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.
15630 vulnerabilities reference this CWE, most recent first.
GHSA-CJ7X-83XX-P9JQ
Vulnerability from github – Published: 2022-12-13 18:30 – Updated: 2022-12-15 18:30
VLAI
Details
Memory corruption in i2c buses due to improper input validation while reading address configuration from i2c driver in Snapdragon Mobile, Snapdragon Wearables
Severity
7.8 (High)
{
"affected": [],
"aliases": [
"CVE-2022-25697"
],
"database_specific": {
"cwe_ids": [
"CWE-20",
"CWE-787"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2022-12-13T16:15:00Z",
"severity": "HIGH"
},
"details": "Memory corruption in i2c buses due to improper input validation while reading address configuration from i2c driver in Snapdragon Mobile, Snapdragon Wearables",
"id": "GHSA-cj7x-83xx-p9jq",
"modified": "2022-12-15T18:30:24Z",
"published": "2022-12-13T18:30:27Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-25697"
},
{
"type": "WEB",
"url": "https://www.qualcomm.com/company/product-security/bulletins/december-2022-bulletin"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-CJ8X-R7CP-9CJG
Vulnerability from github – Published: 2023-03-27 06:30 – Updated: 2023-04-03 15:30
VLAI
Details
The MyLink infotainment system (build 2021.3.26) in General Motors Chevrolet Equinox 2021 vehicles allows attackers to cause a denial of service (temporary failure of Media Player functionality) via a crafted MP3 file.
Severity
6.8 (Medium)
{
"affected": [],
"aliases": [
"CVE-2023-28885"
],
"database_specific": {
"cwe_ids": [
"CWE-787"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2023-03-27T04:15:00Z",
"severity": "MODERATE"
},
"details": "The MyLink infotainment system (build 2021.3.26) in General Motors Chevrolet Equinox 2021 vehicles allows attackers to cause a denial of service (temporary failure of Media Player functionality) via a crafted MP3 file.",
"id": "GHSA-cj8x-r7cp-9cjg",
"modified": "2023-04-03T15:30:16Z",
"published": "2023-03-27T06:30:21Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-28885"
},
{
"type": "WEB",
"url": "https://github.com/zj3t/Automotive-vulnerabilities/tree/main/GM/Chevrolet_Equinox2021"
},
{
"type": "WEB",
"url": "https://github.com/zj3t/GM_Vulnerability"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:P/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-CJ93-Q2W3-FJXC
Vulnerability from github – Published: 2022-02-12 00:01 – Updated: 2025-11-03 21:30
VLAI
Details
Heap-based Buffer Overflow in Conda vim prior to 8.2.
Severity
7.8 (High)
{
"affected": [],
"aliases": [
"CVE-2022-0417"
],
"database_specific": {
"cwe_ids": [
"CWE-122",
"CWE-787"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2022-02-01T13:15:00Z",
"severity": "HIGH"
},
"details": "Heap-based Buffer Overflow in Conda vim prior to 8.2.",
"id": "GHSA-cj93-q2w3-fjxc",
"modified": "2025-11-03T21:30:37Z",
"published": "2022-02-12T00:01:19Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-0417"
},
{
"type": "WEB",
"url": "https://github.com/vim/vim/commit/652dee448618589de5528a9e9a36995803f5557a"
},
{
"type": "WEB",
"url": "https://huntr.dev/bounties/fc86bc8d-c866-4ade-8b7f-e49cec306d1a"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2022/06/msg00014.html"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2022/11/msg00009.html"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2025/03/msg00023.html"
},
{
"type": "WEB",
"url": "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/7ZLEHVP4LNAGER4ZDGUDS5V5YVQD6INF"
},
{
"type": "WEB",
"url": "https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/UFXFAILMLUIK4MBUEZO4HNBNKYZRJ5AP"
},
{
"type": "WEB",
"url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/7ZLEHVP4LNAGER4ZDGUDS5V5YVQD6INF"
},
{
"type": "WEB",
"url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/UFXFAILMLUIK4MBUEZO4HNBNKYZRJ5AP"
},
{
"type": "WEB",
"url": "https://security.gentoo.org/glsa/202208-32"
}
],
"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-CJC7-49V2-JP64
Vulnerability from github – Published: 2021-05-21 14:28 – Updated: 2024-11-13 16:19
VLAI
Summary
Incomplete validation in `SparseAdd`
Details
Impact
Incomplete validation in SparseAdd results in allowing attackers to exploit undefined behavior (dereferencing null pointers) as well as write outside of bounds of heap allocated data:
import tensorflow as tf
a_indices = tf.zeros([10, 97], dtype=tf.int64)
a_values = tf.zeros([10], dtype=tf.int64)
a_shape = tf.zeros([0], dtype=tf.int64)
b_indices = tf.zeros([0, 0], dtype=tf.int64)
b_values = tf.zeros([0], dtype=tf.int64)
b_shape = tf.zeros([0], dtype=tf.int64)
thresh = 0
tf.raw_ops.SparseAdd(a_indices=a_indices,
a_values=a_values,
a_shape=a_shape,
b_indices=b_indices,
b_values=b_values,
b_shape=b_shape,
thresh=thresh)
The implementation has a large set of validation for the two sparse tensor inputs (6 tensors in total), but does not validate that the tensors are not empty or that the second dimension of *_indices matches the size of corresponding *_shape. This allows attackers to send tensor triples that represent invalid sparse tensors to abuse code assumptions that are not protected by validation.
Patches
We have patched the issue in GitHub commit 6fd02f44810754ae7481838b6a67c5df7f909ca3 followed by GitHub commit 41727ff06111117bdf86b37db198217fd7a143cc.
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
5.3 (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"
}
],
"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-2021-29609"
],
"database_specific": {
"cwe_ids": [
"CWE-665",
"CWE-787"
],
"github_reviewed": true,
"github_reviewed_at": "2021-05-17T22:09:32Z",
"nvd_published_at": "2021-05-14T20:15:00Z",
"severity": "MODERATE"
},
"details": "### Impact\nIncomplete validation in `SparseAdd` results in allowing attackers to exploit undefined behavior (dereferencing null pointers) as well as write outside of bounds of heap allocated data:\n\n```python\nimport tensorflow as tf\n\na_indices = tf.zeros([10, 97], dtype=tf.int64)\na_values = tf.zeros([10], dtype=tf.int64)\na_shape = tf.zeros([0], dtype=tf.int64)\n\nb_indices = tf.zeros([0, 0], dtype=tf.int64)\nb_values = tf.zeros([0], dtype=tf.int64)\nb_shape = tf.zeros([0], dtype=tf.int64)\n \nthresh = 0\n\ntf.raw_ops.SparseAdd(a_indices=a_indices,\n a_values=a_values,\n a_shape=a_shape,\n b_indices=b_indices,\n b_values=b_values,\n b_shape=b_shape,\n thresh=thresh)\n```\n\nThe [implementation](https://github.com/tensorflow/tensorflow/blob/656e7673b14acd7835dc778867f84916c6d1cac2/tensorflow/core/kernels/sparse_add_op.cc) has a large set of validation for the two sparse tensor inputs (6 tensors in total), but does not validate that the tensors are not empty or that the second dimension of `*_indices` matches the size of corresponding `*_shape`. This allows attackers to send tensor triples that represent invalid sparse tensors to abuse code assumptions that are not protected by validation.\n\n### Patches\nWe have patched the issue in GitHub commit [6fd02f44810754ae7481838b6a67c5df7f909ca3](https://github.com/tensorflow/tensorflow/commit/6fd02f44810754ae7481838b6a67c5df7f909ca3) followed by GitHub commit [41727ff06111117bdf86b37db198217fd7a143cc](https://github.com/tensorflow/tensorflow/commit/41727ff06111117bdf86b37db198217fd7a143cc).\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-cjc7-49v2-jp64",
"modified": "2024-11-13T16:19:57Z",
"published": "2021-05-21T14:28:29Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cjc7-49v2-jp64"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-29609"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/commit/41727ff06111117bdf86b37db198217fd7a143cc"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/commit/6fd02f44810754ae7481838b6a67c5df7f909ca3"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-537.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-735.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-246.yaml"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:L/A:H",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:N/VC:N/VI:L/VA:H/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "Incomplete validation in `SparseAdd`"
}
GHSA-CJC8-2CQ5-7JQ7
Vulnerability from github – Published: 2022-05-24 16:46 – Updated: 2025-10-22 00:31
VLAI
Details
A heap buffer overflow in Fortinet FortiOS all versions below 6.0.5 in the SSL VPN web portal may cause the SSL VPN web service termination for logged in users due to a failure to properly handle javascript href data when proxying webpages.
Severity
6.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2018-13383"
],
"database_specific": {
"cwe_ids": [
"CWE-119",
"CWE-787"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2019-05-29T18:29:00Z",
"severity": "MODERATE"
},
"details": "A heap buffer overflow in Fortinet FortiOS all versions below 6.0.5 in the SSL VPN web portal may cause the SSL VPN web service termination for logged in users due to a failure to properly handle javascript href data when proxying webpages.",
"id": "GHSA-cjc8-2cq5-7jq7",
"modified": "2025-10-22T00:31:41Z",
"published": "2022-05-24T16:46:48Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2018-13383"
},
{
"type": "WEB",
"url": "https://devco.re/blog/2019/08/09/attacking-ssl-vpn-part-2-breaking-the-Fortigate-ssl-vpn"
},
{
"type": "WEB",
"url": "https://fortiguard.com/advisory/FG-IR-18-388"
},
{
"type": "WEB",
"url": "https://fortiguard.com/advisory/FG-IR-20-229"
},
{
"type": "WEB",
"url": "https://i.blackhat.com/USA-19/Wednesday/us-19-Tsai-Infiltrating-Corporate-Intranet-Like-NSA.pdf"
},
{
"type": "WEB",
"url": "https://www.cisa.gov/known-exploited-vulnerabilities-catalog?field_cve=CVE-2018-13383"
},
{
"type": "WEB",
"url": "http://www.securityfocus.com/bid/108539"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-CJCX-2C8Q-4C5X
Vulnerability from github – Published: 2021-12-21 00:00 – Updated: 2021-12-21 00:00
VLAI
Details
Adobe Premiere Rush version 1.5.16 (and earlier) is affected by a memory corruption vulnerability due to insecure handling of a malicious PNG file, potentially resulting in arbitrary code execution in the context of the current user. User interaction is required to exploit this vulnerability.
{
"affected": [],
"aliases": [
"CVE-2021-43022"
],
"database_specific": {
"cwe_ids": [
"CWE-787"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2021-12-20T21:15:00Z",
"severity": "HIGH"
},
"details": "Adobe Premiere Rush version 1.5.16 (and earlier) is affected by a memory corruption vulnerability due to insecure handling of a malicious PNG file, potentially resulting in arbitrary code execution in the context of the current user. User interaction is required to exploit this vulnerability.",
"id": "GHSA-cjcx-2c8q-4c5x",
"modified": "2021-12-21T00:00:27Z",
"published": "2021-12-21T00:00:27Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-43022"
},
{
"type": "WEB",
"url": "https://helpx.adobe.com/security/products/premiere_rush/apsb21-101.html"
}
],
"schema_version": "1.4.0",
"severity": []
}
GHSA-CJGW-2HCV-HH3W
Vulnerability from github – Published: 2022-05-24 17:14 – Updated: 2022-05-24 17:14
VLAI
Details
Uninitialized use in WebRTC in Google Chrome prior to 81.0.4044.92 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page.
Severity
6.3 (Medium)
{
"affected": [],
"aliases": [
"CVE-2020-6444"
],
"database_specific": {
"cwe_ids": [
"CWE-787",
"CWE-908"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2020-04-13T18:15:00Z",
"severity": "MODERATE"
},
"details": "Uninitialized use in WebRTC in Google Chrome prior to 81.0.4044.92 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page.",
"id": "GHSA-cjgw-2hcv-hh3w",
"modified": "2022-05-24T17:14:07Z",
"published": "2022-05-24T17:14:07Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2020-6444"
},
{
"type": "WEB",
"url": "https://chromereleases.googleblog.com/2020/04/stable-channel-update-for-desktop_7.html"
},
{
"type": "WEB",
"url": "https://crbug.com/922882"
},
{
"type": "WEB",
"url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/6XWIVVYIQU67QR2LHNGGZBS4FZOW2RQO"
},
{
"type": "WEB",
"url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/HFVP775RPRDVY5FUCN7ABH5AE74TQFDD"
},
{
"type": "WEB",
"url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/XMXPDHEEACPD3BCMTC26SCCYB2ZMUOAO"
},
{
"type": "WEB",
"url": "https://www.debian.org/security/2020/dsa-4714"
},
{
"type": "WEB",
"url": "http://lists.opensuse.org/opensuse-security-announce/2020-04/msg00024.html"
},
{
"type": "WEB",
"url": "http://lists.opensuse.org/opensuse-security-announce/2020-04/msg00031.html"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:L",
"type": "CVSS_V3"
}
]
}
GHSA-CJJQ-CWPW-FX4Q
Vulnerability from github – Published: 2024-08-13 18:31 – Updated: 2024-08-13 18:31
VLAI
Details
Improper bounds checking in APCB firmware may allow an attacker to perform an out of bounds write, corrupting the APCB entry, potentially leading to arbitrary code execution.
Severity
7.5 (High)
{
"affected": [],
"aliases": [
"CVE-2022-23815"
],
"database_specific": {
"cwe_ids": [
"CWE-787"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2024-08-13T17:15:18Z",
"severity": "HIGH"
},
"details": "Improper bounds checking in APCB firmware may allow an attacker to perform an out of bounds write, corrupting the APCB entry, potentially leading to arbitrary code execution.",
"id": "GHSA-cjjq-cwpw-fx4q",
"modified": "2024-08-13T18:31:15Z",
"published": "2024-08-13T18:31:15Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23815"
},
{
"type": "WEB",
"url": "https://www.amd.com/en/resources/product-security/bulletin/amd-sb-4004.html"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:H/PR:H/UI:N/S:C/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-CJJX-JW4J-6587
Vulnerability from github – Published: 2023-10-25 18:32 – Updated: 2024-04-04 08:56
VLAI
Details
TOTOLINK X2000R Gh v1.0.0-B20230221.0948.web was discovered to contain a stack overflow via the function formMapDel.
Severity
9.8 (Critical)
{
"affected": [],
"aliases": [
"CVE-2023-46554"
],
"database_specific": {
"cwe_ids": [
"CWE-787"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2023-10-25T18:17:39Z",
"severity": "CRITICAL"
},
"details": "TOTOLINK X2000R Gh v1.0.0-B20230221.0948.web was discovered to contain a stack overflow via the function formMapDel.",
"id": "GHSA-cjjx-jw4j-6587",
"modified": "2024-04-04T08:56:21Z",
"published": "2023-10-25T18:32:25Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-46554"
},
{
"type": "WEB",
"url": "https://github.com/XYIYM/Digging/blob/main/TOTOLINK/X2000R/20/1.md"
},
{
"type": "WEB",
"url": "https://totolink.cn/home/menu/detail.html?menu_listtpl=download\u0026id=85\u0026ids=36"
}
],
"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-CJMR-R6GH-G953
Vulnerability from github – Published: 2022-06-16 00:00 – Updated: 2022-06-26 00:00
VLAI
Details
Adobe Bridge version 12.0.1 (and earlier versions) is affected by an out-of-bounds write 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-2022-28844"
],
"database_specific": {
"cwe_ids": [
"CWE-787"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2022-06-15T20:15:00Z",
"severity": "HIGH"
},
"details": "Adobe Bridge version 12.0.1 (and earlier versions) is affected by an out-of-bounds write 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-cjmr-r6gh-g953",
"modified": "2022-06-26T00:00:20Z",
"published": "2022-06-16T00:00:20Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-28844"
},
{
"type": "WEB",
"url": "https://helpx.adobe.com/security/products/bridge/apsb22-25.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"
}
]
}
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.