Common Weakness Enumeration
CWE-787
Allowed-with-ReviewOut-of-bounds Write
Abstraction: Base · Status: Draft
The product writes data past the end, or before the beginning, of the intended buffer.
15108 vulnerabilities reference this CWE, most recent first.
GHSA-WHJQ-P746-P5QJ
Vulnerability from github – Published: 2022-05-17 02:41 – Updated: 2022-05-17 02:41
VLAI
Details
Document Liberation Project libstaroffice before 2017-04-07 has an out-of-bounds write caused by a stack-based buffer overflow related to the DatabaseName::read function in lib/StarWriterStruct.cxx.
Severity
9.8 (Critical)
{
"affected": [],
"aliases": [
"CVE-2017-9432"
],
"database_specific": {
"cwe_ids": [
"CWE-787"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2017-06-05T03:29:00Z",
"severity": "CRITICAL"
},
"details": "Document Liberation Project libstaroffice before 2017-04-07 has an out-of-bounds write caused by a stack-based buffer overflow related to the DatabaseName::read function in lib/StarWriterStruct.cxx.",
"id": "GHSA-whjq-p746-p5qj",
"modified": "2022-05-17T02:41:55Z",
"published": "2022-05-17T02:41:55Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2017-9432"
},
{
"type": "WEB",
"url": "https://github.com/fosnola/libstaroffice/commit/2d6253c7a692a3d92785dd990fce7256ea05e794"
},
{
"type": "WEB",
"url": "https://bugs.chromium.org/p/oss-fuzz/issues/detail?id=1029"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-WHJR-4V2F-WJP4
Vulnerability from github – Published: 2023-06-26 00:30 – Updated: 2024-01-16 15:30
VLAI
Details
The OCB feature in libnettle in Nettle 3.9 before 3.9.1 allows memory corruption.
Severity
9.8 (Critical)
{
"affected": [],
"aliases": [
"CVE-2023-36660"
],
"database_specific": {
"cwe_ids": [
"CWE-787"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2023-06-25T22:15:21Z",
"severity": "CRITICAL"
},
"details": "The OCB feature in libnettle in Nettle 3.9 before 3.9.1 allows memory corruption.",
"id": "GHSA-whjr-4v2f-wjp4",
"modified": "2024-01-16T15:30:26Z",
"published": "2023-06-26T00:30:21Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-36660"
},
{
"type": "WEB",
"url": "https://bugzilla.suse.com/show_bug.cgi?id=1212112"
},
{
"type": "WEB",
"url": "https://git.lysator.liu.se/nettle/nettle/-/commit/867a4548b95705291a3afdd66d76e7f17ba2618f"
},
{
"type": "WEB",
"url": "https://git.lysator.liu.se/nettle/nettle/-/compare/nettle_3.9_release_20230514...nettle_3.9.1_release_20230601"
},
{
"type": "WEB",
"url": "https://security.gentoo.org/glsa/202401-24"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-WHQC-PRWR-5MVR
Vulnerability from github – Published: 2022-05-24 19:19 – Updated: 2022-05-24 19:19
VLAI
Details
Mozilla developers reported memory safety bugs present in Thunderbird 78.13.0. Some of these bugs showed evidence of memory corruption and we presume that with enough effort some of these could have been exploited to run arbitrary code. This vulnerability affects Thunderbird < 91.1 and Firefox ESR < 91.1.
Severity
8.8 (High)
{
"affected": [],
"aliases": [
"CVE-2021-38495"
],
"database_specific": {
"cwe_ids": [
"CWE-119",
"CWE-787"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2021-11-03T01:15:00Z",
"severity": "HIGH"
},
"details": "Mozilla developers reported memory safety bugs present in Thunderbird 78.13.0. Some of these bugs showed evidence of memory corruption and we presume that with enough effort some of these could have been exploited to run arbitrary code. This vulnerability affects Thunderbird \u003c 91.1 and Firefox ESR \u003c 91.1.",
"id": "GHSA-whqc-prwr-5mvr",
"modified": "2022-05-24T19:19:37Z",
"published": "2022-05-24T19:19:37Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-38495"
},
{
"type": "WEB",
"url": "https://bugzilla.mozilla.org/buglist.cgi?bug_id=1723391%2C1723920%2C1724101%2C1724107"
},
{
"type": "WEB",
"url": "https://security.gentoo.org/glsa/202202-03"
},
{
"type": "WEB",
"url": "https://security.gentoo.org/glsa/202208-14"
},
{
"type": "WEB",
"url": "https://www.mozilla.org/security/advisories/mfsa2021-40"
},
{
"type": "WEB",
"url": "https://www.mozilla.org/security/advisories/mfsa2021-41"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-WHQW-J8VC-C3JQ
Vulnerability from github – Published: 2023-12-12 03:31 – Updated: 2025-11-04 21:30
VLAI
Details
Multiple memory corruption issues were addressed with improved input validation. This issue is fixed in macOS Sonoma 14.2. Processing a maliciously crafted file may lead to unexpected app termination or arbitrary code execution.
Severity
7.8 (High)
{
"affected": [],
"aliases": [
"CVE-2023-42911"
],
"database_specific": {
"cwe_ids": [
"CWE-787"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2023-12-12T01:15:12Z",
"severity": "HIGH"
},
"details": "Multiple memory corruption issues were addressed with improved input validation. This issue is fixed in macOS Sonoma 14.2. Processing a maliciously crafted file may lead to unexpected app termination or arbitrary code execution.",
"id": "GHSA-whqw-j8vc-c3jq",
"modified": "2025-11-04T21:30:51Z",
"published": "2023-12-12T03:31:44Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-42911"
},
{
"type": "WEB",
"url": "https://support.apple.com/en-us/HT214036"
},
{
"type": "WEB",
"url": "https://support.apple.com/kb/HT214036"
},
{
"type": "WEB",
"url": "http://seclists.org/fulldisclosure/2023/Dec/9"
}
],
"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-WHQX-3XC7-QR24
Vulnerability from github – Published: 2022-05-24 16:54 – Updated: 2022-05-24 16:54
VLAI
Details
Adobe Photoshop CC versions 19.1.8 and earlier and 20.0.5 and earlier have an out of bound write vulnerability. Successful exploitation could lead to arbitrary code execution.
{
"affected": [],
"aliases": [
"CVE-2019-7979"
],
"database_specific": {
"cwe_ids": [
"CWE-787"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2019-08-26T19:15:00Z",
"severity": "HIGH"
},
"details": "Adobe Photoshop CC versions 19.1.8 and earlier and 20.0.5 and earlier have an out of bound write vulnerability. Successful exploitation could lead to arbitrary code execution.",
"id": "GHSA-whqx-3xc7-qr24",
"modified": "2022-05-24T16:54:49Z",
"published": "2022-05-24T16:54:49Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2019-7979"
},
{
"type": "WEB",
"url": "https://helpx.adobe.com/security/products/photoshop/apsb19-44.html"
}
],
"schema_version": "1.4.0",
"severity": []
}
GHSA-WHR9-VFH2-7HM6
Vulnerability from github – Published: 2021-05-21 14:25 – Updated: 2024-10-31 21:04
VLAI
Summary
Memory corruption in `DrawBoundingBoxesV2`
Details
Impact
The implementation of tf.raw_ops.MaxPoolGradWithArgmax can cause reads outside of bounds of heap allocated data if attacker supplies specially crafted inputs:
import tensorflow as tf
images = tf.fill([10, 96, 0, 1], 0.)
boxes = tf.fill([10, 53, 0], 0.)
colors = tf.fill([0, 1], 0.)
tf.raw_ops.DrawBoundingBoxesV2(images=images, boxes=boxes, colors=colors)
The implementation assumes that the last element of boxes input is 4, as required by the op. Since this is not checked attackers passing values less than 4 can write outside of bounds of heap allocated objects and cause memory corruption:
const auto tboxes = boxes.tensor<T, 3>();
for (int64 bb = 0; bb < num_boxes; ++bb) {
...
const int64 min_box_row = static_cast<float>(tboxes(b, bb, 0)) * (height - 1);
const int64 max_box_row = static_cast<float>(tboxes(b, bb, 2)) * (height - 1);
const int64 min_box_col = static_cast<float>(tboxes(b, bb, 1)) * (width - 1);
const int64 max_box_col = static_cast<float>(tboxes(b, bb, 3)) * (width - 1);
...
}
If the last dimension in boxes is less than 4, accesses similar to tboxes(b, bb, 3) will access data outside of bounds. Further during code execution there are also writes to these indices.
Patches
We have patched the issue in GitHub commit 79865b542f9ffdc9caeb255631f7c56f1d4b6517.
The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit 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
{
"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"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "2.3.0"
},
{
"fixed": "2.3.3"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "2.4.0"
},
{
"fixed": "2.4.2"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-cpu"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.1.4"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-cpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.2.0"
},
{
"fixed": "2.2.3"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-cpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.3.0"
},
{
"fixed": "2.3.3"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-cpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.4.0"
},
{
"fixed": "2.4.2"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"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-2021-29571"
],
"database_specific": {
"cwe_ids": [
"CWE-787"
],
"github_reviewed": true,
"github_reviewed_at": "2021-05-18T18:52:27Z",
"nvd_published_at": "2021-05-14T20:15:00Z",
"severity": "LOW"
},
"details": "### Impact\nThe implementation of `tf.raw_ops.MaxPoolGradWithArgmax` can cause reads outside of bounds of heap allocated data if attacker supplies specially crafted inputs:\n\n```python\nimport tensorflow as tf\n\nimages = tf.fill([10, 96, 0, 1], 0.)\nboxes = tf.fill([10, 53, 0], 0.)\ncolors = tf.fill([0, 1], 0.)\n\ntf.raw_ops.DrawBoundingBoxesV2(images=images, boxes=boxes, colors=colors)\n```\n\nThe [implementation](https://github.com/tensorflow/tensorflow/blob/31bd5026304677faa8a0b77602c6154171b9aec1/tensorflow/core/kernels/image/draw_bounding_box_op.cc#L116-L130) assumes that the last element of `boxes` input is 4, as required by [the op](https://www.tensorflow.org/api_docs/python/tf/raw_ops/DrawBoundingBoxesV2). Since this is not checked attackers passing values less than 4 can write outside of bounds of heap allocated objects and cause memory corruption:\n\n```cc \nconst auto tboxes = boxes.tensor\u003cT, 3\u003e();\nfor (int64 bb = 0; bb \u003c num_boxes; ++bb) {\n ...\n const int64 min_box_row = static_cast\u003cfloat\u003e(tboxes(b, bb, 0)) * (height - 1);\n const int64 max_box_row = static_cast\u003cfloat\u003e(tboxes(b, bb, 2)) * (height - 1);\n const int64 min_box_col = static_cast\u003cfloat\u003e(tboxes(b, bb, 1)) * (width - 1);\n const int64 max_box_col = static_cast\u003cfloat\u003e(tboxes(b, bb, 3)) * (width - 1);\n ...\n}\n``` \n\nIf the last dimension in `boxes` is less than 4, accesses similar to `tboxes(b, bb, 3)` will access data outside of bounds. Further during code execution there are also writes to these indices.\n\n### Patches\nWe have patched the issue in GitHub commit [79865b542f9ffdc9caeb255631f7c56f1d4b6517](https://github.com/tensorflow/tensorflow/commit/79865b542f9ffdc9caeb255631f7c56f1d4b6517).\n\nThe fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit 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-whr9-vfh2-7hm6",
"modified": "2024-10-31T21:04:39Z",
"published": "2021-05-21T14:25:28Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-whr9-vfh2-7hm6"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-29571"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/commit/79865b542f9ffdc9caeb255631f7c56f1d4b6517"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-499.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-697.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-208.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:L/I:L/A:L",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "Memory corruption in `DrawBoundingBoxesV2`"
}
GHSA-WHRQ-J6J3-QG32
Vulnerability from github – Published: 2024-12-11 00:31 – Updated: 2024-12-11 00:31
VLAI
Details
Premiere Pro versions 25.0, 24.6.3 and earlier are affected by a Heap-based Buffer Overflow vulnerability that could result in arbitrary code execution in the context of the current user. Exploitation of this issue requires user interaction in that a victim must open a malicious file.
Severity
7.8 (High)
{
"affected": [],
"aliases": [
"CVE-2024-53956"
],
"database_specific": {
"cwe_ids": [
"CWE-122",
"CWE-787"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2024-12-10T22:15:25Z",
"severity": "HIGH"
},
"details": "Premiere Pro versions 25.0, 24.6.3 and earlier are affected by a Heap-based Buffer Overflow vulnerability that could result in arbitrary code execution in the context of the current user. Exploitation of this issue requires user interaction in that a victim must open a malicious file.",
"id": "GHSA-whrq-j6j3-qg32",
"modified": "2024-12-11T00:31:27Z",
"published": "2024-12-11T00:31:27Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-53956"
},
{
"type": "WEB",
"url": "https://helpx.adobe.com/security/products/premiere_pro/apsb24-104.html"
}
],
"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-WHV5-W93H-96XH
Vulnerability from github – Published: 2022-05-24 17:09 – Updated: 2022-05-24 17:09
VLAI
Details
Multiple memory corruption issues were addressed with improved memory handling. This issue is fixed in iOS 13.3.1 and iPadOS 13.3.1, tvOS 13.3.1, Safari 13.0.5, iTunes for Windows 12.10.4, iCloud for Windows 11.0, iCloud for Windows 7.17. Processing maliciously crafted web content may lead to arbitrary code execution.
{
"affected": [],
"aliases": [
"CVE-2020-3868"
],
"database_specific": {
"cwe_ids": [
"CWE-119",
"CWE-787"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2020-02-27T21:15:00Z",
"severity": "HIGH"
},
"details": "Multiple memory corruption issues were addressed with improved memory handling. This issue is fixed in iOS 13.3.1 and iPadOS 13.3.1, tvOS 13.3.1, Safari 13.0.5, iTunes for Windows 12.10.4, iCloud for Windows 11.0, iCloud for Windows 7.17. Processing maliciously crafted web content may lead to arbitrary code execution.",
"id": "GHSA-whv5-w93h-96xh",
"modified": "2022-05-24T17:09:49Z",
"published": "2022-05-24T17:09:49Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2020-3868"
},
{
"type": "WEB",
"url": "https://security.gentoo.org/glsa/202003-22"
},
{
"type": "WEB",
"url": "https://support.apple.com/HT210920"
},
{
"type": "WEB",
"url": "https://support.apple.com/HT210947"
},
{
"type": "WEB",
"url": "https://support.apple.com/HT210948"
},
{
"type": "WEB",
"url": "http://lists.opensuse.org/opensuse-security-announce/2020-03/msg00004.html"
}
],
"schema_version": "1.4.0",
"severity": []
}
GHSA-WHW7-86FG-MJ85
Vulnerability from github – Published: 2022-08-02 00:00 – Updated: 2022-08-06 00:00
VLAI
Details
In httpclient, there is a possible out of bounds write due to uninitialized data. This could lead to remote escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: WSAP00103831; Issue ID: WSAP00103831.
Severity
9.8 (Critical)
{
"affected": [],
"aliases": [
"CVE-2022-26437"
],
"database_specific": {
"cwe_ids": [
"CWE-787"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2022-08-01T14:15:00Z",
"severity": "CRITICAL"
},
"details": "In httpclient, there is a possible out of bounds write due to uninitialized data. This could lead to remote escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: WSAP00103831; Issue ID: WSAP00103831.",
"id": "GHSA-whw7-86fg-mj85",
"modified": "2022-08-06T00:00:53Z",
"published": "2022-08-02T00:00:26Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-26437"
},
{
"type": "WEB",
"url": "https://corp.mediatek.com/product-security-bulletin/August-2022"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-WHW9-3VM4-Q2GQ
Vulnerability from github – Published: 2023-04-22 03:30 – Updated: 2024-04-04 03:38
VLAI
Details
NVIDIA GPU Display Driver for Windows and Linux contains a vulnerability in the kernel mode layer handler, where an out-of-bounds write can lead to denial of service and data tampering.
Severity
6.1 (Medium)
{
"affected": [],
"aliases": [
"CVE-2023-0199"
],
"database_specific": {
"cwe_ids": [
"CWE-787"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2023-04-22T03:15:08Z",
"severity": "MODERATE"
},
"details": "NVIDIA GPU Display Driver for Windows and Linux contains a vulnerability in the kernel mode layer handler, where an out-of-bounds write can lead to denial of service and data tampering.",
"id": "GHSA-whw9-3vm4-q2gq",
"modified": "2024-04-04T03:38:23Z",
"published": "2023-04-22T03:30:18Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-0199"
},
{
"type": "WEB",
"url": "https://nvidia.custhelp.com/app/answers/detail/a_id/5452"
},
{
"type": "WEB",
"url": "https://security.gentoo.org/glsa/202310-02"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:H",
"type": "CVSS_V3"
}
]
}
Mitigation MIT-3
Requirements
Strategy: Language Selection
- Use a language that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid.
- For example, many languages that perform their own memory management, such as Java and Perl, are not subject to buffer overflows. Other languages, such as Ada and C#, typically provide overflow protection, but the protection can be disabled by the programmer.
- Be wary that a language's interface to native code may still be subject to overflows, even if the language itself is theoretically safe.
Mitigation MIT-4.1
Architecture and Design
Strategy: Libraries or Frameworks
- Use a vetted library or framework that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid.
- Examples include the Safe C String Library (SafeStr) by Messier and Viega [REF-57], and the Strsafe.h library from Microsoft [REF-56]. These libraries provide safer versions of overflow-prone string-handling functions.
Mitigation MIT-10
Operation
Build and Compilation
Strategy: Environment Hardening
- Use automatic buffer overflow detection mechanisms that are offered by certain compilers or compiler extensions. Examples include: the Microsoft Visual Studio /GS flag, Fedora/Red Hat FORTIFY_SOURCE GCC flag, StackGuard, and ProPolice, which provide various mechanisms including canary-based detection and range/index checking.
- D3-SFCV (Stack Frame Canary Validation) from D3FEND [REF-1334] discusses canary-based detection in detail.
Mitigation MIT-9
Implementation
- Consider adhering to the following rules when allocating and managing an application's memory:
- Double check that the buffer is as large as specified.
- When using functions that accept a number of bytes to copy, such as strncpy(), be aware that if the destination buffer size is equal to the source buffer size, it may not NULL-terminate the string.
- Check buffer boundaries if accessing the buffer in a loop and make sure there is no danger of writing past the allocated space.
- If necessary, truncate all input strings to a reasonable length before passing them to the copy and concatenation functions.
Mitigation MIT-11
Operation
Build and Compilation
Strategy: Environment Hardening
- Run or compile the software using features or extensions that randomly arrange the positions of a program's executable and libraries in memory. Because this makes the addresses unpredictable, it can prevent an attacker from reliably jumping to exploitable code.
- Examples include Address Space Layout Randomization (ASLR) [REF-58] [REF-60] and Position-Independent Executables (PIE) [REF-64]. Imported modules may be similarly realigned if their default memory addresses conflict with other modules, in a process known as "rebasing" (for Windows) and "prelinking" (for Linux) [REF-1332] using randomly generated addresses. ASLR for libraries cannot be used in conjunction with prelink since it would require relocating the libraries at run-time, defeating the whole purpose of prelinking.
- For more information on these techniques see D3-SAOR (Segment Address Offset Randomization) from D3FEND [REF-1335].
Mitigation MIT-12
Operation
Strategy: Environment Hardening
- Use a CPU and operating system that offers Data Execution Protection (using hardware NX or XD bits) or the equivalent techniques that simulate this feature in software, such as PaX [REF-60] [REF-61]. These techniques ensure that any instruction executed is exclusively at a memory address that is part of the code segment.
- For more information on these techniques see D3-PSEP (Process Segment Execution Prevention) from D3FEND [REF-1336].
Mitigation MIT-13
Implementation
Replace unbounded copy functions with analogous functions that support length arguments, such as strcpy with strncpy. Create these if they are not available.
No CAPEC attack patterns related to this CWE.