Common Weakness Enumeration
CWE-125
AllowedOut-of-bounds Read
Abstraction: Base · Status: Draft
The product reads data past the end, or before the beginning, of the intended buffer.
11338 vulnerabilities reference this CWE, most recent first.
GHSA-VV58-6W72-X5VR
Vulnerability from github – Published: 2022-05-24 17:19 – Updated: 2023-01-09 18:30
VLAI
Details
An out-of-bounds read was addressed with improved input validation. This issue is fixed in iOS 13.5 and iPadOS 13.5, macOS Catalina 10.15.5, tvOS 13.4.5, watchOS 6.2.5. Processing a maliciously crafted audio file may lead to arbitrary code execution.
Severity
7.8 (High)
{
"affected": [],
"aliases": [
"CVE-2020-9791"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2020-06-09T17:15:00Z",
"severity": "HIGH"
},
"details": "An out-of-bounds read was addressed with improved input validation. This issue is fixed in iOS 13.5 and iPadOS 13.5, macOS Catalina 10.15.5, tvOS 13.4.5, watchOS 6.2.5. Processing a maliciously crafted audio file may lead to arbitrary code execution.",
"id": "GHSA-vv58-6w72-x5vr",
"modified": "2023-01-09T18:30:22Z",
"published": "2022-05-24T17:19:39Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2020-9791"
},
{
"type": "WEB",
"url": "https://support.apple.com/HT211168"
},
{
"type": "WEB",
"url": "https://support.apple.com/HT211170"
},
{
"type": "WEB",
"url": "https://support.apple.com/HT211171"
},
{
"type": "WEB",
"url": "https://support.apple.com/HT211175"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-VV9W-VFF6-5RX9
Vulnerability from github – Published: 2026-05-12 00:31 – Updated: 2026-07-18 03:31
VLAI
Details
barebox prior to version 2026.04.0 contains out-of-bounds read vulnerabilities in ext4 extent parsing due to missing validation of the eh_entries field against buffer capacity in fs/ext4/ext4_common.c. Attackers can supply a malicious ext4 filesystem image via USB, SD card, or network boot to trigger heap out-of-bounds reads during boot-time filesystem parsing, potentially redirecting reads to arbitrary disk offsets.
Severity
6.2 (Medium)
{
"affected": [],
"aliases": [
"CVE-2026-34961"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-05-11T22:22:11Z",
"severity": "MODERATE"
},
"details": "barebox prior to version 2026.04.0 contains out-of-bounds read vulnerabilities in ext4 extent parsing due to missing validation of the eh_entries field against buffer capacity in fs/ext4/ext4_common.c. Attackers can supply a malicious ext4 filesystem image via USB, SD card, or network boot to trigger heap out-of-bounds reads during boot-time filesystem parsing, potentially redirecting reads to arbitrary disk offsets.",
"id": "GHSA-vv9w-vff6-5rx9",
"modified": "2026-07-18T03:31:03Z",
"published": "2026-05-12T00:31:15Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-34961"
},
{
"type": "WEB",
"url": "https://github.com/barebox/barebox"
},
{
"type": "WEB",
"url": "https://github.com/barebox/barebox/releases/tag/v2026.04.0"
},
{
"type": "WEB",
"url": "https://www.vulncheck.com/advisories/barebox-ext4-extent-parsing-out-of-bounds-read"
},
{
"type": "WEB",
"url": "https://y637f9qq2x.com/posts/barebox-sandbox-vulns"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
"type": "CVSS_V4"
}
]
}
GHSA-VVCF-VW9F-7QR5
Vulnerability from github – Published: 2021-12-02 00:00 – Updated: 2021-12-05 00:00
VLAI
Details
NXP Kinetis K82 devices have a buffer over-read via a crafted wlength value in a GET Status-Other request during use of USB In-System Programming (ISP) mode. This discloses protected flash memory.
{
"affected": [],
"aliases": [
"CVE-2021-44479"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2021-12-01T15:15:00Z",
"severity": "MODERATE"
},
"details": "NXP Kinetis K82 devices have a buffer over-read via a crafted wlength value in a GET Status-Other request during use of USB In-System Programming (ISP) mode. This discloses protected flash memory.",
"id": "GHSA-vvcf-vw9f-7qr5",
"modified": "2021-12-05T00:00:39Z",
"published": "2021-12-02T00:00:38Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-44479"
},
{
"type": "WEB",
"url": "https://github.com/Xen1thLabs-AE/CVE-2021-40154"
},
{
"type": "WEB",
"url": "https://www.darkmatter.ae/xen1thlabs/published-advisories"
}
],
"schema_version": "1.4.0",
"severity": []
}
GHSA-VVFJ-WJ49-6XR8
Vulnerability from github – Published: 2023-09-04 03:30 – Updated: 2024-04-04 07:25
VLAI
Details
In gnss service, there is a possible out of bounds read due to improper input validation. This could lead to local information disclosure with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS08031947; Issue ID: ALPS08031947.
Severity
4.4 (Medium)
{
"affected": [],
"aliases": [
"CVE-2023-32814"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2023-09-04T03:15:13Z",
"severity": "MODERATE"
},
"details": "In gnss service, there is a possible out of bounds read due to improper input validation. This could lead to local information disclosure with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS08031947; Issue ID: ALPS08031947.",
"id": "GHSA-vvfj-wj49-6xr8",
"modified": "2024-04-04T07:25:11Z",
"published": "2023-09-04T03:30:20Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-32814"
},
{
"type": "WEB",
"url": "https://corp.mediatek.com/product-security-bulletin/September-2023"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:U/C:H/I:N/A:N",
"type": "CVSS_V3"
}
]
}
GHSA-VVG4-VGRV-XFR7
Vulnerability from github – Published: 2021-05-21 14:28 – Updated: 2024-11-13 16:25
VLAI
Summary
Incomplete validation in `tf.raw_ops.CTCLoss`
Details
Impact
Incomplete validation in tf.raw_ops.CTCLoss allows an attacker to trigger an OOB read from heap:
import tensorflow as tf
inputs = tf.constant([], shape=[10, 16, 0], dtype=tf.float32)
labels_indices = tf.constant([], shape=[8, 0], dtype=tf.int64)
labels_values = tf.constant([-100] * 8, shape=[8], dtype=tf.int32)
sequence_length = tf.constant([-100] * 16, shape=[16], dtype=tf.int32)
tf.raw_ops.CTCLoss(inputs=inputs, labels_indices=labels_indices,
labels_values=labels_values, sequence_length=sequence_length,
preprocess_collapse_repeated=True, ctc_merge_repeated=False,
ignore_longer_outputs_than_inputs=True)
An attacker can also trigger a heap buffer overflow:
import tensorflow as tf
inputs = tf.constant([], shape=[7, 2, 0], dtype=tf.float32)
labels_indices = tf.constant([-100, -100], shape=[2, 1], dtype=tf.int64)
labels_values = tf.constant([-100, -100], shape=[2], dtype=tf.int32)
sequence_length = tf.constant([-100, -100], shape=[2], dtype=tf.int32)
tf.raw_ops.CTCLoss(inputs=inputs, labels_indices=labels_indices,
labels_values=labels_values, sequence_length=sequence_length,
preprocess_collapse_repeated=False, ctc_merge_repeated=False,
ignore_longer_outputs_than_inputs=False)
Finally, an attacker can trigger a null pointer dereference:
import tensorflow as tf
inputs = tf.constant([], shape=[0, 2, 11], dtype=tf.float32)
labels_indices = tf.constant([], shape=[0, 2], dtype=tf.int64)
labels_values = tf.constant([], shape=[0], dtype=tf.int32)
sequence_length = tf.constant([-100, -100], shape=[2], dtype=tf.int32)
tf.raw_ops.CTCLoss(inputs=inputs, labels_indices=labels_indices,
labels_values=labels_values, sequence_length=sequence_length,
preprocess_collapse_repeated=False, ctc_merge_repeated=False,
ignore_longer_outputs_than_inputs=False)
Patches
We have patched the issue in GitHub commit14607c0707040d775e06b6817325640cb4b5864c followed by GitHub commit 4504a081af71514bb1828048363e6540f797005b.
The fix will be included in TensorFlow 2.5.0. We will also cherrypick these commits on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
For more information
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
Attribution
This vulnerability has been reported by Yakun Zhang and Ying Wang of Baidu X-Team.
Severity
6.3 (Medium)
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.1.4"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "2.2.0"
},
{
"fixed": "2.2.3"
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"name": "tensorflow"
},
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"name": "tensorflow"
},
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"events": [
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"introduced": "2.4.0"
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"fixed": "2.4.2"
}
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"package": {
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"name": "tensorflow-cpu"
},
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},
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}
],
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"name": "tensorflow-cpu"
},
"ranges": [
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{
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}
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]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-cpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.3.0"
},
{
"fixed": "2.3.3"
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],
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]
},
{
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"ecosystem": "PyPI",
"name": "tensorflow-cpu"
},
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"events": [
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"introduced": "2.4.0"
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{
"fixed": "2.4.2"
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{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.1.4"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.2.0"
},
{
"fixed": "2.2.3"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.3.0"
},
{
"fixed": "2.3.3"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.4.0"
},
{
"fixed": "2.4.2"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2021-29613"
],
"database_specific": {
"cwe_ids": [
"CWE-125",
"CWE-665"
],
"github_reviewed": true,
"github_reviewed_at": "2021-05-17T21:46:09Z",
"nvd_published_at": "2021-05-14T20:15:00Z",
"severity": "MODERATE"
},
"details": "### Impact \nIncomplete validation in `tf.raw_ops.CTCLoss` allows an attacker to trigger an OOB read from heap:\n\n```python\nimport tensorflow as tf\n\ninputs = tf.constant([], shape=[10, 16, 0], dtype=tf.float32)\nlabels_indices = tf.constant([], shape=[8, 0], dtype=tf.int64)\nlabels_values = tf.constant([-100] * 8, shape=[8], dtype=tf.int32)\nsequence_length = tf.constant([-100] * 16, shape=[16], dtype=tf.int32)\n \ntf.raw_ops.CTCLoss(inputs=inputs, labels_indices=labels_indices,\n labels_values=labels_values, sequence_length=sequence_length,\n preprocess_collapse_repeated=True, ctc_merge_repeated=False,\n ignore_longer_outputs_than_inputs=True)\n``` \n \nAn attacker can also trigger a heap buffer overflow:\n\n```python\nimport tensorflow as tf\n\ninputs = tf.constant([], shape=[7, 2, 0], dtype=tf.float32)\nlabels_indices = tf.constant([-100, -100], shape=[2, 1], dtype=tf.int64)\nlabels_values = tf.constant([-100, -100], shape=[2], dtype=tf.int32)\nsequence_length = tf.constant([-100, -100], shape=[2], dtype=tf.int32)\n\ntf.raw_ops.CTCLoss(inputs=inputs, labels_indices=labels_indices,\n labels_values=labels_values, sequence_length=sequence_length,\n preprocess_collapse_repeated=False, ctc_merge_repeated=False,\n ignore_longer_outputs_than_inputs=False)\n```\n\nFinally, an attacker can trigger a null pointer dereference:\n\n```python \nimport tensorflow as tf\n\ninputs = tf.constant([], shape=[0, 2, 11], dtype=tf.float32)\nlabels_indices = tf.constant([], shape=[0, 2], dtype=tf.int64)\nlabels_values = tf.constant([], shape=[0], dtype=tf.int32)\nsequence_length = tf.constant([-100, -100], shape=[2], dtype=tf.int32)\n\ntf.raw_ops.CTCLoss(inputs=inputs, labels_indices=labels_indices,\n labels_values=labels_values, sequence_length=sequence_length,\n preprocess_collapse_repeated=False, ctc_merge_repeated=False,\n ignore_longer_outputs_than_inputs=False)\n```\n\n### Patches\nWe have patched the issue in GitHub commit[14607c0707040d775e06b6817325640cb4b5864c](https://github.com/tensorflow/tensorflow/commit/14607c0707040d775e06b6817325640cb4b5864c) followed by GitHub commit [4504a081af71514bb1828048363e6540f797005b](https://github.com/tensorflow/tensorflow/commit/4504a081af71514bb1828048363e6540f797005b).\n\nThe fix will be included in TensorFlow 2.5.0. We will also cherrypick these commits on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.\n\n### For more information\nPlease consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.\n\n### Attribution\nThis vulnerability has been reported by Yakun Zhang and Ying Wang of Baidu X-Team.",
"id": "GHSA-vvg4-vgrv-xfr7",
"modified": "2024-11-13T16:25:42Z",
"published": "2021-05-21T14:28:39Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vvg4-vgrv-xfr7"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-29613"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/commit/14607c0707040d775e06b6817325640cb4b5864c"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/commit/4504a081af71514bb1828048363e6540f797005b"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-541.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-739.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-250.yaml"
},
{
"type": "PACKAGE",
"url": "https://github.com/tensorflow/tensorflow"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:H/A:H",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:N/VC:N/VI:H/VA:H/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "Incomplete validation in `tf.raw_ops.CTCLoss`"
}
GHSA-VVG7-3VPG-WQ97
Vulnerability from github – Published: 2022-05-24 16:58 – Updated: 2022-11-02 19:00
VLAI
Details
Amazon FreeRTOS up to and including v1.4.8 for AWS lacks length checking in prvProcessReceivedPublish, resulting in leakage of arbitrary memory contents on a device to an attacker. An attacker sends a malformed MQTT publish packet, and waits for an MQTTACK packet containing the leaked data.
Severity
7.5 (High)
{
"affected": [],
"aliases": [
"CVE-2019-13120"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2019-10-07T22:15:00Z",
"severity": "MODERATE"
},
"details": "Amazon FreeRTOS up to and including v1.4.8 for AWS lacks length checking in prvProcessReceivedPublish, resulting in leakage of arbitrary memory contents on a device to an attacker. An attacker sends a malformed MQTT publish packet, and waits for an MQTTACK packet containing the leaked data.",
"id": "GHSA-vvg7-3vpg-wq97",
"modified": "2022-11-02T19:00:31Z",
"published": "2022-05-24T16:58:00Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2019-13120"
},
{
"type": "WEB",
"url": "https://aws.amazon.com/cn/freertos/security-updates"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"type": "CVSS_V3"
}
]
}
GHSA-VVGM-GFHP-RJ9X
Vulnerability from github – Published: 2022-03-24 00:00 – Updated: 2025-12-11 15:30
VLAI
Details
An out-of-bounds read flaw was found in libsndfile's FLAC codec functionality. An attacker who is able to submit a specially crafted file (via tricking a user to open or otherwise) to an application linked with libsndfile and using the FLAC codec, could trigger an out-of-bounds read that would most likely cause a crash but could potentially leak memory information that could be used in further exploitation of other flaws.
Severity
8.1 (High)
{
"affected": [],
"aliases": [
"CVE-2021-4156"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2022-03-23T20:15:00Z",
"severity": "HIGH"
},
"details": "An out-of-bounds read flaw was found in libsndfile\u0027s FLAC codec functionality. An attacker who is able to submit a specially crafted file (via tricking a user to open or otherwise) to an application linked with libsndfile and using the FLAC codec, could trigger an out-of-bounds read that would most likely cause a crash but could potentially leak memory information that could be used in further exploitation of other flaws.",
"id": "GHSA-vvgm-gfhp-rj9x",
"modified": "2025-12-11T15:30:29Z",
"published": "2022-03-24T00:00:17Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-4156"
},
{
"type": "WEB",
"url": "https://github.com/libsndfile/libsndfile/issues/731"
},
{
"type": "WEB",
"url": "https://github.com/libsndfile/libsndfile/pull/732/commits/4c30646abf7834e406f7e2429c70bc254e18beab"
},
{
"type": "WEB",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2027690"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2022/06/msg00020.html"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2022/09/msg00036.html"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2025/12/msg00013.html"
},
{
"type": "WEB",
"url": "https://security.gentoo.org/glsa/202309-11"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-VVM2-V4WQ-VRWP
Vulnerability from github – Published: 2022-05-12 00:00 – Updated: 2022-05-12 00:00
VLAI
Details
Acrobat Reader DC version 22.001.2011x (and earlier), 20.005.3033x (and earlier) and 17.012.3022x (and earlier) are affected by an out-of-bounds read vulnerability when parsing a crafted file, which could result in a read past the end of an allocated memory structure. An attacker could leverage this vulnerability to bypass mitigations such as ASLR. Exploitation of this issue requires user interaction in that a victim must open a malicious file.
Severity
5.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2022-28248"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2022-05-11T18:15:00Z",
"severity": "MODERATE"
},
"details": "Acrobat Reader DC version 22.001.2011x (and earlier), 20.005.3033x (and earlier) and 17.012.3022x (and earlier) are affected by an out-of-bounds read vulnerability when parsing a crafted file, which could result in a read past the end of an allocated memory structure. An attacker could leverage this vulnerability to bypass mitigations such as ASLR. Exploitation of this issue requires user interaction in that a victim must open a malicious file.",
"id": "GHSA-vvm2-v4wq-vrwp",
"modified": "2022-05-12T00:00:54Z",
"published": "2022-05-12T00:00:54Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-28248"
},
{
"type": "WEB",
"url": "https://helpx.adobe.com/security/products/acrobat/apsb22-16.html"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N",
"type": "CVSS_V3"
}
]
}
GHSA-VVMP-35V7-F6Q6
Vulnerability from github – Published: 2023-07-18 15:30 – Updated: 2024-04-04 06:13
VLAI
Details
An Out of Bounds flaw was discovered in htmodoc 1.9.12 in function parse_tree() in toc.cxx, this possibly leads to memory layout information leaking in the data. This might be used in a chain of vulnerability in order to reach code execution.
Severity
7.8 (High)
{
"affected": [],
"aliases": [
"CVE-2021-34121"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2023-07-18T14:15:11Z",
"severity": "HIGH"
},
"details": "An Out of Bounds flaw was discovered in htmodoc 1.9.12 in function parse_tree() in toc.cxx, this possibly leads to memory layout information leaking in the data. This might be used in a chain of vulnerability in order to reach code execution.",
"id": "GHSA-vvmp-35v7-f6q6",
"modified": "2024-04-04T06:13:21Z",
"published": "2023-07-18T15:30:36Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-34121"
},
{
"type": "WEB",
"url": "https://github.com/michaelrsweet/htmldoc/issues/433"
},
{
"type": "WEB",
"url": "https://github.com/michaelrsweet/htmldoc/commit/c67bbd8756f015e33e4ba639a40c7f9d8bd9e8ab"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-VVPG-867H-JMQX
Vulnerability from github – Published: 2022-05-13 01:53 – Updated: 2022-05-13 01:53
VLAI
Details
Incorrect IPC serialization in Skia in Google Chrome prior to 65.0.3325.146 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page.
Severity
8.8 (High)
{
"affected": [],
"aliases": [
"CVE-2018-6067"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2018-11-14T15:29:00Z",
"severity": "HIGH"
},
"details": "Incorrect IPC serialization in Skia in Google Chrome prior to 65.0.3325.146 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page.",
"id": "GHSA-vvpg-867h-jmqx",
"modified": "2022-05-13T01:53:01Z",
"published": "2022-05-13T01:53:01Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2018-6067"
},
{
"type": "WEB",
"url": "https://access.redhat.com/errata/RHSA-2018:0484"
},
{
"type": "WEB",
"url": "https://chromereleases.googleblog.com/2018/03/stable-channel-update-for-desktop.html"
},
{
"type": "WEB",
"url": "https://crbug.com/779428"
},
{
"type": "WEB",
"url": "https://www.debian.org/security/2018/dsa-4182"
},
{
"type": "WEB",
"url": "http://www.securityfocus.com/bid/103297"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
Mitigation MIT-5
Implementation
Strategy: Input Validation
- Assume all input is malicious. Use an "accept known good" input validation strategy, i.e., use a list of acceptable inputs that strictly conform to specifications. Reject any input that does not strictly conform to specifications, or transform it into something that does.
- When performing input validation, consider all potentially relevant properties, including length, type of input, the full range of acceptable values, missing or extra inputs, syntax, consistency across related fields, and conformance to business rules. As an example of business rule logic, "boat" may be syntactically valid because it only contains alphanumeric characters, but it is not valid if the input is only expected to contain colors such as "red" or "blue."
- Do not rely exclusively on looking for malicious or malformed inputs. This is likely to miss at least one undesirable input, especially if the code's environment changes. This can give attackers enough room to bypass the intended validation. However, denylists can be useful for detecting potential attacks or determining which inputs are so malformed that they should be rejected outright.
- To reduce the likelihood of introducing an out-of-bounds read, ensure that you validate and ensure correct calculations for any length argument, buffer size calculation, or offset. Be especially careful of relying on a sentinel (i.e. special character such as NUL) in untrusted inputs.
Mitigation
Architecture and Design
Strategy: Language Selection
Use a language that provides appropriate memory abstractions.
CAPEC-540: Overread Buffers
An adversary attacks a target by providing input that causes an application to read beyond the boundary of a defined buffer. This typically occurs when a value influencing where to start or stop reading is set to reflect positions outside of the valid memory location of the buffer. This type of attack may result in exposure of sensitive information, a system crash, or arbitrary code execution.