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.
11411 vulnerabilities reference this CWE, most recent first.
GHSA-CG88-RPVP-CJV5
Vulnerability from github – Published: 2022-11-21 22:04 – Updated: 2022-11-21 22:04
VLAI
Summary
Out of bounds write in grappler in Tensorflow
Details
Impact
The function MakeGrapplerFunctionItem takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered.
Patches
We have patched the issue in GitHub commit a65411a1d69edfb16b25907ffb8f73556ce36bb7.
The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.10.1.
For more information
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
Severity
7.1 (High)
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.8.4"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow"
},
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"events": [
{
"introduced": "2.9.0"
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{
"fixed": "2.9.3"
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]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow"
},
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{
"introduced": "2.10.0"
},
{
"fixed": "2.10.1"
}
],
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}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-cpu"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.8.4"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.8.4"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-cpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.9.0"
},
{
"fixed": "2.9.3"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.9.0"
},
{
"fixed": "2.9.3"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-cpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.10.0"
},
{
"fixed": "2.10.1"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.10.0"
},
{
"fixed": "2.10.1"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2022-41902"
],
"database_specific": {
"cwe_ids": [
"CWE-125",
"CWE-787"
],
"github_reviewed": true,
"github_reviewed_at": "2022-11-21T22:04:06Z",
"nvd_published_at": "2022-12-06T22:15:00Z",
"severity": "HIGH"
},
"details": "### Impact\nThe function [MakeGrapplerFunctionItem](https://https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/grappler/utils/functions.cc#L221) takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered.\n\n### Patches\nWe have patched the issue in GitHub commit [a65411a1d69edfb16b25907ffb8f73556ce36bb7](https://github.com/tensorflow/tensorflow/commit/a65411a1d69edfb16b25907ffb8f73556ce36bb7).\n\nThe fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.10.1.\n\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",
"id": "GHSA-cg88-rpvp-cjv5",
"modified": "2022-11-21T22:04:06Z",
"published": "2022-11-21T22:04:06Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cg88-rpvp-cjv5"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-41902"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/commit/a65411a1d69edfb16b25907ffb8f73556ce36bb7"
},
{
"type": "PACKAGE",
"url": "https://github.com/tensorflow/tensorflow"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/grappler/utils/functions.cc#L221"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
],
"summary": "Out of bounds write in grappler in Tensorflow"
}
GHSA-CG92-XV4W-RRJ3
Vulnerability from github – Published: 2022-05-24 17:09 – Updated: 2022-10-29 12:00
VLAI
Details
An issue was discovered in the Linux kernel through 5.5.6. set_fdc in drivers/block/floppy.c leads to a wait_til_ready out-of-bounds read because the FDC index is not checked for errors before assigning it, aka CID-2e90ca68b0d2.
Severity
7.1 (High)
{
"affected": [],
"aliases": [
"CVE-2020-9383"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2020-02-25T16:15:00Z",
"severity": "LOW"
},
"details": "An issue was discovered in the Linux kernel through 5.5.6. set_fdc in drivers/block/floppy.c leads to a wait_til_ready out-of-bounds read because the FDC index is not checked for errors before assigning it, aka CID-2e90ca68b0d2.",
"id": "GHSA-cg92-xv4w-rrj3",
"modified": "2022-10-29T12:00:37Z",
"published": "2022-05-24T17:09:39Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2020-9383"
},
{
"type": "WEB",
"url": "https://github.com/torvalds/linux/commit/2e90ca68b0d2f5548804f22f0dd61145516171e3"
},
{
"type": "WEB",
"url": "https://git.kernel.org/pub/scm/linux/kernel/git/tip/tip.git/commit/?id=2f9ac30a54dc0181ddac3705cdcf4775d863c530"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2020/06/msg00011.html"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2020/06/msg00012.html"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2020/06/msg00013.html"
},
{
"type": "WEB",
"url": "https://security.netapp.com/advisory/ntap-20200313-0003"
},
{
"type": "WEB",
"url": "https://usn.ubuntu.com/4342-1"
},
{
"type": "WEB",
"url": "https://usn.ubuntu.com/4344-1"
},
{
"type": "WEB",
"url": "https://usn.ubuntu.com/4345-1"
},
{
"type": "WEB",
"url": "https://usn.ubuntu.com/4346-1"
},
{
"type": "WEB",
"url": "https://www.debian.org/security/2020/dsa-4698"
},
{
"type": "WEB",
"url": "http://lists.opensuse.org/opensuse-security-announce/2020-03/msg00039.html"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-CGC3-MRG4-8C7F
Vulnerability from github – Published: 2022-05-14 00:52 – Updated: 2022-05-14 00:52
VLAI
Details
Adobe Acrobat and Reader versions 2018.011.20063 and earlier, 2017.011.30102 and earlier, and 2015.006.30452 and earlier have an out-of-bounds read vulnerability. Successful exploitation could lead to information disclosure.
Severity
5.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2018-15946"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2018-10-12T18:29:00Z",
"severity": "MODERATE"
},
"details": "Adobe Acrobat and Reader versions 2018.011.20063 and earlier, 2017.011.30102 and earlier, and 2015.006.30452 and earlier have an out-of-bounds read vulnerability. Successful exploitation could lead to information disclosure.",
"id": "GHSA-cgc3-mrg4-8c7f",
"modified": "2022-05-14T00:52:57Z",
"published": "2022-05-14T00:52:57Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2018-15946"
},
{
"type": "WEB",
"url": "https://helpx.adobe.com/security/products/acrobat/apsb18-30.html"
},
{
"type": "WEB",
"url": "http://www.securityfocus.com/bid/105439"
},
{
"type": "WEB",
"url": "http://www.securitytracker.com/id/1041809"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N",
"type": "CVSS_V3"
}
]
}
GHSA-CGF9-HGH6-4HRM
Vulnerability from github – Published: 2022-05-24 17:31 – 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 13.6 and iPadOS 13.6, tvOS 13.4.8, watchOS 6.2.8, Safari 13.1.2, iTunes 12.10.8 for Windows, iCloud for Windows 11.3, iCloud for Windows 7.20. A remote attacker may be able to cause unexpected application termination or arbitrary code execution.
Severity
4.3 (Medium)
{
"affected": [],
"aliases": [
"CVE-2020-9894"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2020-10-16T17:15:00Z",
"severity": "MODERATE"
},
"details": "An out-of-bounds read was addressed with improved input validation. This issue is fixed in iOS 13.6 and iPadOS 13.6, tvOS 13.4.8, watchOS 6.2.8, Safari 13.1.2, iTunes 12.10.8 for Windows, iCloud for Windows 11.3, iCloud for Windows 7.20. A remote attacker may be able to cause unexpected application termination or arbitrary code execution.",
"id": "GHSA-cgf9-hgh6-4hrm",
"modified": "2023-01-09T18:30:25Z",
"published": "2022-05-24T17:31:07Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2020-9894"
},
{
"type": "WEB",
"url": "https://support.apple.com/HT211288"
},
{
"type": "WEB",
"url": "https://support.apple.com/HT211290"
},
{
"type": "WEB",
"url": "https://support.apple.com/HT211291"
},
{
"type": "WEB",
"url": "https://support.apple.com/HT211292"
},
{
"type": "WEB",
"url": "https://support.apple.com/HT211293"
},
{
"type": "WEB",
"url": "https://support.apple.com/HT211294"
},
{
"type": "WEB",
"url": "https://support.apple.com/HT211295"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:N/A:N",
"type": "CVSS_V3"
}
]
}
GHSA-CGFM-62J4-V4RF
Vulnerability from github – Published: 2021-08-25 14:44 – Updated: 2024-11-13 16:36
VLAI
Summary
Heap out of bounds access in sparse reduction operations
Details
Impact
The implementation of sparse reduction operations in TensorFlow can trigger accesses outside of bounds of heap allocated data:
import tensorflow as tf
x = tf.SparseTensor(
indices=[[773, 773, 773], [773, 773, 773]],
values=[1, 1],
dense_shape=[337, 337, 337])
tf.sparse.reduce_sum(x, 1)
The implementation fails to validate that each reduction group does not overflow and that each corresponding index does not point to outside the bounds of the input tensor.
Patches
We have patched the issue in GitHub commit 87158f43f05f2720a374f3e6d22a7aaa3a33f750.
The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, 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 members of the Aivul Team from Qihoo 360.
Severity
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.3.4"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "2.4.0"
},
{
"fixed": "2.4.3"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "2.5.0"
},
{
"fixed": "2.5.1"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"2.5.0"
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-cpu"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.3.4"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-cpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.4.0"
},
{
"fixed": "2.4.3"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-cpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.5.0"
},
{
"fixed": "2.5.1"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"2.5.0"
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.3.4"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.4.0"
},
{
"fixed": "2.4.3"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.5.0"
},
{
"fixed": "2.5.1"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"2.5.0"
]
}
],
"aliases": [
"CVE-2021-37635"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": true,
"github_reviewed_at": "2021-08-23T16:57:40Z",
"nvd_published_at": "2021-08-12T21:15:00Z",
"severity": "HIGH"
},
"details": "### Impact\nThe implementation of sparse reduction operations in TensorFlow can trigger accesses outside of bounds of heap allocated data:\n\n```python\nimport tensorflow as tf\n\nx = tf.SparseTensor(\n indices=[[773, 773, 773], [773, 773, 773]],\n values=[1, 1],\n dense_shape=[337, 337, 337])\ntf.sparse.reduce_sum(x, 1)\n```\n\nThe [implementation](https://github.com/tensorflow/tensorflow/blob/a1bc56203f21a5a4995311825ffaba7a670d7747/tensorflow/core/kernels/sparse_reduce_op.cc#L217-L228) fails to validate that each reduction group does not overflow and that each corresponding index does not point to outside the bounds of the input tensor.\n\n### Patches\nWe have patched the issue in GitHub commit [87158f43f05f2720a374f3e6d22a7aaa3a33f750](https://github.com/tensorflow/tensorflow/commit/87158f43f05f2720a374f3e6d22a7aaa3a33f750). \n\nThe fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, 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 members of the Aivul Team from Qihoo 360.",
"id": "GHSA-cgfm-62j4-v4rf",
"modified": "2024-11-13T16:36:10Z",
"published": "2021-08-25T14:44:17Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cgfm-62j4-v4rf"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-37635"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/commit/87158f43f05f2720a374f3e6d22a7aaa3a33f750"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-548.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-746.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-257.yaml"
},
{
"type": "PACKAGE",
"url": "https://github.com/tensorflow/tensorflow"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:H",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:H/VI:L/VA:H/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "Heap out of bounds access in sparse reduction operations"
}
GHSA-CGGM-PVCH-P5V5
Vulnerability from github – Published: 2023-06-23 18:30 – Updated: 2024-04-04 05:07
VLAI
Details
An out-of-bounds read was addressed with improved input validation. This issue is fixed in macOS Ventura 13.4, macOS Big Sur 11.7.7, macOS Monterey 12.6.6. Processing a 3D model may result in disclosure of process memory
Severity
5.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2023-32382"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2023-06-23T18:15:12Z",
"severity": "MODERATE"
},
"details": "An out-of-bounds read was addressed with improved input validation. This issue is fixed in macOS Ventura 13.4, macOS Big Sur 11.7.7, macOS Monterey 12.6.6. Processing a 3D model may result in disclosure of process memory",
"id": "GHSA-cggm-pvch-p5v5",
"modified": "2024-04-04T05:07:42Z",
"published": "2023-06-23T18:30:24Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-32382"
},
{
"type": "WEB",
"url": "https://support.apple.com/en-us/HT213758"
},
{
"type": "WEB",
"url": "https://support.apple.com/en-us/HT213759"
},
{
"type": "WEB",
"url": "https://support.apple.com/en-us/HT213760"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
"type": "CVSS_V3"
}
]
}
GHSA-CGPR-M9MX-94J6
Vulnerability from github – Published: 2024-05-01 03:30 – Updated: 2024-07-03 18:37
VLAI
Details
lunasvg v2.3.9 was discovered to contain a stack-buffer-underflow at lunasvg/source/layoutcontext.cpp.
Severity
7.5 (High)
{
"affected": [],
"aliases": [
"CVE-2024-33763"
],
"database_specific": {
"cwe_ids": [
"CWE-124",
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2024-05-01T03:15:07Z",
"severity": "HIGH"
},
"details": "lunasvg v2.3.9 was discovered to contain a stack-buffer-underflow at lunasvg/source/layoutcontext.cpp.",
"id": "GHSA-cgpr-m9mx-94j6",
"modified": "2024-07-03T18:37:57Z",
"published": "2024-05-01T03:30:30Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-33763"
},
{
"type": "WEB",
"url": "https://github.com/keepinggg/poc/tree/main/poc_of_lunasvg"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-CGQ8-932W-RH8W
Vulnerability from github – Published: 2024-06-05 21:31 – Updated: 2024-06-05 21:31
VLAI
Details
An issue was discovered in Samsung Mobile Processor Exynos 980, Exynos 850, Exynos 1280, Exynos 1380, and Exynos 1330. In the function slsi_send_action_frame_cert(), there is no input validation check on len coming from userspace, which can lead to a heap over-read.
Severity
6.0 (Medium)
{
"affected": [],
"aliases": [
"CVE-2024-27378"
],
"database_specific": {
"cwe_ids": [
"CWE-125",
"CWE-20"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2024-06-05T19:15:14Z",
"severity": "MODERATE"
},
"details": "An issue was discovered in Samsung Mobile Processor Exynos 980, Exynos 850, Exynos 1280, Exynos 1380, and Exynos 1330. In the function slsi_send_action_frame_cert(), there is no input validation check on len coming from userspace, which can lead to a heap over-read.",
"id": "GHSA-cgq8-932w-rh8w",
"modified": "2024-06-05T21:31:28Z",
"published": "2024-06-05T21:31:28Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-27378"
},
{
"type": "WEB",
"url": "https://semiconductor.samsung.com/support/quality-support/product-security-updates"
}
],
"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:H",
"type": "CVSS_V3"
}
]
}
GHSA-CGR8-F44R-J4R5
Vulnerability from github – Published: 2022-05-13 01:51 – Updated: 2022-05-13 01:51
VLAI
Details
A heap-based buffer over-read exists in the function d_expression_1 in cp-demangle.c in GNU libiberty, as distributed in GNU Binutils 2.31.1. A crafted input can cause segmentation faults, leading to denial-of-service, as demonstrated by c++filt.
Severity
6.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2018-20712"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2019-01-15T00:29:00Z",
"severity": "MODERATE"
},
"details": "A heap-based buffer over-read exists in the function d_expression_1 in cp-demangle.c in GNU libiberty, as distributed in GNU Binutils 2.31.1. A crafted input can cause segmentation faults, leading to denial-of-service, as demonstrated by c++filt.",
"id": "GHSA-cgr8-f44r-j4r5",
"modified": "2022-05-13T01:51:06Z",
"published": "2022-05-13T01:51:06Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2018-20712"
},
{
"type": "WEB",
"url": "https://gcc.gnu.org/bugzilla/show_bug.cgi?id=88629"
},
{
"type": "WEB",
"url": "https://sourceware.org/bugzilla/show_bug.cgi?id=24043"
},
{
"type": "WEB",
"url": "https://support.f5.com/csp/article/K38336243"
},
{
"type": "WEB",
"url": "http://www.securityfocus.com/bid/106563"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-CGRP-R5PH-95G9
Vulnerability from github – Published: 2022-02-19 00:01 – Updated: 2022-02-25 00:01
VLAI
Details
This vulnerability allows remote attackers to disclose sensitive information on affected installations of Sante DICOM Viewer Pro 11.8.7.0. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the parsing of GIF files. The issue results from the lack of proper validation of user-supplied data, which can result in a read past the end of an allocated buffer. An attacker can leverage this in conjunction with other vulnerabilities to execute arbitrary code in the context of the current process. Was ZDI-CAN-14972.
{
"affected": [],
"aliases": [
"CVE-2022-24055"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2022-02-18T20:15:00Z",
"severity": "MODERATE"
},
"details": "This vulnerability allows remote attackers to disclose sensitive information on affected installations of Sante DICOM Viewer Pro 11.8.7.0. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the parsing of GIF files. The issue results from the lack of proper validation of user-supplied data, which can result in a read past the end of an allocated buffer. An attacker can leverage this in conjunction with other vulnerabilities to execute arbitrary code in the context of the current process. Was ZDI-CAN-14972.",
"id": "GHSA-cgrp-r5ph-95g9",
"modified": "2022-02-25T00:01:14Z",
"published": "2022-02-19T00:01:01Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-24055"
},
{
"type": "WEB",
"url": "https://www.zerodayinitiative.com/advisories/ZDI-22-247"
}
],
"schema_version": "1.4.0",
"severity": []
}
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.