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.
11405 vulnerabilities reference this CWE, most recent first.
GHSA-9XH4-23Q4-V6WR
Vulnerability from github – Published: 2021-05-21 14:26 – Updated: 2024-11-13 15:59
VLAI
Summary
Heap buffer overflow and undefined behavior in `FusedBatchNorm`
Details
Impact
The implementation of tf.raw_ops.FusedBatchNorm is vulnerable to a heap buffer overflow:
import tensorflow as tf
x = tf.zeros([10, 10, 10, 6], dtype=tf.float32)
scale = tf.constant([0.0], shape=[1], dtype=tf.float32)
offset = tf.constant([0.0], shape=[1], dtype=tf.float32)
mean = tf.constant([0.0], shape=[1], dtype=tf.float32)
variance = tf.constant([0.0], shape=[1], dtype=tf.float32)
epsilon = 0.0
exponential_avg_factor = 0.0
data_format = "NHWC"
is_training = False
tf.raw_ops.FusedBatchNorm(
x=x, scale=scale, offset=offset, mean=mean, variance=variance,
epsilon=epsilon, exponential_avg_factor=exponential_avg_factor,
data_format=data_format, is_training=is_training)
If the tensors are empty, the same implementation can trigger undefined behavior by dereferencing null pointers:
import tensorflow as tf
import numpy as np
x = tf.zeros([10, 10, 10, 1], dtype=tf.float32)
scale = tf.constant([], shape=[0], dtype=tf.float32)
offset = tf.constant([], shape=[0], dtype=tf.float32)
mean = tf.constant([], shape=[0], dtype=tf.float32)
variance = tf.constant([], shape=[0], dtype=tf.float32)
epsilon = 0.0
exponential_avg_factor = 0.0
data_format = "NHWC"
is_training = False
tf.raw_ops.FusedBatchNorm(
x=x, scale=scale, offset=offset, mean=mean, variance=variance,
epsilon=epsilon, exponential_avg_factor=exponential_avg_factor,
data_format=data_format, is_training=is_training)
The implementation fails to validate that scale, offset, mean and variance (the last two only when required) all have the same number of elements as the number of channels of x. This results in heap out of bounds reads when the buffers backing these tensors are indexed past their boundary.
If the tensors are empty, the validation mentioned in the above paragraph would also trigger and prevent the undefined behavior.
Patches
We have patched the issue in GitHub commit 6972f9dfe325636b3db4e0bc517ee22a159365c0.
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 Ying Wang and Yakun Zhang 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-2021-29583"
],
"database_specific": {
"cwe_ids": [
"CWE-125",
"CWE-476",
"CWE-787"
],
"github_reviewed": true,
"github_reviewed_at": "2021-05-18T17:28:58Z",
"nvd_published_at": "2021-05-14T20:15:00Z",
"severity": "LOW"
},
"details": "### Impact\nThe implementation of `tf.raw_ops.FusedBatchNorm` is vulnerable to a heap buffer overflow:\n \n```python\nimport tensorflow as tf\n\nx = tf.zeros([10, 10, 10, 6], dtype=tf.float32)\nscale = tf.constant([0.0], shape=[1], dtype=tf.float32)\noffset = tf.constant([0.0], shape=[1], dtype=tf.float32)\nmean = tf.constant([0.0], shape=[1], dtype=tf.float32)\nvariance = tf.constant([0.0], shape=[1], dtype=tf.float32)\nepsilon = 0.0\nexponential_avg_factor = 0.0\ndata_format = \"NHWC\"\nis_training = False\n \ntf.raw_ops.FusedBatchNorm(\n x=x, scale=scale, offset=offset, mean=mean, variance=variance,\n epsilon=epsilon, exponential_avg_factor=exponential_avg_factor,\n data_format=data_format, is_training=is_training)\n```\n \nIf the tensors are empty, the same implementation can trigger undefined behavior by dereferencing null pointers:\n\n```python \nimport tensorflow as tf\nimport numpy as np\n\nx = tf.zeros([10, 10, 10, 1], dtype=tf.float32)\nscale = tf.constant([], shape=[0], dtype=tf.float32)\noffset = tf.constant([], shape=[0], dtype=tf.float32)\nmean = tf.constant([], shape=[0], dtype=tf.float32)\nvariance = tf.constant([], shape=[0], dtype=tf.float32)\nepsilon = 0.0\nexponential_avg_factor = 0.0\ndata_format = \"NHWC\"\nis_training = False\n\ntf.raw_ops.FusedBatchNorm(\n x=x, scale=scale, offset=offset, mean=mean, variance=variance, \n epsilon=epsilon, exponential_avg_factor=exponential_avg_factor,\n data_format=data_format, is_training=is_training)\n``` \n\nThe [implementation](https://github.com/tensorflow/tensorflow/blob/57d86e0db5d1365f19adcce848dfc1bf89fdd4c7/tensorflow/core/kernels/fused_batch_norm_op.cc) fails to validate that `scale`, `offset`, `mean` and `variance` (the last two only when required) all have the same number of elements as the number of channels of `x`. This results in heap out of bounds reads when the buffers backing these tensors are indexed past their boundary.\n\nIf the tensors are empty, the validation mentioned in the above paragraph would also trigger and prevent the undefined behavior.\n\n### Patches\nWe have patched the issue in GitHub commit [6972f9dfe325636b3db4e0bc517ee22a159365c0](https://github.com/tensorflow/tensorflow/commit/6972f9dfe325636b3db4e0bc517ee22a159365c0).\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 Ying Wang and Yakun Zhang of Baidu X-Team.",
"id": "GHSA-9xh4-23q4-v6wr",
"modified": "2024-11-13T15:59:06Z",
"published": "2021-05-21T14:26:35Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9xh4-23q4-v6wr"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-29583"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/commit/6972f9dfe325636b3db4e0bc517ee22a159365c0"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-511.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-709.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-220.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:N/I:N/A:L",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "Heap buffer overflow and undefined behavior in `FusedBatchNorm`"
}
GHSA-9XH8-4CJJ-QF63
Vulnerability from github – Published: 2024-05-16 21:31 – Updated: 2024-05-16 21:31
VLAI
Details
Out-of-bounds read in Intel(R) Media SDK and some Intel(R) oneVPL software before version 23.3.5 may allow an authenticated user to potentially enable escalation of privilege via local access.
Severity
{
"affected": [],
"aliases": [
"CVE-2023-22656"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2024-05-16T21:15:50Z",
"severity": "LOW"
},
"details": "Out-of-bounds read in Intel(R) Media SDK and some Intel(R) oneVPL software before version 23.3.5 may allow an authenticated user to potentially enable escalation of privilege via local access.",
"id": "GHSA-9xh8-4cjj-qf63",
"modified": "2024-05-16T21:31:58Z",
"published": "2024-05-16T21:31:58Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-22656"
},
{
"type": "WEB",
"url": "https://www.intel.com/content/www/us/en/security-center/advisory/intel-sa-00935.html"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:U/C:L/I:L/A:N",
"type": "CVSS_V3"
}
]
}
GHSA-9XJX-CFJM-M3PQ
Vulnerability from github – Published: 2024-10-07 03:30 – Updated: 2024-10-10 18:31
VLAI
Details
In vdec, there is a possible out of bounds read due to a missing bounds check. This could lead to local information disclosure with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS09028313; Issue ID: MSV-1701.
Severity
4.4 (Medium)
{
"affected": [],
"aliases": [
"CVE-2024-20091"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2024-10-07T03:15:02Z",
"severity": "MODERATE"
},
"details": "In vdec, there is a possible out of bounds read due to a missing bounds check. This could lead to local information disclosure with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS09028313; Issue ID: MSV-1701.",
"id": "GHSA-9xjx-cfjm-m3pq",
"modified": "2024-10-10T18:31:08Z",
"published": "2024-10-07T03:30:31Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-20091"
},
{
"type": "WEB",
"url": "https://corp.mediatek.com/product-security-bulletin/October-2024"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:U/C:H/I:N/A:N",
"type": "CVSS_V3"
}
]
}
GHSA-9XMM-CPF8-RGMX
Vulnerability from github – Published: 2022-05-14 02:18 – Updated: 2022-05-14 02:18
VLAI
Details
An issue was discovered in the HDF HDF5 1.8.20 library. There is an out of bounds read in H5L_extern_query at H5Lexternal.c.
Severity
8.8 (High)
{
"affected": [],
"aliases": [
"CVE-2018-16438"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2018-09-04T00:29:00Z",
"severity": "HIGH"
},
"details": "An issue was discovered in the HDF HDF5 1.8.20 library. There is an out of bounds read in H5L_extern_query at H5Lexternal.c.",
"id": "GHSA-9xmm-cpf8-rgmx",
"modified": "2022-05-14T02:18:49Z",
"published": "2022-05-14T02:18:49Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2018-16438"
},
{
"type": "WEB",
"url": "https://github.com/TeamSeri0us/pocs/tree/master/hdf5/h5stat"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-9XPJ-6P26-CWQJ
Vulnerability from github – Published: 2025-04-08 06:30 – Updated: 2025-04-08 06:30
VLAI
Details
Out-of-bounds read in parsing audio data in libsavsac.so prior to SMR Apr-2025 Release 1 allows local attackers to read out-of-bounds memory.
Severity
6.2 (Medium)
{
"affected": [],
"aliases": [
"CVE-2025-20944"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-04-08T05:15:38Z",
"severity": "MODERATE"
},
"details": "Out-of-bounds read in parsing audio data in libsavsac.so prior to SMR Apr-2025 Release 1 allows local attackers to read out-of-bounds memory.",
"id": "GHSA-9xpj-6p26-cwqj",
"modified": "2025-04-08T06:30:40Z",
"published": "2025-04-08T06:30:39Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-20944"
},
{
"type": "WEB",
"url": "https://security.samsungmobile.com/securityUpdate.smsb?year=2025\u0026month=04"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"type": "CVSS_V3"
}
]
}
GHSA-9XQF-QWQ5-7QRM
Vulnerability from github – Published: 2022-05-24 19:13 – Updated: 2022-05-24 19:13
VLAI
Details
An out-of-bounds read was addressed with improved bounds checking. This issue is fixed in tvOS 14.6, Security Update 2021-004 Mojave, iOS 14.6 and iPadOS 14.6, Security Update 2021-003 Catalina, macOS Big Sur 11.4, watchOS 7.5. Processing a maliciously crafted image may lead to disclosure of user information.
{
"affected": [],
"aliases": [
"CVE-2021-30687"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2021-09-08T15:15:00Z",
"severity": "MODERATE"
},
"details": "An out-of-bounds read was addressed with improved bounds checking. This issue is fixed in tvOS 14.6, Security Update 2021-004 Mojave, iOS 14.6 and iPadOS 14.6, Security Update 2021-003 Catalina, macOS Big Sur 11.4, watchOS 7.5. Processing a maliciously crafted image may lead to disclosure of user information.",
"id": "GHSA-9xqf-qwq5-7qrm",
"modified": "2022-05-24T19:13:26Z",
"published": "2022-05-24T19:13:26Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-30687"
},
{
"type": "WEB",
"url": "https://support.apple.com/en-us/HT212528"
},
{
"type": "WEB",
"url": "https://support.apple.com/en-us/HT212529"
},
{
"type": "WEB",
"url": "https://support.apple.com/en-us/HT212530"
},
{
"type": "WEB",
"url": "https://support.apple.com/en-us/HT212531"
},
{
"type": "WEB",
"url": "https://support.apple.com/en-us/HT212532"
},
{
"type": "WEB",
"url": "https://support.apple.com/en-us/HT212533"
}
],
"schema_version": "1.4.0",
"severity": []
}
GHSA-9XQV-VX9R-6F38
Vulnerability from github – Published: 2022-05-24 19:07 – Updated: 2022-10-08 00:00
VLAI
Details
A vulnerability has been identified in JT2Go (All versions < V13.2), Teamcenter Visualization (All versions < V13.2). The BMP_Loader.dll library in affected applications lacks proper validation of user-supplied data when parsing BMP files. This could result in an out of bounds read past the end of an allocated buffer. An attacker could leverage this vulnerability to leak information in the context of the current process. (ZDI-CAN-13197)
Severity
5.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2021-34302"
],
"database_specific": {
"cwe_ids": [
"CWE-125",
"CWE-126",
"CWE-20"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2021-07-13T11:15:00Z",
"severity": "MODERATE"
},
"details": "A vulnerability has been identified in JT2Go (All versions \u003c V13.2), Teamcenter Visualization (All versions \u003c V13.2). The BMP_Loader.dll library in affected applications lacks proper validation of user-supplied data when parsing BMP files. This could result in an out of bounds read past the end of an allocated buffer. An attacker could leverage this vulnerability to leak information in the context of the current process. (ZDI-CAN-13197)",
"id": "GHSA-9xqv-vx9r-6f38",
"modified": "2022-10-08T00:00:17Z",
"published": "2022-05-24T19:07:41Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-34302"
},
{
"type": "WEB",
"url": "https://cert-portal.siemens.com/productcert/pdf/ssa-483182.pdf"
},
{
"type": "WEB",
"url": "https://www.zerodayinitiative.com/advisories/ZDI-21-847"
}
],
"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-9XR8-FPXG-QJHF
Vulnerability from github – Published: 2022-04-25 00:00 – Updated: 2022-05-04 00:00
VLAI
Details
Out-of-bounds Read in r_bin_java_bootstrap_methods_attr_new function in GitHub repository radareorg/radare2 prior to 5.7.0. The bug causes the program reads data past the end 2f the intented buffer. Typically, this can allow attackers to read sensitive information from other memory locations or cause a crash. More details see CWE-125: Out-of-bounds read.
Severity
7.1 (High)
{
"affected": [],
"aliases": [
"CVE-2022-1452"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2022-04-24T21:15:00Z",
"severity": "HIGH"
},
"details": "Out-of-bounds Read in r_bin_java_bootstrap_methods_attr_new function in GitHub repository radareorg/radare2 prior to 5.7.0. The bug causes the program reads data past the end 2f the intented buffer. Typically, this can allow attackers to read sensitive information from other memory locations or cause a crash. More details see [CWE-125: Out-of-bounds read](https://cwe.mitre.org/data/definitions/125.html).",
"id": "GHSA-9xr8-fpxg-qjhf",
"modified": "2022-05-04T00:00:36Z",
"published": "2022-04-25T00:00:49Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-1452"
},
{
"type": "WEB",
"url": "https://github.com/radareorg/radare2/commit/ecc44b6a2f18ee70ac133365de0e509d26d5e168"
},
{
"type": "WEB",
"url": "https://huntr.dev/bounties/c8f4c2de-7d96-4ad4-857a-c099effca2d6"
}
],
"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:H",
"type": "CVSS_V3"
}
]
}
GHSA-9XRG-J488-68QQ
Vulnerability from github – Published: 2024-05-01 15:30 – Updated: 2025-11-04 18:30
VLAI
Details
Out of bounds read in V8 API in Google Chrome prior to 124.0.6367.78 allowed a remote attacker to leak cross-site data via a crafted HTML page. (Chromium security severity: High)
Severity
6.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2024-4059"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2024-05-01T13:15:52Z",
"severity": "MODERATE"
},
"details": "Out of bounds read in V8 API in Google Chrome prior to 124.0.6367.78 allowed a remote attacker to leak cross-site data via a crafted HTML page. (Chromium security severity: High)",
"id": "GHSA-9xrg-j488-68qq",
"modified": "2025-11-04T18:30:54Z",
"published": "2024-05-01T15:30:37Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-4059"
},
{
"type": "WEB",
"url": "https://chromereleases.googleblog.com/2024/04/stable-channel-update-for-desktop_24.html"
},
{
"type": "WEB",
"url": "https://issues.chromium.org/issues/333182464"
},
{
"type": "WEB",
"url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/IDLUD644WEWGOFKMZWC2K7Z4CQOKQYR7"
},
{
"type": "WEB",
"url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/M4PCXKCOVBUUU6GOSN46DCPI4HMER3PJ"
},
{
"type": "WEB",
"url": "https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/UOC3HLIZCGMIJLJ6LME5UWUUIFLXEGRN"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N",
"type": "CVSS_V3"
}
]
}
GHSA-9XX5-PQ8W-VF57
Vulnerability from github – Published: 2025-09-17 21:30 – Updated: 2025-09-17 21:30
VLAI
Details
Ashlar-Vellum Cobalt CO File Parsing Out-Of-Bounds Read Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Ashlar-Vellum Cobalt. 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 CO 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 data structure. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-26235.
Severity
7.8 (High)
{
"affected": [],
"aliases": [
"CVE-2025-8003"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-09-17T21:15:42Z",
"severity": "HIGH"
},
"details": "Ashlar-Vellum Cobalt CO File Parsing Out-Of-Bounds Read Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Ashlar-Vellum Cobalt. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.\n\nThe specific flaw exists within the parsing of CO 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 data structure. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-26235.",
"id": "GHSA-9xx5-pq8w-vf57",
"modified": "2025-09-17T21:30:44Z",
"published": "2025-09-17T21:30:44Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-8003"
},
{
"type": "WEB",
"url": "https://www.zerodayinitiative.com/advisories/ZDI-25-720"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"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.