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.
11347 vulnerabilities reference this CWE, most recent first.
GHSA-G8WG-CJWC-XHHP
Vulnerability from github – Published: 2021-08-25 14:41 – Updated: 2024-11-13 21:15
VLAI
Summary
Heap OOB in nested `tf.map_fn` with `RaggedTensor`s
Details
Impact
It is possible to nest a tf.map_fn within another tf.map_fn call. However, if the input tensor is a RaggedTensor and there is no function signature provided, code assumes the output is a fully specified tensor and fills output buffer with uninitialized contents from the heap:
import tensorflow as tf
x = tf.ragged.constant([[1,2,3], [4,5], [6]])
t = tf.map_fn(lambda r: tf.map_fn(lambda y: r, r), x)
z = tf.ragged.constant([[[1,2,3],[1,2,3],[1,2,3]],[[4,5],[4,5]],[[6]]])
The t and z outputs should be identical, however this is not the case. The last row of t contains data from the heap which can be used to leak other memory information.
The bug lies in the conversion from a Variant tensor to a RaggedTensor. The implementation does not check that all inner shapes match and this results in the additional dimensions in the above example.
The same implementation can result in data loss, if input tensor is tweaked:
import tensorflow as tf
x = tf.ragged.constant([[1,2], [3,4,5], [6]])
t = tf.map_fn(lambda r: tf.map_fn(lambda y: r, r), x)
Here, the output tensor will only have 2 elements for each inner dimension.
Patches
We have patched the issue in GitHub commit 4e2565483d0ffcadc719bd44893fb7f609bb5f12.
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 Haris Sahovic.
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-2021-37679"
],
"database_specific": {
"cwe_ids": [
"CWE-125",
"CWE-681"
],
"github_reviewed": true,
"github_reviewed_at": "2021-08-24T16:17:59Z",
"nvd_published_at": "2021-08-12T23:15:00Z",
"severity": "HIGH"
},
"details": "### Impact\nIt is possible to nest a `tf.map_fn` within another `tf.map_fn` call. However, if the input tensor is a `RaggedTensor` and there is no function signature provided, code assumes the output is a fully specified tensor and fills output buffer with uninitialized contents from the heap:\n\n```python\nimport tensorflow as tf\nx = tf.ragged.constant([[1,2,3], [4,5], [6]])\nt = tf.map_fn(lambda r: tf.map_fn(lambda y: r, r), x)\nz = tf.ragged.constant([[[1,2,3],[1,2,3],[1,2,3]],[[4,5],[4,5]],[[6]]])\n```\n \nThe `t` and `z` outputs should be identical, however this is not the case. The last row of `t` contains data from the heap which can be used to leak other memory information.\n\nThe bug lies in the conversion from a `Variant` tensor to a `RaggedTensor`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/ragged_tensor_from_variant_op.cc#L177-L190) does not check that all inner shapes match and this results in the additional dimensions in the above example.\n\nThe same implementation can result in data loss, if input tensor is tweaked:\n\n```python\nimport tensorflow as tf\nx = tf.ragged.constant([[1,2], [3,4,5], [6]])\nt = tf.map_fn(lambda r: tf.map_fn(lambda y: r, r), x) \n```\n\nHere, the output tensor will only have 2 elements for each inner dimension.\n\n### Patches\nWe have patched the issue in GitHub commit [4e2565483d0ffcadc719bd44893fb7f609bb5f12](https://github.com/tensorflow/tensorflow/commit/4e2565483d0ffcadc719bd44893fb7f609bb5f12).\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 Haris Sahovic.",
"id": "GHSA-g8wg-cjwc-xhhp",
"modified": "2024-11-13T21:15:11Z",
"published": "2021-08-25T14:41:00Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-g8wg-cjwc-xhhp"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-37679"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/commit/4e2565483d0ffcadc719bd44893fb7f609bb5f12"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-592.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-790.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-301.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:H/A:N",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "Heap OOB in nested `tf.map_fn` with `RaggedTensor`s"
}
GHSA-G949-WPGM-GQ75
Vulnerability from github – Published: 2022-05-13 01:42 – Updated: 2022-05-13 01:42
VLAI
Details
The ICMPv6 parser in tcpdump before 4.9.2 has a buffer over-read in print-icmp6.c:icmp6_nodeinfo_print().
Severity
9.8 (Critical)
{
"affected": [],
"aliases": [
"CVE-2017-13041"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2017-09-14T06:29:00Z",
"severity": "CRITICAL"
},
"details": "The ICMPv6 parser in tcpdump before 4.9.2 has a buffer over-read in print-icmp6.c:icmp6_nodeinfo_print().",
"id": "GHSA-g949-wpgm-gq75",
"modified": "2022-05-13T01:42:57Z",
"published": "2022-05-13T01:42:57Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2017-13041"
},
{
"type": "WEB",
"url": "https://github.com/the-tcpdump-group/tcpdump/commit/f4b9e24c7384d882a7f434cc7413925bf871d63e"
},
{
"type": "WEB",
"url": "https://access.redhat.com/errata/RHEA-2018:0705"
},
{
"type": "WEB",
"url": "https://security.gentoo.org/glsa/201709-23"
},
{
"type": "WEB",
"url": "https://support.apple.com/HT208221"
},
{
"type": "WEB",
"url": "http://www.debian.org/security/2017/dsa-3971"
},
{
"type": "WEB",
"url": "http://www.securitytracker.com/id/1039307"
},
{
"type": "WEB",
"url": "http://www.tcpdump.org/tcpdump-changes.txt"
}
],
"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-G952-5578-5WVP
Vulnerability from github – Published: 2023-04-13 09:30 – Updated: 2024-04-04 03:26
VLAI
Details
Information disclosure due to buffer over-read while parsing DNS response packets in Modem.
Severity
7.5 (High)
{
"affected": [],
"aliases": [
"CVE-2022-33222"
],
"database_specific": {
"cwe_ids": [
"CWE-125",
"CWE-126"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2023-04-13T07:15:00Z",
"severity": "HIGH"
},
"details": "Information disclosure due to buffer over-read while parsing DNS response packets in Modem.",
"id": "GHSA-g952-5578-5wvp",
"modified": "2024-04-04T03:26:47Z",
"published": "2023-04-13T09:30:19Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-33222"
},
{
"type": "WEB",
"url": "https://www.qualcomm.com/company/product-security/bulletins/april-2023-bulletin"
}
],
"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-G954-X6PX-FJVV
Vulnerability from github – Published: 2025-04-08 18:34 – Updated: 2025-04-08 18:34
VLAI
Details
Animate versions 24.0.7, 23.0.10 and earlier are affected by an out-of-bounds read vulnerability that could lead to disclosure of sensitive memory. 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-2025-27202"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-04-08T18:15:55Z",
"severity": "MODERATE"
},
"details": "Animate versions 24.0.7, 23.0.10 and earlier are affected by an out-of-bounds read vulnerability that could lead to disclosure of sensitive memory. 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-g954-x6px-fjvv",
"modified": "2025-04-08T18:34:50Z",
"published": "2025-04-08T18:34:50Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-27202"
},
{
"type": "WEB",
"url": "https://helpx.adobe.com/security/products/animate/apsb25-31.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-G96R-M5M9-8HQG
Vulnerability from github – Published: 2024-04-09 18:30 – Updated: 2024-04-09 18:30
VLAI
Details
Windows Distributed File System (DFS) Information Disclosure Vulnerability
Severity
6.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2024-26226"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2024-04-09T17:15:42Z",
"severity": "MODERATE"
},
"details": "Windows Distributed File System (DFS) Information Disclosure Vulnerability",
"id": "GHSA-g96r-m5m9-8hqg",
"modified": "2024-04-09T18:30:25Z",
"published": "2024-04-09T18:30:25Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-26226"
},
{
"type": "WEB",
"url": "https://msrc.microsoft.com/update-guide/vulnerability/CVE-2024-26226"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
"type": "CVSS_V3"
}
]
}
GHSA-G98C-V7WV-8HQ9
Vulnerability from github – Published: 2025-01-14 18:32 – Updated: 2025-01-14 18:32
VLAI
Details
Windows Digital Media Elevation of Privilege Vulnerability
Severity
6.6 (Medium)
{
"affected": [],
"aliases": [
"CVE-2025-21341"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-01-14T18:15:59Z",
"severity": "MODERATE"
},
"details": "Windows Digital Media Elevation of Privilege Vulnerability",
"id": "GHSA-g98c-v7wv-8hq9",
"modified": "2025-01-14T18:32:05Z",
"published": "2025-01-14T18:32:05Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-21341"
},
{
"type": "WEB",
"url": "https://msrc.microsoft.com/update-guide/vulnerability/CVE-2025-21341"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:P/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-G98H-XVFP-4Q9X
Vulnerability from github – Published: 2022-05-24 22:00 – Updated: 2022-05-24 22:00
VLAI
Details
In Xpdf 4.01.01, a buffer over-read could be triggered in FoFiType1C::convertToType1 in fofi/FoFiType1C.cc when the index number is larger than the charset array bounds. It can, for example, be triggered by sending a crafted PDF document to the pdftops tool. It allows an attacker to use a crafted pdf file to cause Denial of Service or an information leak, or possibly have unspecified other impact.
{
"affected": [],
"aliases": [
"CVE-2019-12957"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2019-06-25T00:15:00Z",
"severity": "HIGH"
},
"details": "In Xpdf 4.01.01, a buffer over-read could be triggered in FoFiType1C::convertToType1 in fofi/FoFiType1C.cc when the index number is larger than the charset array bounds. It can, for example, be triggered by sending a crafted PDF document to the pdftops tool. It allows an attacker to use a crafted pdf file to cause Denial of Service or an information leak, or possibly have unspecified other impact.",
"id": "GHSA-g98h-xvfp-4q9x",
"modified": "2022-05-24T22:00:10Z",
"published": "2022-05-24T22:00:10Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2019-12957"
},
{
"type": "WEB",
"url": "https://forum.xpdfreader.com/viewtopic.php?f=3\u0026t=41813"
},
{
"type": "WEB",
"url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/DJJD7X3ES7ZHJUY2R3DAVCJPV23R64VK"
},
{
"type": "WEB",
"url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/FWEWFUVITPA3Y6F4A5SJSROKYT7PRH7Q"
},
{
"type": "WEB",
"url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/TNIJWRYTCLGV35WGIHYTMMOPEEOOTIPT"
}
],
"schema_version": "1.4.0",
"severity": []
}
GHSA-G994-6M39-Q8H3
Vulnerability from github – Published: 2022-02-19 00:01 – Updated: 2022-02-26 00:00
VLAI
Details
This vulnerability allows remote attackers to disclose sensitive information on affected installations of Bentley MicroStation CONNECT 10.16.0.80. 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 OBJ 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-15390.
{
"affected": [],
"aliases": [
"CVE-2021-46596"
],
"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 Bentley MicroStation CONNECT 10.16.0.80. 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 OBJ 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-15390.",
"id": "GHSA-g994-6m39-q8h3",
"modified": "2022-02-26T00:00:53Z",
"published": "2022-02-19T00:01:16Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-46596"
},
{
"type": "WEB",
"url": "https://www.bentley.com/en/common-vulnerability-exposure/BE-2021-0007"
},
{
"type": "WEB",
"url": "https://www.zerodayinitiative.com/advisories/ZDI-22-183"
}
],
"schema_version": "1.4.0",
"severity": []
}
GHSA-G995-WPVR-C8GV
Vulnerability from github – Published: 2023-03-29 21:30 – Updated: 2024-11-27 21:32
VLAI
Details
This vulnerability allows remote attackers to execute arbitrary code on affected installations of PDF-XChange Editor. 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 handling of Doc objects. By performing actions in JavaScript, an attacker can trigger a read past the end of an allocated object. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-17727.
Severity
7.8 (High)
{
"affected": [],
"aliases": [
"CVE-2022-37366"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2023-03-29T19:15:00Z",
"severity": "HIGH"
},
"details": "This vulnerability allows remote attackers to execute arbitrary code on affected installations of PDF-XChange Editor. 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 handling of Doc objects. By performing actions in JavaScript, an attacker can trigger a read past the end of an allocated object. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-17727.",
"id": "GHSA-g995-wpvr-c8gv",
"modified": "2024-11-27T21:32:41Z",
"published": "2023-03-29T21:30:20Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-37366"
},
{
"type": "WEB",
"url": "https://www.tracker-software.com/product/pdf-xchange-editor/history"
},
{
"type": "WEB",
"url": "https://www.zerodayinitiative.com/advisories/ZDI-22-1094"
}
],
"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-G998-4R58-RR8Q
Vulnerability from github – Published: 2024-12-03 18:31 – Updated: 2024-12-03 21:31
VLAI
Details
An unauthenticated attacker can perform an out of bounds heap read in the IQ Service (TCP port 9876). This vulnerability has been resolved in firmware version 2.800.0000000.8.R.20241111.
Severity
6.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2024-52545"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2024-12-03T18:15:15Z",
"severity": "MODERATE"
},
"details": "An unauthenticated attacker can perform an out of bounds heap read in the IQ Service (TCP port 9876). This vulnerability has been resolved in firmware version 2.800.0000000.8.R.20241111.",
"id": "GHSA-g998-4r58-rr8q",
"modified": "2024-12-03T21:31:22Z",
"published": "2024-12-03T18:31:04Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-52545"
},
{
"type": "WEB",
"url": "https://github.com/sfewer-r7/LorexExploit"
},
{
"type": "WEB",
"url": "https://www.rapid7.com/blog/post/2024/12/03/lorex-2k-indoor-wi-fi-security-camera-multiple-vulnerabilities-fixed"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:L",
"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.