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.
11719 vulnerabilities reference this CWE, most recent first.
GHSA-49R4-JVJJ-Q7X6
Vulnerability from github – Published: 2025-10-04 18:31 – Updated: 2026-01-27 18:32
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
bpf: Propagate error from htab_lock_bucket() to userspace
In __htab_map_lookup_and_delete_batch() if htab_lock_bucket() returns -EBUSY, it will go to next bucket. Going to next bucket may not only skip the elements in current bucket silently, but also incur out-of-bound memory access or expose kernel memory to userspace if current bucket_cnt is greater than bucket_size or zero.
Fixing it by stopping batch operation and returning -EBUSY when htab_lock_bucket() fails, and the application can retry or skip the busy batch as needed.
Severity
7.1 (High)
{
"affected": [],
"aliases": [
"CVE-2022-50490"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-10-04T16:15:45Z",
"severity": "HIGH"
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nbpf: Propagate error from htab_lock_bucket() to userspace\n\nIn __htab_map_lookup_and_delete_batch() if htab_lock_bucket() returns\n-EBUSY, it will go to next bucket. Going to next bucket may not only\nskip the elements in current bucket silently, but also incur\nout-of-bound memory access or expose kernel memory to userspace if\ncurrent bucket_cnt is greater than bucket_size or zero.\n\nFixing it by stopping batch operation and returning -EBUSY when\nhtab_lock_bucket() fails, and the application can retry or skip the busy\nbatch as needed.",
"id": "GHSA-49r4-jvjj-q7x6",
"modified": "2026-01-27T18:32:06Z",
"published": "2025-10-04T18:31:14Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-50490"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/0e13425104903970a5ede853082d3bbb4edec6f3"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/4f1f39a8f1ce1b24fee6852d7dcd704ce7c4334d"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/66a7a92e4d0d091e79148a4c6ec15d1da65f4280"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/6bfee6eb3d6b96ae730a542909dd22b5f9f50d58"
}
],
"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-49RC-R9GQ-P7QQ
Vulnerability from github – Published: 2024-10-08 18:33 – Updated: 2024-10-08 18:33
VLAI
Details
Windows Mobile Broadband Driver Denial of Service Vulnerability
Severity
6.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2024-43558"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2024-10-08T18:15:22Z",
"severity": "MODERATE"
},
"details": "Windows Mobile Broadband Driver Denial of Service Vulnerability",
"id": "GHSA-49rc-r9gq-p7qq",
"modified": "2024-10-08T18:33:16Z",
"published": "2024-10-08T18:33:16Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-43558"
},
{
"type": "WEB",
"url": "https://msrc.microsoft.com/update-guide/vulnerability/CVE-2024-43558"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-49RX-X2RW-PC6F
Vulnerability from github – Published: 2021-11-10 19:04 – Updated: 2024-11-13 21:54
VLAI
Summary
Heap OOB read in all `tf.raw_ops.QuantizeAndDequantizeV*` ops
Details
Impact
The shape inference functions for the QuantizeAndDequantizeV* operations can trigger a read outside of bounds of heap allocated array as illustrated in the following sets of PoCs:
import tensorflow as tf
@tf.function
def test():
data=tf.raw_ops.QuantizeAndDequantizeV4Grad(
gradients=[1.0,1.0],
input=[1.0,1.0],
input_min=[1.0,10.0],
input_max=[1.0,10.0],
axis=-100)
return data
test()
import tensorflow as tf
@tf.function
def test():
data=tf.raw_ops.QuantizeAndDequantizeV4(
input=[1.0,1.0],
input_min=[1.0,10.0],
input_max=[1.0,10.0],
signed_input=False,
num_bits=10,
range_given=False,
round_mode='HALF_TO_EVEN',
narrow_range=False,
axis=-100)
return data
test()
import tensorflow as tf
@tf.function
def test():
data=tf.raw_ops.QuantizeAndDequantizeV3(
input=[1.0,1.0],
input_min=[1.0,10.0],
input_max=[1.0,10.0],
signed_input=False,
num_bits=10,
range_given=False,
narrow_range=False,
axis=-100)
return data
test()
import tensorflow as tf
@tf.function
def test():
data=tf.raw_ops.QuantizeAndDequantizeV2(
input=[1.0,1.0],
input_min=[1.0,10.0],
input_max=[1.0,10.0],
signed_input=False,
num_bits=10,
range_given=False,
round_mode='HALF_TO_EVEN',
narrow_range=False,
axis=-100)
return data
test()
In all of these cases, axis is a negative value different than the special value used for optional/unknown dimensions (i.e., -1). However, the code ignores the occurences of these values:
...
if (axis != -1) {
...
c->Dim(input, axis);
...
}
Patches
We have patched the issue in GitHub commit 7cf73a2274732c9d82af51c2bc2cf90d13cd7e6d.
The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, 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": "2.6.0"
},
{
"fixed": "2.6.1"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "2.5.0"
},
{
"fixed": "2.5.2"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.4.4"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-cpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.6.0"
},
{
"fixed": "2.6.1"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-cpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.5.0"
},
{
"fixed": "2.5.2"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-cpu"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.4.4"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.6.0"
},
{
"fixed": "2.6.1"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.5.0"
},
{
"fixed": "2.5.2"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.4.4"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2021-41205"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": true,
"github_reviewed_at": "2021-11-08T22:43:35Z",
"nvd_published_at": "2021-11-05T21:15:00Z",
"severity": "MODERATE"
},
"details": "### Impact\nThe [shape inference functions for the `QuantizeAndDequantizeV*` operations](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/ops/array_ops.cc) can trigger a read outside of bounds of heap allocated array as illustrated in the following sets of PoCs:\n\n```python\nimport tensorflow as tf\n\n@tf.function\ndef test():\n data=tf.raw_ops.QuantizeAndDequantizeV4Grad(\n gradients=[1.0,1.0],\n input=[1.0,1.0],\n input_min=[1.0,10.0],\n input_max=[1.0,10.0],\n axis=-100)\n return data\n\ntest()\n```\n\n```python\nimport tensorflow as tf\n\n@tf.function\ndef test():\n data=tf.raw_ops.QuantizeAndDequantizeV4(\n input=[1.0,1.0],\n input_min=[1.0,10.0],\n input_max=[1.0,10.0],\n signed_input=False,\n num_bits=10,\n range_given=False,\n round_mode=\u0027HALF_TO_EVEN\u0027,\n narrow_range=False,\n axis=-100)\n return data\n\ntest()\n```\n\n```python\nimport tensorflow as tf\n\n@tf.function\ndef test():\n data=tf.raw_ops.QuantizeAndDequantizeV3(\n input=[1.0,1.0],\n input_min=[1.0,10.0],\n input_max=[1.0,10.0],\n signed_input=False,\n num_bits=10,\n range_given=False,\n narrow_range=False,\n axis=-100)\n return data\n\ntest()\n```\n\n```python\nimport tensorflow as tf\n\n@tf.function\ndef test():\n data=tf.raw_ops.QuantizeAndDequantizeV2(\n input=[1.0,1.0],\n input_min=[1.0,10.0],\n input_max=[1.0,10.0],\n signed_input=False,\n num_bits=10,\n range_given=False,\n round_mode=\u0027HALF_TO_EVEN\u0027,\n narrow_range=False,\n axis=-100)\n return data\n\ntest()\n```\n\nIn all of these cases, `axis` is a negative value different than the special value used for optional/unknown dimensions (i.e., -1). However, the code ignores the occurences of these values:\n\n```cc\n...\nif (axis != -1) {\n ...\n c-\u003eDim(input, axis);\n ...\n}\n```\n\n### Patches\nWe have patched the issue in GitHub commit [7cf73a2274732c9d82af51c2bc2cf90d13cd7e6d](https://github.com/tensorflow/tensorflow/commit/7cf73a2274732c9d82af51c2bc2cf90d13cd7e6d).\n\nThe fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, 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.\n",
"id": "GHSA-49rx-x2rw-pc6f",
"modified": "2024-11-13T21:54:10Z",
"published": "2021-11-10T19:04:25Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-49rx-x2rw-pc6f"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-41205"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/commit/7cf73a2274732c9d82af51c2bc2cf90d13cd7e6d"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-615.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-813.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-398.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:N/A:H",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:H/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "Heap OOB read in all `tf.raw_ops.QuantizeAndDequantizeV*` ops"
}
GHSA-49VJ-5FCP-CH84
Vulnerability from github – Published: 2022-05-24 16:46 – Updated: 2022-05-24 16:46
VLAI
Details
Flash Player Desktop Runtime versions 32.0.0.114 and earlier, Flash Player for Google Chrome versions 32.0.0.114 and earlier, and Flash Player for Microsoft Edge and Internet Explorer 11 versions 32.0.0.114 and earlier have an out-of-bounds read vulnerability. Successful exploitation could lead to information disclosure.
{
"affected": [],
"aliases": [
"CVE-2019-7090"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2019-05-24T19:29:00Z",
"severity": "MODERATE"
},
"details": "Flash Player Desktop Runtime versions 32.0.0.114 and earlier, Flash Player for Google Chrome versions 32.0.0.114 and earlier, and Flash Player for Microsoft Edge and Internet Explorer 11 versions 32.0.0.114 and earlier have an out-of-bounds read vulnerability. Successful exploitation could lead to information disclosure.",
"id": "GHSA-49vj-5fcp-ch84",
"modified": "2022-05-24T16:46:45Z",
"published": "2022-05-24T16:46:45Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2019-7090"
},
{
"type": "WEB",
"url": "https://helpx.adobe.com/security/products/flash-player/apsb19-06.html"
}
],
"schema_version": "1.4.0",
"severity": []
}
GHSA-49W5-C2Q7-XQVQ
Vulnerability from github – Published: 2023-07-07 18:30 – Updated: 2024-04-04 05:50
VLAI
Details
An issue in JerryscriptProject jerryscript v.3.0.0 allows an attacker to obtain sensitive information via a crafted script to the arrays.
Severity
7.5 (High)
{
"affected": [],
"aliases": [
"CVE-2023-36201"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2023-07-07T16:15:09Z",
"severity": "HIGH"
},
"details": "An issue in JerryscriptProject jerryscript v.3.0.0 allows an attacker to obtain sensitive information via a crafted script to the arrays.",
"id": "GHSA-49w5-c2q7-xqvq",
"modified": "2024-04-04T05:50:37Z",
"published": "2023-07-07T18:30:26Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-36201"
},
{
"type": "WEB",
"url": "https://github.com/jerryscript-project/jerryscript/issues/5026"
}
],
"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-49X8-XRPP-PG4G
Vulnerability from github – Published: 2022-09-29 00:00 – Updated: 2022-09-30 00:00
VLAI
Details
readelf in ToaruOS 2.0.1 has some arbitrary address read vulnerabilities when parsing a crafted ELF file.
Severity
{
"affected": [],
"aliases": [
"CVE-2022-38934"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2022-09-28T17:15:00Z",
"severity": "LOW"
},
"details": "readelf in ToaruOS 2.0.1 has some arbitrary address read vulnerabilities when parsing a crafted ELF file.",
"id": "GHSA-49x8-xrpp-pg4g",
"modified": "2022-09-30T00:00:21Z",
"published": "2022-09-29T00:00:21Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-38934"
},
{
"type": "WEB",
"url": "https://github.com/klange/toaruos/issues/244"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L",
"type": "CVSS_V3"
}
]
}
GHSA-4C4M-JH8Q-43Q8
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-2018-15923"
],
"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-4c4m-jh8q-43q8",
"modified": "2022-05-14T00:52:56Z",
"published": "2022-05-14T00:52:56Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2018-15923"
},
{
"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-4C4R-GRRC-P4FV
Vulnerability from github – Published: 2022-04-19 00:00 – Updated: 2022-04-24 00:00
VLAI
Details
Multiple code execution vulnerabilities exists in the Nef polygon-parsing functionality of CGAL libcgal CGAL-5.1.1. A specially crafted malformed file can lead to an out-of-bounds read and type confusion, which could lead to code execution. An attacker can provide malicious input to trigger any of these vulnerabilities. An oob read vulnerability exists in Nef_S2/SNC_io_parser.h SNC_io_parser::read_volume() ch->shell_entry_objects().
Severity
8.8 (High)
{
"affected": [],
"aliases": [
"CVE-2020-28627"
],
"database_specific": {
"cwe_ids": [
"CWE-125",
"CWE-129"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2022-04-18T17:15:00Z",
"severity": "HIGH"
},
"details": "Multiple code execution vulnerabilities exists in the Nef polygon-parsing functionality of CGAL libcgal CGAL-5.1.1. A specially crafted malformed file can lead to an out-of-bounds read and type confusion, which could lead to code execution. An attacker can provide malicious input to trigger any of these vulnerabilities. An oob read vulnerability exists in Nef_S2/SNC_io_parser.h SNC_io_parser\u003cEW\u003e::read_volume() ch-\u003eshell_entry_objects().",
"id": "GHSA-4c4r-grrc-p4fv",
"modified": "2022-04-24T00:00:29Z",
"published": "2022-04-19T00:00:52Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2020-28627"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2022/12/msg00011.html"
},
{
"type": "WEB",
"url": "https://security.gentoo.org/glsa/202305-34"
},
{
"type": "WEB",
"url": "https://talosintelligence.com/vulnerability_reports/TALOS-2020-1225"
}
],
"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-4C7J-V446-XGX3
Vulnerability from github – Published: 2023-10-18 21:33 – Updated: 2024-04-04 08:46
VLAI
Details
In multiple functions of protocolembmsadapter.cpp, there is a possible out of bounds read due to a missing bounds check. This could lead to remote information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.
Severity
7.5 (High)
{
"affected": [],
"aliases": [
"CVE-2023-35656"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2023-10-18T20:15:08Z",
"severity": "HIGH"
},
"details": " In multiple functions of protocolembmsadapter.cpp, there is a possible out\n of bounds read due to a missing bounds check. This could lead to remote\n information disclosure with no additional execution privileges needed. User\n interaction is not needed for exploitation.",
"id": "GHSA-4c7j-v446-xgx3",
"modified": "2024-04-04T08:46:42Z",
"published": "2023-10-18T21:33:11Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-35656"
},
{
"type": "WEB",
"url": "https://source.android.com/security/bulletin/pixel/2023-10-01"
}
],
"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-4C83-M6V2-MVRM
Vulnerability from github – Published: 2022-05-24 17:00 – Updated: 2024-04-04 02:39
VLAI
Details
Out of bound read in Intel(R) Baseboard Management Controller firmware may allow an unauthenticated user to potentially enable information disclosure via network access.
Severity
5.3 (Medium)
{
"affected": [],
"aliases": [
"CVE-2019-11172"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2019-11-14T17:15:00Z",
"severity": "MODERATE"
},
"details": "Out of bound read in Intel(R) Baseboard Management Controller firmware may allow an unauthenticated user to potentially enable information disclosure via network access.",
"id": "GHSA-4c83-m6v2-mvrm",
"modified": "2024-04-04T02:39:33Z",
"published": "2022-05-24T17:00:57Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2019-11172"
},
{
"type": "WEB",
"url": "https://www.intel.com/content/www/us/en/security-center/advisory/intel-sa-00313.html"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N",
"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.