CWE-190
Integer Overflow or Wraparound
The product performs a calculation that can produce an integer overflow or wraparound when the logic assumes that the resulting value will always be larger than the original value. This occurs when an integer value is incremented to a value that is too large to store in the associated representation. When this occurs, the value may become a very small or negative number.
CVE-2022-23558 (GCVE-0-2022-23558)
Vulnerability from cvelistv5 – Published: 2022-02-04 22:32 – Updated: 2025-04-22 18:23
VLAI
Title
Integer overflow in TFLite array creation
Summary
Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in `TfLiteIntArrayCreate`. The `TfLiteIntArrayGetSizeInBytes` returns an `int` instead of a `size_t. An attacker can control model inputs such that `computed_size` overflows the size of `int` datatype. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Severity
7.6 (High)
CWE
- CWE-190 - Integer Overflow or Wraparound
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/tensorflow/tensorflow/security… | x_refsource_CONFIRM |
| https://github.com/tensorflow/tensorflow/commit/a… | x_refsource_MISC |
| https://github.com/tensorflow/tensorflow/blob/ca6… | x_refsource_MISC |
| https://github.com/tensorflow/tensorflow/blob/ca6… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| tensorflow | tensorflow |
Affected:
>= 2.7.0, < 2.7.1
Affected: >= 2.6.0, < 2.6.3 Affected: < 2.5.3 |
{
"containers": {
"adp": [
{
"providerMetadata": {
"dateUpdated": "2024-08-03T03:43:46.558Z",
"orgId": "af854a3a-2127-422b-91ae-364da2661108",
"shortName": "CVE"
},
"references": [
{
"tags": [
"x_refsource_CONFIRM",
"x_transferred"
],
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9gwq-6cwj-47h3"
},
{
"tags": [
"x_refsource_MISC",
"x_transferred"
],
"url": "https://github.com/tensorflow/tensorflow/commit/a1e1511dde36b3f8aa27a6ec630838e7ea40e091"
},
{
"tags": [
"x_refsource_MISC",
"x_transferred"
],
"url": "https://github.com/tensorflow/tensorflow/blob/ca6f96b62ad84207fbec580404eaa7dd7403a550/tensorflow/lite/c/common.c#L24-L33"
},
{
"tags": [
"x_refsource_MISC",
"x_transferred"
],
"url": "https://github.com/tensorflow/tensorflow/blob/ca6f96b62ad84207fbec580404eaa7dd7403a550/tensorflow/lite/c/common.c#L53-L60"
}
],
"title": "CVE Program Container"
},
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2022-23558",
"options": [
{
"Exploitation": "poc"
},
{
"Automatable": "no"
},
{
"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-04-22T15:49:53.186813Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2025-04-22T18:23:00.833Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "tensorflow",
"vendor": "tensorflow",
"versions": [
{
"status": "affected",
"version": "\u003e= 2.7.0, \u003c 2.7.1"
},
{
"status": "affected",
"version": "\u003e= 2.6.0, \u003c 2.6.3"
},
{
"status": "affected",
"version": "\u003c 2.5.3"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in `TfLiteIntArrayCreate`. The `TfLiteIntArrayGetSizeInBytes` returns an `int` instead of a `size_t. An attacker can control model inputs such that `computed_size` overflows the size of `int` datatype. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.6,
"baseSeverity": "HIGH",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-190",
"description": "CWE-190: Integer Overflow or Wraparound",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2022-02-04T22:32:43.000Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9gwq-6cwj-47h3"
},
{
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/tensorflow/tensorflow/commit/a1e1511dde36b3f8aa27a6ec630838e7ea40e091"
},
{
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/tensorflow/tensorflow/blob/ca6f96b62ad84207fbec580404eaa7dd7403a550/tensorflow/lite/c/common.c#L24-L33"
},
{
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/tensorflow/tensorflow/blob/ca6f96b62ad84207fbec580404eaa7dd7403a550/tensorflow/lite/c/common.c#L53-L60"
}
],
"source": {
"advisory": "GHSA-9gwq-6cwj-47h3",
"discovery": "UNKNOWN"
},
"title": "Integer overflow in TFLite array creation",
"x_legacyV4Record": {
"CVE_data_meta": {
"ASSIGNER": "security-advisories@github.com",
"ID": "CVE-2022-23558",
"STATE": "PUBLIC",
"TITLE": "Integer overflow in TFLite array creation"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "tensorflow",
"version": {
"version_data": [
{
"version_value": "\u003e= 2.7.0, \u003c 2.7.1"
},
{
"version_value": "\u003e= 2.6.0, \u003c 2.6.3"
},
{
"version_value": "\u003c 2.5.3"
}
]
}
}
]
},
"vendor_name": "tensorflow"
}
]
}
},
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "eng",
"value": "Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in `TfLiteIntArrayCreate`. The `TfLiteIntArrayGetSizeInBytes` returns an `int` instead of a `size_t. An attacker can control model inputs such that `computed_size` overflows the size of `int` datatype. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range."
}
]
},
"impact": {
"cvss": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.6,
"baseSeverity": "HIGH",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H",
"version": "3.1"
}
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "CWE-190: Integer Overflow or Wraparound"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9gwq-6cwj-47h3",
"refsource": "CONFIRM",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9gwq-6cwj-47h3"
},
{
"name": "https://github.com/tensorflow/tensorflow/commit/a1e1511dde36b3f8aa27a6ec630838e7ea40e091",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/commit/a1e1511dde36b3f8aa27a6ec630838e7ea40e091"
},
{
"name": "https://github.com/tensorflow/tensorflow/blob/ca6f96b62ad84207fbec580404eaa7dd7403a550/tensorflow/lite/c/common.c#L24-L33",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/blob/ca6f96b62ad84207fbec580404eaa7dd7403a550/tensorflow/lite/c/common.c#L24-L33"
},
{
"name": "https://github.com/tensorflow/tensorflow/blob/ca6f96b62ad84207fbec580404eaa7dd7403a550/tensorflow/lite/c/common.c#L53-L60",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/blob/ca6f96b62ad84207fbec580404eaa7dd7403a550/tensorflow/lite/c/common.c#L53-L60"
}
]
},
"source": {
"advisory": "GHSA-9gwq-6cwj-47h3",
"discovery": "UNKNOWN"
}
}
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2022-23558",
"datePublished": "2022-02-04T22:32:43.000Z",
"dateReserved": "2022-01-19T00:00:00.000Z",
"dateUpdated": "2025-04-22T18:23:00.833Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
CVE-2022-23559 (GCVE-0-2022-23559)
Vulnerability from cvelistv5 – Published: 2022-02-04 22:32 – Updated: 2025-04-22 18:23
VLAI
Title
Integer overflow in TFLite
Summary
Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in embedding lookup operations. Both `embedding_size` and `lookup_size` are products of values provided by the user. Hence, a malicious user could trigger overflows in the multiplication. In certain scenarios, this can then result in heap OOB read/write. Users are advised to upgrade to a patched version.
Severity
8.8 (High)
CWE
- CWE-190 - Integer Overflow or Wraparound
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://github.com/tensorflow/tensorflow/security… | x_refsource_CONFIRM |
| https://github.com/tensorflow/tensorflow/commit/1… | x_refsource_MISC |
| https://github.com/tensorflow/tensorflow/commit/a… | x_refsource_MISC |
| https://github.com/tensorflow/tensorflow/commit/f… | x_refsource_MISC |
| https://github.com/tensorflow/tensorflow/blob/ca6… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| tensorflow | tensorflow |
Affected:
>= 2.7.0, < 2.7.1
Affected: >= 2.6.0, < 2.6.3 Affected: < 2.5.3 |
{
"containers": {
"adp": [
{
"providerMetadata": {
"dateUpdated": "2024-08-03T03:43:46.566Z",
"orgId": "af854a3a-2127-422b-91ae-364da2661108",
"shortName": "CVE"
},
"references": [
{
"tags": [
"x_refsource_CONFIRM",
"x_transferred"
],
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-98p5-x8x4-c9m5"
},
{
"tags": [
"x_refsource_MISC",
"x_transferred"
],
"url": "https://github.com/tensorflow/tensorflow/commit/1de49725a5fc4e48f1a3b902ec3599ee99283043"
},
{
"tags": [
"x_refsource_MISC",
"x_transferred"
],
"url": "https://github.com/tensorflow/tensorflow/commit/a4e401da71458d253b05e41f28637b65baf64be4"
},
{
"tags": [
"x_refsource_MISC",
"x_transferred"
],
"url": "https://github.com/tensorflow/tensorflow/commit/f19be71717c497723ba0cea0379e84f061a75e01"
},
{
"tags": [
"x_refsource_MISC",
"x_transferred"
],
"url": "https://github.com/tensorflow/tensorflow/blob/ca6f96b62ad84207fbec580404eaa7dd7403a550/tensorflow/lite/kernels/embedding_lookup_sparse.cc#L179-L189"
}
],
"title": "CVE Program Container"
},
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2022-23559",
"options": [
{
"Exploitation": "poc"
},
{
"Automatable": "no"
},
{
"Technical Impact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-04-22T15:44:41.212287Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2025-04-22T18:23:20.273Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "tensorflow",
"vendor": "tensorflow",
"versions": [
{
"status": "affected",
"version": "\u003e= 2.7.0, \u003c 2.7.1"
},
{
"status": "affected",
"version": "\u003e= 2.6.0, \u003c 2.6.3"
},
{
"status": "affected",
"version": "\u003c 2.5.3"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in embedding lookup operations. Both `embedding_size` and `lookup_size` are products of values provided by the user. Hence, a malicious user could trigger overflows in the multiplication. In certain scenarios, this can then result in heap OOB read/write. Users are advised to upgrade to a patched version."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-190",
"description": "CWE-190: Integer Overflow or Wraparound",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2022-02-04T22:32:37.000Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-98p5-x8x4-c9m5"
},
{
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/tensorflow/tensorflow/commit/1de49725a5fc4e48f1a3b902ec3599ee99283043"
},
{
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/tensorflow/tensorflow/commit/a4e401da71458d253b05e41f28637b65baf64be4"
},
{
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/tensorflow/tensorflow/commit/f19be71717c497723ba0cea0379e84f061a75e01"
},
{
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/tensorflow/tensorflow/blob/ca6f96b62ad84207fbec580404eaa7dd7403a550/tensorflow/lite/kernels/embedding_lookup_sparse.cc#L179-L189"
}
],
"source": {
"advisory": "GHSA-98p5-x8x4-c9m5",
"discovery": "UNKNOWN"
},
"title": "Integer overflow in TFLite",
"x_legacyV4Record": {
"CVE_data_meta": {
"ASSIGNER": "security-advisories@github.com",
"ID": "CVE-2022-23559",
"STATE": "PUBLIC",
"TITLE": "Integer overflow in TFLite"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "tensorflow",
"version": {
"version_data": [
{
"version_value": "\u003e= 2.7.0, \u003c 2.7.1"
},
{
"version_value": "\u003e= 2.6.0, \u003c 2.6.3"
},
{
"version_value": "\u003c 2.5.3"
}
]
}
}
]
},
"vendor_name": "tensorflow"
}
]
}
},
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "eng",
"value": "Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in embedding lookup operations. Both `embedding_size` and `lookup_size` are products of values provided by the user. Hence, a malicious user could trigger overflows in the multiplication. In certain scenarios, this can then result in heap OOB read/write. Users are advised to upgrade to a patched version."
}
]
},
"impact": {
"cvss": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
}
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "CWE-190: Integer Overflow or Wraparound"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-98p5-x8x4-c9m5",
"refsource": "CONFIRM",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-98p5-x8x4-c9m5"
},
{
"name": "https://github.com/tensorflow/tensorflow/commit/1de49725a5fc4e48f1a3b902ec3599ee99283043",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/commit/1de49725a5fc4e48f1a3b902ec3599ee99283043"
},
{
"name": "https://github.com/tensorflow/tensorflow/commit/a4e401da71458d253b05e41f28637b65baf64be4",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/commit/a4e401da71458d253b05e41f28637b65baf64be4"
},
{
"name": "https://github.com/tensorflow/tensorflow/commit/f19be71717c497723ba0cea0379e84f061a75e01",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/commit/f19be71717c497723ba0cea0379e84f061a75e01"
},
{
"name": "https://github.com/tensorflow/tensorflow/blob/ca6f96b62ad84207fbec580404eaa7dd7403a550/tensorflow/lite/kernels/embedding_lookup_sparse.cc#L179-L189",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/blob/ca6f96b62ad84207fbec580404eaa7dd7403a550/tensorflow/lite/kernels/embedding_lookup_sparse.cc#L179-L189"
}
]
},
"source": {
"advisory": "GHSA-98p5-x8x4-c9m5",
"discovery": "UNKNOWN"
}
}
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2022-23559",
"datePublished": "2022-02-04T22:32:37.000Z",
"dateReserved": "2022-01-19T00:00:00.000Z",
"dateUpdated": "2025-04-22T18:23:20.273Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
CVE-2022-23562 (GCVE-0-2022-23562)
Vulnerability from cvelistv5 – Published: 2022-02-04 22:32 – Updated: 2025-04-23 19:07
VLAI
Title
Integer overflow in Tensorflow
Summary
Tensorflow is an Open Source Machine Learning Framework. The implementation of `Range` suffers from integer overflows. These can trigger undefined behavior or, in some scenarios, extremely large allocations. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Severity
7.6 (High)
CWE
- CWE-190 - Integer Overflow or Wraparound
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/tensorflow/tensorflow/pull/51733 | x_refsource_MISC |
| https://github.com/tensorflow/tensorflow/security… | x_refsource_CONFIRM |
| https://github.com/tensorflow/tensorflow/issues/52676 | x_refsource_MISC |
| https://github.com/tensorflow/tensorflow/commit/f… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| tensorflow | tensorflow |
Affected:
>= 2.7.0, < 2.7.1
Affected: >= 2.6.0, < 2.6.3 Affected: < 2.5.3 |
{
"containers": {
"adp": [
{
"providerMetadata": {
"dateUpdated": "2024-08-03T03:43:46.582Z",
"orgId": "af854a3a-2127-422b-91ae-364da2661108",
"shortName": "CVE"
},
"references": [
{
"tags": [
"x_refsource_MISC",
"x_transferred"
],
"url": "https://github.com/tensorflow/tensorflow/pull/51733"
},
{
"tags": [
"x_refsource_CONFIRM",
"x_transferred"
],
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qx3f-p745-w4hr"
},
{
"tags": [
"x_refsource_MISC",
"x_transferred"
],
"url": "https://github.com/tensorflow/tensorflow/issues/52676"
},
{
"tags": [
"x_refsource_MISC",
"x_transferred"
],
"url": "https://github.com/tensorflow/tensorflow/commit/f0147751fd5d2ff23251149ebad9af9f03010732"
}
],
"title": "CVE Program Container"
},
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2022-23562",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "no"
},
{
"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-04-23T14:11:16.455709Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2025-04-23T19:07:46.214Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "tensorflow",
"vendor": "tensorflow",
"versions": [
{
"status": "affected",
"version": "\u003e= 2.7.0, \u003c 2.7.1"
},
{
"status": "affected",
"version": "\u003e= 2.6.0, \u003c 2.6.3"
},
{
"status": "affected",
"version": "\u003c 2.5.3"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "Tensorflow is an Open Source Machine Learning Framework. The implementation of `Range` suffers from integer overflows. These can trigger undefined behavior or, in some scenarios, extremely large allocations. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.6,
"baseSeverity": "HIGH",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-190",
"description": "CWE-190: Integer Overflow or Wraparound",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2022-02-04T22:32:39.000Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/tensorflow/tensorflow/pull/51733"
},
{
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qx3f-p745-w4hr"
},
{
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/tensorflow/tensorflow/issues/52676"
},
{
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/tensorflow/tensorflow/commit/f0147751fd5d2ff23251149ebad9af9f03010732"
}
],
"source": {
"advisory": "GHSA-qx3f-p745-w4hr",
"discovery": "UNKNOWN"
},
"title": "Integer overflow in Tensorflow",
"x_legacyV4Record": {
"CVE_data_meta": {
"ASSIGNER": "security-advisories@github.com",
"ID": "CVE-2022-23562",
"STATE": "PUBLIC",
"TITLE": "Integer overflow in Tensorflow"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "tensorflow",
"version": {
"version_data": [
{
"version_value": "\u003e= 2.7.0, \u003c 2.7.1"
},
{
"version_value": "\u003e= 2.6.0, \u003c 2.6.3"
},
{
"version_value": "\u003c 2.5.3"
}
]
}
}
]
},
"vendor_name": "tensorflow"
}
]
}
},
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "eng",
"value": "Tensorflow is an Open Source Machine Learning Framework. The implementation of `Range` suffers from integer overflows. These can trigger undefined behavior or, in some scenarios, extremely large allocations. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range."
}
]
},
"impact": {
"cvss": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.6,
"baseSeverity": "HIGH",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H",
"version": "3.1"
}
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "CWE-190: Integer Overflow or Wraparound"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://github.com/tensorflow/tensorflow/pull/51733",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/pull/51733"
},
{
"name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qx3f-p745-w4hr",
"refsource": "CONFIRM",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qx3f-p745-w4hr"
},
{
"name": "https://github.com/tensorflow/tensorflow/issues/52676",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/issues/52676"
},
{
"name": "https://github.com/tensorflow/tensorflow/commit/f0147751fd5d2ff23251149ebad9af9f03010732",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/commit/f0147751fd5d2ff23251149ebad9af9f03010732"
}
]
},
"source": {
"advisory": "GHSA-qx3f-p745-w4hr",
"discovery": "UNKNOWN"
}
}
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2022-23562",
"datePublished": "2022-02-04T22:32:39.000Z",
"dateReserved": "2022-01-19T00:00:00.000Z",
"dateUpdated": "2025-04-23T19:07:46.214Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
CVE-2022-23575 (GCVE-0-2022-23575)
Vulnerability from cvelistv5 – Published: 2022-02-04 22:32 – Updated: 2025-04-22 18:25
VLAI
Title
Integer overflow in Tensorflow
Summary
Tensorflow is an Open Source Machine Learning Framework. The implementation of `OpLevelCostEstimator::CalculateTensorSize` is vulnerable to an integer overflow if an attacker can create an operation which would involve a tensor with large enough number of elements. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Severity
6.5 (Medium)
CWE
- CWE-190 - Integer Overflow or Wraparound
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/tensorflow/tensorflow/security… | x_refsource_CONFIRM |
| https://github.com/tensorflow/tensorflow/commit/f… | x_refsource_MISC |
| https://github.com/tensorflow/tensorflow/blob/a13… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| tensorflow | tensorflow |
Affected:
>= 2.7.0, < 2.7.1
Affected: >= 2.6.0, < 2.6.3 Affected: < 2.5.3 |
{
"containers": {
"adp": [
{
"providerMetadata": {
"dateUpdated": "2024-08-03T03:43:46.468Z",
"orgId": "af854a3a-2127-422b-91ae-364da2661108",
"shortName": "CVE"
},
"references": [
{
"tags": [
"x_refsource_CONFIRM",
"x_transferred"
],
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c94w-c95p-phf8"
},
{
"tags": [
"x_refsource_MISC",
"x_transferred"
],
"url": "https://github.com/tensorflow/tensorflow/commit/fcd18ce3101f245b083b30655c27b239dc72221e"
},
{
"tags": [
"x_refsource_MISC",
"x_transferred"
],
"url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/costs/op_level_cost_estimator.cc#L1552-L1558"
}
],
"title": "CVE Program Container"
},
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2022-23575",
"options": [
{
"Exploitation": "poc"
},
{
"Automatable": "no"
},
{
"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-04-22T15:50:36.136563Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2025-04-22T18:25:16.716Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "tensorflow",
"vendor": "tensorflow",
"versions": [
{
"status": "affected",
"version": "\u003e= 2.7.0, \u003c 2.7.1"
},
{
"status": "affected",
"version": "\u003e= 2.6.0, \u003c 2.6.3"
},
{
"status": "affected",
"version": "\u003c 2.5.3"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "Tensorflow is an Open Source Machine Learning Framework. The implementation of `OpLevelCostEstimator::CalculateTensorSize` is vulnerable to an integer overflow if an attacker can create an operation which would involve a tensor with large enough number of elements. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-190",
"description": "CWE-190: Integer Overflow or Wraparound",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2022-02-04T22:32:23.000Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c94w-c95p-phf8"
},
{
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/tensorflow/tensorflow/commit/fcd18ce3101f245b083b30655c27b239dc72221e"
},
{
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/costs/op_level_cost_estimator.cc#L1552-L1558"
}
],
"source": {
"advisory": "GHSA-c94w-c95p-phf8",
"discovery": "UNKNOWN"
},
"title": "Integer overflow in Tensorflow",
"x_legacyV4Record": {
"CVE_data_meta": {
"ASSIGNER": "security-advisories@github.com",
"ID": "CVE-2022-23575",
"STATE": "PUBLIC",
"TITLE": "Integer overflow in Tensorflow"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "tensorflow",
"version": {
"version_data": [
{
"version_value": "\u003e= 2.7.0, \u003c 2.7.1"
},
{
"version_value": "\u003e= 2.6.0, \u003c 2.6.3"
},
{
"version_value": "\u003c 2.5.3"
}
]
}
}
]
},
"vendor_name": "tensorflow"
}
]
}
},
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "eng",
"value": "Tensorflow is an Open Source Machine Learning Framework. The implementation of `OpLevelCostEstimator::CalculateTensorSize` is vulnerable to an integer overflow if an attacker can create an operation which would involve a tensor with large enough number of elements. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range."
}
]
},
"impact": {
"cvss": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
}
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "CWE-190: Integer Overflow or Wraparound"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c94w-c95p-phf8",
"refsource": "CONFIRM",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c94w-c95p-phf8"
},
{
"name": "https://github.com/tensorflow/tensorflow/commit/fcd18ce3101f245b083b30655c27b239dc72221e",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/commit/fcd18ce3101f245b083b30655c27b239dc72221e"
},
{
"name": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/costs/op_level_cost_estimator.cc#L1552-L1558",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/costs/op_level_cost_estimator.cc#L1552-L1558"
}
]
},
"source": {
"advisory": "GHSA-c94w-c95p-phf8",
"discovery": "UNKNOWN"
}
}
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2022-23575",
"datePublished": "2022-02-04T22:32:23.000Z",
"dateReserved": "2022-01-19T00:00:00.000Z",
"dateUpdated": "2025-04-22T18:25:16.716Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
CVE-2022-23576 (GCVE-0-2022-23576)
Vulnerability from cvelistv5 – Published: 2022-02-04 22:32 – Updated: 2025-04-22 18:25
VLAI
Title
Integer overflow in Tensorflow
Summary
Tensorflow is an Open Source Machine Learning Framework. The implementation of `OpLevelCostEstimator::CalculateOutputSize` is vulnerable to an integer overflow if an attacker can create an operation which would involve tensors with large enough number of elements. We can have a large enough number of dimensions in `output_shape.dim()` or just a small number of dimensions being large enough to cause an overflow in the multiplication. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Severity
6.5 (Medium)
CWE
- CWE-190 - Integer Overflow or Wraparound
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/tensorflow/tensorflow/security… | x_refsource_CONFIRM |
| https://github.com/tensorflow/tensorflow/commit/b… | x_refsource_MISC |
| https://github.com/tensorflow/tensorflow/blob/a13… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| tensorflow | tensorflow |
Affected:
>= 2.7.0, < 2.7.1
Affected: >= 2.6.0, < 2.6.3 Affected: < 2.5.3 |
{
"containers": {
"adp": [
{
"providerMetadata": {
"dateUpdated": "2024-08-03T03:43:46.574Z",
"orgId": "af854a3a-2127-422b-91ae-364da2661108",
"shortName": "CVE"
},
"references": [
{
"tags": [
"x_refsource_CONFIRM",
"x_transferred"
],
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wm93-f238-7v37"
},
{
"tags": [
"x_refsource_MISC",
"x_transferred"
],
"url": "https://github.com/tensorflow/tensorflow/commit/b9bd6cfd1c50e6807846af9a86f9b83cafc9c8ae"
},
{
"tags": [
"x_refsource_MISC",
"x_transferred"
],
"url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/costs/op_level_cost_estimator.cc#L1598-L1617"
}
],
"title": "CVE Program Container"
},
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2022-23576",
"options": [
{
"Exploitation": "poc"
},
{
"Automatable": "no"
},
{
"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-04-22T15:50:40.440692Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2025-04-22T18:25:25.949Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "tensorflow",
"vendor": "tensorflow",
"versions": [
{
"status": "affected",
"version": "\u003e= 2.7.0, \u003c 2.7.1"
},
{
"status": "affected",
"version": "\u003e= 2.6.0, \u003c 2.6.3"
},
{
"status": "affected",
"version": "\u003c 2.5.3"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "Tensorflow is an Open Source Machine Learning Framework. The implementation of `OpLevelCostEstimator::CalculateOutputSize` is vulnerable to an integer overflow if an attacker can create an operation which would involve tensors with large enough number of elements. We can have a large enough number of dimensions in `output_shape.dim()` or just a small number of dimensions being large enough to cause an overflow in the multiplication. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-190",
"description": "CWE-190: Integer Overflow or Wraparound",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2022-02-04T22:32:22.000Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wm93-f238-7v37"
},
{
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/tensorflow/tensorflow/commit/b9bd6cfd1c50e6807846af9a86f9b83cafc9c8ae"
},
{
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/costs/op_level_cost_estimator.cc#L1598-L1617"
}
],
"source": {
"advisory": "GHSA-wm93-f238-7v37",
"discovery": "UNKNOWN"
},
"title": "Integer overflow in Tensorflow",
"x_legacyV4Record": {
"CVE_data_meta": {
"ASSIGNER": "security-advisories@github.com",
"ID": "CVE-2022-23576",
"STATE": "PUBLIC",
"TITLE": "Integer overflow in Tensorflow"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "tensorflow",
"version": {
"version_data": [
{
"version_value": "\u003e= 2.7.0, \u003c 2.7.1"
},
{
"version_value": "\u003e= 2.6.0, \u003c 2.6.3"
},
{
"version_value": "\u003c 2.5.3"
}
]
}
}
]
},
"vendor_name": "tensorflow"
}
]
}
},
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "eng",
"value": "Tensorflow is an Open Source Machine Learning Framework. The implementation of `OpLevelCostEstimator::CalculateOutputSize` is vulnerable to an integer overflow if an attacker can create an operation which would involve tensors with large enough number of elements. We can have a large enough number of dimensions in `output_shape.dim()` or just a small number of dimensions being large enough to cause an overflow in the multiplication. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range."
}
]
},
"impact": {
"cvss": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
}
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "CWE-190: Integer Overflow or Wraparound"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wm93-f238-7v37",
"refsource": "CONFIRM",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wm93-f238-7v37"
},
{
"name": "https://github.com/tensorflow/tensorflow/commit/b9bd6cfd1c50e6807846af9a86f9b83cafc9c8ae",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/commit/b9bd6cfd1c50e6807846af9a86f9b83cafc9c8ae"
},
{
"name": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/costs/op_level_cost_estimator.cc#L1598-L1617",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/costs/op_level_cost_estimator.cc#L1598-L1617"
}
]
},
"source": {
"advisory": "GHSA-wm93-f238-7v37",
"discovery": "UNKNOWN"
}
}
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2022-23576",
"datePublished": "2022-02-04T22:32:22.000Z",
"dateReserved": "2022-01-19T00:00:00.000Z",
"dateUpdated": "2025-04-22T18:25:25.949Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
CVE-2022-23587 (GCVE-0-2022-23587)
Vulnerability from cvelistv5 – Published: 2022-02-04 22:32 – Updated: 2025-04-22 18:26
VLAI
Title
Integer overflow in Tensorflow
Summary
Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow is vulnerable to an integer overflow during cost estimation for crop and resize. Since the cropping parameters are user controlled, a malicious person can trigger undefined behavior. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Severity
8.8 (High)
CWE
- CWE-190 - Integer Overflow or Wraparound
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/tensorflow/tensorflow/security… | x_refsource_CONFIRM |
| https://github.com/tensorflow/tensorflow/commit/0… | x_refsource_MISC |
| https://github.com/tensorflow/tensorflow/blob/a13… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| tensorflow | tensorflow |
Affected:
>= 2.7.0, < 2.7.1
Affected: >= 2.6.0, < 2.6.3 Affected: < 2.5.3 |
{
"containers": {
"adp": [
{
"providerMetadata": {
"dateUpdated": "2024-08-03T03:43:46.906Z",
"orgId": "af854a3a-2127-422b-91ae-364da2661108",
"shortName": "CVE"
},
"references": [
{
"tags": [
"x_refsource_CONFIRM",
"x_transferred"
],
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8jj7-5vxc-pg2q"
},
{
"tags": [
"x_refsource_MISC",
"x_transferred"
],
"url": "https://github.com/tensorflow/tensorflow/commit/0aaaae6eca5a7175a193696383f582f53adab23f"
},
{
"tags": [
"x_refsource_MISC",
"x_transferred"
],
"url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/costs/op_level_cost_estimator.cc#L2621-L2689"
}
],
"title": "CVE Program Container"
},
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2022-23587",
"options": [
{
"Exploitation": "poc"
},
{
"Automatable": "no"
},
{
"Technical Impact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-04-22T15:44:58.828296Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2025-04-22T18:26:44.601Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "tensorflow",
"vendor": "tensorflow",
"versions": [
{
"status": "affected",
"version": "\u003e= 2.7.0, \u003c 2.7.1"
},
{
"status": "affected",
"version": "\u003e= 2.6.0, \u003c 2.6.3"
},
{
"status": "affected",
"version": "\u003c 2.5.3"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow is vulnerable to an integer overflow during cost estimation for crop and resize. Since the cropping parameters are user controlled, a malicious person can trigger undefined behavior. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-190",
"description": "CWE-190: Integer Overflow or Wraparound",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2022-02-04T22:32:14.000Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8jj7-5vxc-pg2q"
},
{
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/tensorflow/tensorflow/commit/0aaaae6eca5a7175a193696383f582f53adab23f"
},
{
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/costs/op_level_cost_estimator.cc#L2621-L2689"
}
],
"source": {
"advisory": "GHSA-8jj7-5vxc-pg2q",
"discovery": "UNKNOWN"
},
"title": "Integer overflow in Tensorflow",
"x_legacyV4Record": {
"CVE_data_meta": {
"ASSIGNER": "security-advisories@github.com",
"ID": "CVE-2022-23587",
"STATE": "PUBLIC",
"TITLE": "Integer overflow in Tensorflow"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "tensorflow",
"version": {
"version_data": [
{
"version_value": "\u003e= 2.7.0, \u003c 2.7.1"
},
{
"version_value": "\u003e= 2.6.0, \u003c 2.6.3"
},
{
"version_value": "\u003c 2.5.3"
}
]
}
}
]
},
"vendor_name": "tensorflow"
}
]
}
},
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "eng",
"value": "Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow is vulnerable to an integer overflow during cost estimation for crop and resize. Since the cropping parameters are user controlled, a malicious person can trigger undefined behavior. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range."
}
]
},
"impact": {
"cvss": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
}
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "CWE-190: Integer Overflow or Wraparound"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8jj7-5vxc-pg2q",
"refsource": "CONFIRM",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8jj7-5vxc-pg2q"
},
{
"name": "https://github.com/tensorflow/tensorflow/commit/0aaaae6eca5a7175a193696383f582f53adab23f",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/commit/0aaaae6eca5a7175a193696383f582f53adab23f"
},
{
"name": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/costs/op_level_cost_estimator.cc#L2621-L2689",
"refsource": "MISC",
"url": "https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/costs/op_level_cost_estimator.cc#L2621-L2689"
}
]
},
"source": {
"advisory": "GHSA-8jj7-5vxc-pg2q",
"discovery": "UNKNOWN"
}
}
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2022-23587",
"datePublished": "2022-02-04T22:32:14.000Z",
"dateReserved": "2022-01-19T00:00:00.000Z",
"dateUpdated": "2025-04-22T18:26:44.601Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
CVE-2022-23943 (GCVE-0-2022-23943)
Vulnerability from cvelistv5 – Published: 2022-03-14 10:15 – Updated: 2024-08-03 03:59
VLAI
Title
mod_sed: Read/write beyond bounds
Summary
Out-of-bounds Write vulnerability in mod_sed of Apache HTTP Server allows an attacker to overwrite heap memory with possibly attacker provided data. This issue affects Apache HTTP Server 2.4 version 2.4.52 and prior versions.
Severity
No CVSS data available.
Assigner
References
11 references
| URL | Tags |
|---|---|
| https://httpd.apache.org/security/vulnerabilities… | x_refsource_MISC |
| http://www.openwall.com/lists/oss-security/2022/03/14/1 | mailing-listx_refsource_MLIST |
| https://lists.fedoraproject.org/archives/list/pac… | vendor-advisoryx_refsource_FEDORA |
| https://lists.debian.org/debian-lts-announce/2022… | mailing-listx_refsource_MLIST |
| https://lists.fedoraproject.org/archives/list/pac… | vendor-advisoryx_refsource_FEDORA |
| https://lists.fedoraproject.org/archives/list/pac… | vendor-advisoryx_refsource_FEDORA |
| https://www.oracle.com/security-alerts/cpuapr2022.html | x_refsource_MISC |
| https://www.tenable.com/security/tns-2022-08 | x_refsource_CONFIRM |
| https://security.netapp.com/advisory/ntap-2022032… | x_refsource_CONFIRM |
| https://www.tenable.com/security/tns-2022-09 | x_refsource_CONFIRM |
| https://security.gentoo.org/glsa/202208-20 | vendor-advisoryx_refsource_GENTOO |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Apache Software Foundation | Apache HTTP Server |
Affected:
2.4 , ≤ 2.4.52
(custom)
|
Credits
{
"containers": {
"adp": [
{
"providerMetadata": {
"dateUpdated": "2024-08-03T03:59:23.156Z",
"orgId": "af854a3a-2127-422b-91ae-364da2661108",
"shortName": "CVE"
},
"references": [
{
"tags": [
"x_refsource_MISC",
"x_transferred"
],
"url": "https://httpd.apache.org/security/vulnerabilities_24.html"
},
{
"name": "[oss-security] 20220314 CVE-2022-23943: Apache HTTP Server: mod_sed: Read/write beyond bounds",
"tags": [
"mailing-list",
"x_refsource_MLIST",
"x_transferred"
],
"url": "http://www.openwall.com/lists/oss-security/2022/03/14/1"
},
{
"name": "FEDORA-2022-b4103753e9",
"tags": [
"vendor-advisory",
"x_refsource_FEDORA",
"x_transferred"
],
"url": "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/RGWILBORT67SHMSLYSQZG2NMXGCMPUZO/"
},
{
"name": "[debian-lts-announce] 20220322 [SECURITY] [DLA 2960-1] apache2 security update",
"tags": [
"mailing-list",
"x_refsource_MLIST",
"x_transferred"
],
"url": "https://lists.debian.org/debian-lts-announce/2022/03/msg00033.html"
},
{
"name": "FEDORA-2022-21264ec6db",
"tags": [
"vendor-advisory",
"x_refsource_FEDORA",
"x_transferred"
],
"url": "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/Z7H26WJ6TPKNWV3QKY4BHKUKQVUTZJTD/"
},
{
"name": "FEDORA-2022-78e3211c55",
"tags": [
"vendor-advisory",
"x_refsource_FEDORA",
"x_transferred"
],
"url": "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/X73C35MMMZGBVPQQCH7LQZUMYZNQA5FO/"
},
{
"tags": [
"x_refsource_MISC",
"x_transferred"
],
"url": "https://www.oracle.com/security-alerts/cpuapr2022.html"
},
{
"tags": [
"x_refsource_CONFIRM",
"x_transferred"
],
"url": "https://www.tenable.com/security/tns-2022-08"
},
{
"tags": [
"x_refsource_CONFIRM",
"x_transferred"
],
"url": "https://security.netapp.com/advisory/ntap-20220321-0001/"
},
{
"tags": [
"x_refsource_CONFIRM",
"x_transferred"
],
"url": "https://www.tenable.com/security/tns-2022-09"
},
{
"name": "GLSA-202208-20",
"tags": [
"vendor-advisory",
"x_refsource_GENTOO",
"x_transferred"
],
"url": "https://security.gentoo.org/glsa/202208-20"
}
],
"title": "CVE Program Container"
}
],
"cna": {
"affected": [
{
"product": "Apache HTTP Server",
"vendor": "Apache Software Foundation",
"versions": [
{
"lessThanOrEqual": "2.4.52",
"status": "affected",
"version": "2.4",
"versionType": "custom"
}
]
}
],
"credits": [
{
"lang": "en",
"value": "Ronald Crane (Zippenhop LLC)"
}
],
"descriptions": [
{
"lang": "en",
"value": "Out-of-bounds Write vulnerability in mod_sed of Apache HTTP Server allows an attacker to overwrite heap memory with possibly attacker provided data. This issue affects Apache HTTP Server 2.4 version 2.4.52 and prior versions."
}
],
"metrics": [
{
"other": {
"content": {
"other": "important"
},
"type": "unknown"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-787",
"description": "CWE-787 Out-of-bounds Write",
"lang": "en",
"type": "CWE"
}
]
},
{
"descriptions": [
{
"cweId": "CWE-190",
"description": "CWE-190 Integer Overflow or Wraparound",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2022-08-14T01:07:51.000Z",
"orgId": "f0158376-9dc2-43b6-827c-5f631a4d8d09",
"shortName": "apache"
},
"references": [
{
"tags": [
"x_refsource_MISC"
],
"url": "https://httpd.apache.org/security/vulnerabilities_24.html"
},
{
"name": "[oss-security] 20220314 CVE-2022-23943: Apache HTTP Server: mod_sed: Read/write beyond bounds",
"tags": [
"mailing-list",
"x_refsource_MLIST"
],
"url": "http://www.openwall.com/lists/oss-security/2022/03/14/1"
},
{
"name": "FEDORA-2022-b4103753e9",
"tags": [
"vendor-advisory",
"x_refsource_FEDORA"
],
"url": "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/RGWILBORT67SHMSLYSQZG2NMXGCMPUZO/"
},
{
"name": "[debian-lts-announce] 20220322 [SECURITY] [DLA 2960-1] apache2 security update",
"tags": [
"mailing-list",
"x_refsource_MLIST"
],
"url": "https://lists.debian.org/debian-lts-announce/2022/03/msg00033.html"
},
{
"name": "FEDORA-2022-21264ec6db",
"tags": [
"vendor-advisory",
"x_refsource_FEDORA"
],
"url": "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/Z7H26WJ6TPKNWV3QKY4BHKUKQVUTZJTD/"
},
{
"name": "FEDORA-2022-78e3211c55",
"tags": [
"vendor-advisory",
"x_refsource_FEDORA"
],
"url": "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/X73C35MMMZGBVPQQCH7LQZUMYZNQA5FO/"
},
{
"tags": [
"x_refsource_MISC"
],
"url": "https://www.oracle.com/security-alerts/cpuapr2022.html"
},
{
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://www.tenable.com/security/tns-2022-08"
},
{
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://security.netapp.com/advisory/ntap-20220321-0001/"
},
{
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://www.tenable.com/security/tns-2022-09"
},
{
"name": "GLSA-202208-20",
"tags": [
"vendor-advisory",
"x_refsource_GENTOO"
],
"url": "https://security.gentoo.org/glsa/202208-20"
}
],
"source": {
"discovery": "UNKNOWN"
},
"timeline": [
{
"lang": "en",
"time": "2022-01-13T00:00:00.000Z",
"value": "Reported to security team"
}
],
"title": "mod_sed: Read/write beyond bounds",
"x_generator": {
"engine": "Vulnogram 0.0.9"
},
"x_legacyV4Record": {
"CVE_data_meta": {
"ASSIGNER": "security@apache.org",
"ID": "CVE-2022-23943",
"STATE": "PUBLIC",
"TITLE": "mod_sed: Read/write beyond bounds"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "Apache HTTP Server",
"version": {
"version_data": [
{
"version_affected": "\u003c=",
"version_name": "2.4",
"version_value": "2.4.52"
}
]
}
}
]
},
"vendor_name": "Apache Software Foundation"
}
]
}
},
"credit": [
{
"lang": "eng",
"value": "Ronald Crane (Zippenhop LLC)"
}
],
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "eng",
"value": "Out-of-bounds Write vulnerability in mod_sed of Apache HTTP Server allows an attacker to overwrite heap memory with possibly attacker provided data. This issue affects Apache HTTP Server 2.4 version 2.4.52 and prior versions."
}
]
},
"generator": {
"engine": "Vulnogram 0.0.9"
},
"impact": [
{
"other": "important"
}
],
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "CWE-787 Out-of-bounds Write"
}
]
},
{
"description": [
{
"lang": "eng",
"value": "CWE-190 Integer Overflow or Wraparound"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://httpd.apache.org/security/vulnerabilities_24.html",
"refsource": "MISC",
"url": "https://httpd.apache.org/security/vulnerabilities_24.html"
},
{
"name": "[oss-security] 20220314 CVE-2022-23943: Apache HTTP Server: mod_sed: Read/write beyond bounds",
"refsource": "MLIST",
"url": "http://www.openwall.com/lists/oss-security/2022/03/14/1"
},
{
"name": "FEDORA-2022-b4103753e9",
"refsource": "FEDORA",
"url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/RGWILBORT67SHMSLYSQZG2NMXGCMPUZO/"
},
{
"name": "[debian-lts-announce] 20220322 [SECURITY] [DLA 2960-1] apache2 security update",
"refsource": "MLIST",
"url": "https://lists.debian.org/debian-lts-announce/2022/03/msg00033.html"
},
{
"name": "FEDORA-2022-21264ec6db",
"refsource": "FEDORA",
"url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/Z7H26WJ6TPKNWV3QKY4BHKUKQVUTZJTD/"
},
{
"name": "FEDORA-2022-78e3211c55",
"refsource": "FEDORA",
"url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/X73C35MMMZGBVPQQCH7LQZUMYZNQA5FO/"
},
{
"name": "https://www.oracle.com/security-alerts/cpuapr2022.html",
"refsource": "MISC",
"url": "https://www.oracle.com/security-alerts/cpuapr2022.html"
},
{
"name": "https://www.tenable.com/security/tns-2022-08",
"refsource": "CONFIRM",
"url": "https://www.tenable.com/security/tns-2022-08"
},
{
"name": "https://security.netapp.com/advisory/ntap-20220321-0001/",
"refsource": "CONFIRM",
"url": "https://security.netapp.com/advisory/ntap-20220321-0001/"
},
{
"name": "https://www.tenable.com/security/tns-2022-09",
"refsource": "CONFIRM",
"url": "https://www.tenable.com/security/tns-2022-09"
},
{
"name": "GLSA-202208-20",
"refsource": "GENTOO",
"url": "https://security.gentoo.org/glsa/202208-20"
}
]
},
"source": {
"discovery": "UNKNOWN"
},
"timeline": [
{
"lang": "en",
"time": "2022-01-13T00:00:00.000Z",
"value": "Reported to security team"
}
]
}
}
},
"cveMetadata": {
"assignerOrgId": "f0158376-9dc2-43b6-827c-5f631a4d8d09",
"assignerShortName": "apache",
"cveId": "CVE-2022-23943",
"datePublished": "2022-03-14T10:15:54.000Z",
"dateReserved": "2022-01-25T00:00:00.000Z",
"dateUpdated": "2024-08-03T03:59:23.156Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
CVE-2022-24310 (GCVE-0-2022-24310)
Vulnerability from cvelistv5 – Published: 2022-02-09 22:04 – Updated: 2024-08-03 04:07
VLAI
Summary
A CWE-190: Integer Overflow or Wraparound vulnerability exists that could cause heap-based buffer overflow, leading to denial of service and potentially remote code execution when an attacker sends multiple specially crafted messages. Affected Product: Interactive Graphical SCADA System Data Server (V15.0.0.22020 and prior)
Severity
No CVSS data available.
CWE
- CWE-190 - Integer Overflow or Wraparound
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://download.schneider-electric.com/files?p_D… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| n/a | Interactive Graphical SCADA System Data Server (V15.0.0.22020 and prior) |
Affected:
Interactive Graphical SCADA System Data Server (V15.0.0.22020 and prior)
|
{
"containers": {
"adp": [
{
"providerMetadata": {
"dateUpdated": "2024-08-03T04:07:02.515Z",
"orgId": "af854a3a-2127-422b-91ae-364da2661108",
"shortName": "CVE"
},
"references": [
{
"tags": [
"x_refsource_MISC",
"x_transferred"
],
"url": "https://download.schneider-electric.com/files?p_Doc_Ref=SEVD-2022-039-01"
}
],
"title": "CVE Program Container"
}
],
"cna": {
"affected": [
{
"product": "Interactive Graphical SCADA System Data Server (V15.0.0.22020 and prior)",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "Interactive Graphical SCADA System Data Server (V15.0.0.22020 and prior)"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "A CWE-190: Integer Overflow or Wraparound vulnerability exists that could cause heap-based buffer overflow, leading to denial of service and potentially remote code execution when an attacker sends multiple specially crafted messages. Affected Product: Interactive Graphical SCADA System Data Server (V15.0.0.22020 and prior)"
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-190",
"description": "CWE-190: Integer Overflow or Wraparound",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2022-02-09T22:04:57.000Z",
"orgId": "076d1eb6-cfab-4401-b34d-6dfc2a413bdb",
"shortName": "schneider"
},
"references": [
{
"tags": [
"x_refsource_MISC"
],
"url": "https://download.schneider-electric.com/files?p_Doc_Ref=SEVD-2022-039-01"
}
],
"x_legacyV4Record": {
"CVE_data_meta": {
"ASSIGNER": "cybersecurity@schneider-electric.com",
"ID": "CVE-2022-24310",
"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "Interactive Graphical SCADA System Data Server (V15.0.0.22020 and prior)",
"version": {
"version_data": [
{
"version_value": "Interactive Graphical SCADA System Data Server (V15.0.0.22020 and prior)"
}
]
}
}
]
},
"vendor_name": "n/a"
}
]
}
},
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "eng",
"value": "A CWE-190: Integer Overflow or Wraparound vulnerability exists that could cause heap-based buffer overflow, leading to denial of service and potentially remote code execution when an attacker sends multiple specially crafted messages. Affected Product: Interactive Graphical SCADA System Data Server (V15.0.0.22020 and prior)"
}
]
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "CWE-190: Integer Overflow or Wraparound"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://download.schneider-electric.com/files?p_Doc_Ref=SEVD-2022-039-01",
"refsource": "MISC",
"url": "https://download.schneider-electric.com/files?p_Doc_Ref=SEVD-2022-039-01"
}
]
}
}
}
},
"cveMetadata": {
"assignerOrgId": "076d1eb6-cfab-4401-b34d-6dfc2a413bdb",
"assignerShortName": "schneider",
"cveId": "CVE-2022-24310",
"datePublished": "2022-02-09T22:04:57.000Z",
"dateReserved": "2022-02-02T00:00:00.000Z",
"dateUpdated": "2024-08-03T04:07:02.515Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
CVE-2022-24354 (GCVE-0-2022-24354)
Vulnerability from cvelistv5 – Published: 2022-02-18 19:52 – Updated: 2024-08-03 04:07
VLAI
Summary
This vulnerability allows network-adjacent attackers to execute arbitrary code on affected installations of TP-Link AC1750 prior to 1.1.4 Build 20211022 rel.59103(5553) routers. Authentication is not required to exploit this vulnerability. The specific flaw exists within the NetUSB.ko module. The issue results from the lack of proper validation of user-supplied data, which can result in an integer overflow before allocating a buffer. An attacker can leverage this vulnerability to execute code in the context of root. Was ZDI-CAN-15835.
Severity
8.8 (High)
CWE
- CWE-190 - Integer Overflow or Wraparound
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://www.zerodayinitiative.com/advisories/ZDI-… | x_refsource_MISC |
Impacted products
Credits
{
"containers": {
"adp": [
{
"providerMetadata": {
"dateUpdated": "2024-08-03T04:07:02.563Z",
"orgId": "af854a3a-2127-422b-91ae-364da2661108",
"shortName": "CVE"
},
"references": [
{
"tags": [
"x_refsource_MISC",
"x_transferred"
],
"url": "https://www.zerodayinitiative.com/advisories/ZDI-22-264/"
}
],
"title": "CVE Program Container"
}
],
"cna": {
"affected": [
{
"product": "AC1750",
"vendor": "TP-Link",
"versions": [
{
"status": "affected",
"version": "prior to 1.1.4 Build 20211022 rel.59103(5553)"
}
]
}
],
"credits": [
{
"lang": "en",
"value": "Axel \u00270vercl0k\u0027 Souchet from https://doar-e.github.io/"
}
],
"descriptions": [
{
"lang": "en",
"value": "This vulnerability allows network-adjacent attackers to execute arbitrary code on affected installations of TP-Link AC1750 prior to 1.1.4 Build 20211022 rel.59103(5553) routers. Authentication is not required to exploit this vulnerability. The specific flaw exists within the NetUSB.ko module. The issue results from the lack of proper validation of user-supplied data, which can result in an integer overflow before allocating a buffer. An attacker can leverage this vulnerability to execute code in the context of root. Was ZDI-CAN-15835."
}
],
"metrics": [
{
"cvssV3_0": {
"attackComplexity": "LOW",
"attackVector": "ADJACENT_NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.0"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-190",
"description": "CWE-190: Integer Overflow or Wraparound",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2022-02-18T19:52:04.000Z",
"orgId": "99f1926a-a320-47d8-bbb5-42feb611262e",
"shortName": "zdi"
},
"references": [
{
"tags": [
"x_refsource_MISC"
],
"url": "https://www.zerodayinitiative.com/advisories/ZDI-22-264/"
}
],
"x_legacyV4Record": {
"CVE_data_meta": {
"ASSIGNER": "zdi-disclosures@trendmicro.com",
"ID": "CVE-2022-24354",
"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "AC1750",
"version": {
"version_data": [
{
"version_value": "prior to 1.1.4 Build 20211022 rel.59103(5553)"
}
]
}
}
]
},
"vendor_name": "TP-Link"
}
]
}
},
"credit": "Axel \u00270vercl0k\u0027 Souchet from https://doar-e.github.io/",
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "eng",
"value": "This vulnerability allows network-adjacent attackers to execute arbitrary code on affected installations of TP-Link AC1750 prior to 1.1.4 Build 20211022 rel.59103(5553) routers. Authentication is not required to exploit this vulnerability. The specific flaw exists within the NetUSB.ko module. The issue results from the lack of proper validation of user-supplied data, which can result in an integer overflow before allocating a buffer. An attacker can leverage this vulnerability to execute code in the context of root. Was ZDI-CAN-15835."
}
]
},
"impact": {
"cvss": {
"vectorString": "CVSS:3.0/AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.0"
}
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "CWE-190: Integer Overflow or Wraparound"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://www.zerodayinitiative.com/advisories/ZDI-22-264/",
"refsource": "MISC",
"url": "https://www.zerodayinitiative.com/advisories/ZDI-22-264/"
}
]
}
}
}
},
"cveMetadata": {
"assignerOrgId": "99f1926a-a320-47d8-bbb5-42feb611262e",
"assignerShortName": "zdi",
"cveId": "CVE-2022-24354",
"datePublished": "2022-02-18T19:52:04.000Z",
"dateReserved": "2022-02-02T00:00:00.000Z",
"dateUpdated": "2024-08-03T04:07:02.563Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
CVE-2022-2454 (GCVE-0-2022-2454)
Vulnerability from cvelistv5 – Published: 2022-07-19 00:00 – Updated: 2024-08-03 00:39
VLAI
Title
Integer Overflow or Wraparound in gpac/gpac
Summary
Integer Overflow or Wraparound in GitHub repository gpac/gpac prior to 2.1-DEV.
Severity
7.8 (High)
CWE
- CWE-190 - Integer Overflow or Wraparound
Assigner
References
3 references
Impacted products
{
"containers": {
"adp": [
{
"providerMetadata": {
"dateUpdated": "2024-08-03T00:39:07.766Z",
"orgId": "af854a3a-2127-422b-91ae-364da2661108",
"shortName": "CVE"
},
"references": [
{
"tags": [
"x_transferred"
],
"url": "https://huntr.dev/bounties/105d40d0-46d7-461e-9f8e-20c4cdea925f"
},
{
"tags": [
"x_transferred"
],
"url": "https://github.com/gpac/gpac/commit/faa75edde3dfeba1e2cf6ffa48e45a50f1042096"
},
{
"name": "DSA-5411",
"tags": [
"vendor-advisory",
"x_transferred"
],
"url": "https://www.debian.org/security/2023/dsa-5411"
}
],
"title": "CVE Program Container"
}
],
"cna": {
"affected": [
{
"product": "gpac/gpac",
"vendor": "gpac",
"versions": [
{
"lessThan": "2.1-DEV",
"status": "affected",
"version": "unspecified",
"versionType": "custom"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "Integer Overflow or Wraparound in GitHub repository gpac/gpac prior to 2.1-DEV."
}
],
"metrics": [
{
"cvssV3_0": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 7.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.0"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-190",
"description": "CWE-190 Integer Overflow or Wraparound",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2023-05-27T00:00:00.000Z",
"orgId": "c09c270a-b464-47c1-9133-acb35b22c19a",
"shortName": "@huntrdev"
},
"references": [
{
"url": "https://huntr.dev/bounties/105d40d0-46d7-461e-9f8e-20c4cdea925f"
},
{
"url": "https://github.com/gpac/gpac/commit/faa75edde3dfeba1e2cf6ffa48e45a50f1042096"
},
{
"name": "DSA-5411",
"tags": [
"vendor-advisory"
],
"url": "https://www.debian.org/security/2023/dsa-5411"
}
],
"source": {
"advisory": "105d40d0-46d7-461e-9f8e-20c4cdea925f",
"discovery": "EXTERNAL"
},
"title": "Integer Overflow or Wraparound in gpac/gpac"
}
},
"cveMetadata": {
"assignerOrgId": "c09c270a-b464-47c1-9133-acb35b22c19a",
"assignerShortName": "@huntrdev",
"cveId": "CVE-2022-2454",
"datePublished": "2022-07-19T00:00:00.000Z",
"dateReserved": "2022-07-17T00:00:00.000Z",
"dateUpdated": "2024-08-03T00:39:07.766Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
Mitigation
Phase: Requirements
Description:
- Ensure that all protocols are strictly defined, such that all out-of-bounds behavior can be identified simply, and require strict conformance to the protocol.
Mitigation ID: MIT-3
Phase: Requirements
Strategy: Language Selection
Description:
- Use a language that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid.
- If possible, choose a language or compiler that performs automatic bounds checking.
Mitigation ID: MIT-4
Phase: Architecture and Design
Strategy: Libraries or Frameworks
Description:
- Use a vetted library or framework that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid [REF-1482].
- Use libraries or frameworks that make it easier to handle numbers without unexpected consequences.
- Examples include safe integer handling packages such as SafeInt (C++) or IntegerLib (C or C++). [REF-106]
Mitigation ID: MIT-8
Phase: Implementation
Strategy: Input Validation
Description:
- Perform input validation on any numeric input by ensuring that it is within the expected range. Enforce that the input meets both the minimum and maximum requirements for the expected range.
- Use unsigned integers where possible. This makes it easier to perform validation for integer overflows. When signed integers are required, ensure that the range check includes minimum values as well as maximum values.
Mitigation ID: MIT-36
Phase: Implementation
Description:
- Understand the programming language's underlying representation and how it interacts with numeric calculation (CWE-681). Pay close attention to byte size discrepancies, precision, signed/unsigned distinctions, truncation, conversion and casting between types, "not-a-number" calculations, and how the language handles numbers that are too large or too small for its underlying representation. [REF-7]
- Also be careful to account for 32-bit, 64-bit, and other potential differences that may affect the numeric representation.
Mitigation ID: MIT-15
Phase: Architecture and Design
Description:
- For any security checks that are performed on the client side, ensure that these checks are duplicated on the server side, in order to avoid CWE-602. Attackers can bypass the client-side checks by modifying values after the checks have been performed, or by changing the client to remove the client-side checks entirely. Then, these modified values would be submitted to the server.
Mitigation ID: MIT-26
Phase: Implementation
Strategy: Compilation or Build Hardening
Description:
- Examine compiler warnings closely and eliminate problems with potential security implications, such as signed / unsigned mismatch in memory operations, or use of uninitialized variables. Even if the weakness is rarely exploitable, a single failure may lead to the compromise of the entire system.
CAPEC-92: Forced Integer Overflow
This attack forces an integer variable to go out of range. The integer variable is often used as an offset such as size of memory allocation or similarly. The attacker would typically control the value of such variable and try to get it out of range. For instance the integer in question is incremented past the maximum possible value, it may wrap to become a very small, or negative number, therefore providing a very incorrect value which can lead to unexpected behavior. At worst the attacker can execute arbitrary code.