CWE-1284
AllowedImproper Validation of Specified Quantity in Input
Abstraction: Base · Status: Incomplete
The product receives input that is expected to specify a quantity (such as size or length), but it does not validate or incorrectly validates that the quantity has the required properties.
494 vulnerabilities reference this CWE, most recent first.
GHSA-2VF6-7R77-GGP5
Vulnerability from github – Published: 2026-01-31 00:30 – Updated: 2026-01-31 00:30IBM Db2 for Linux, UNIX and Windows (includes Db2 Connect Server) 11.5.0 - 11.5.9 and 12.1.0 - 12.1.3 could allow a local user to cause a denial of service due to improper neutralization of special elements in data query logic.
{
"affected": [],
"aliases": [
"CVE-2025-36424"
],
"database_specific": {
"cwe_ids": [
"CWE-1284"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-01-30T22:15:55Z",
"severity": "MODERATE"
},
"details": "IBM Db2 for Linux, UNIX and Windows (includes Db2 Connect Server) 11.5.0 - 11.5.9 and 12.1.0 - 12.1.3 could allow a local user to cause a denial of service due to improper neutralization of special elements in data query logic.",
"id": "GHSA-2vf6-7r77-ggp5",
"modified": "2026-01-31T00:30:28Z",
"published": "2026-01-31T00:30:28Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-36424"
},
{
"type": "WEB",
"url": "https://www.ibm.com/support/pages/node/7257695"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-2VJV-62J5-C7H3
Vulnerability from github – Published: 2023-05-16 00:30 – Updated: 2024-04-04 04:10In apu, there is a possible out of bounds read due to a missing bounds check. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS07767826; Issue ID: ALPS07767826.
{
"affected": [],
"aliases": [
"CVE-2023-20704"
],
"database_specific": {
"cwe_ids": [
"CWE-1284",
"CWE-20"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2023-05-15T22:15:10Z",
"severity": "MODERATE"
},
"details": "In apu, there is a possible out of bounds read due to a missing bounds check. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS07767826; Issue ID: ALPS07767826.",
"id": "GHSA-2vjv-62j5-c7h3",
"modified": "2024-04-04T04:10:23Z",
"published": "2023-05-16T00:30:16Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-20704"
},
{
"type": "WEB",
"url": "https://corp.mediatek.com/product-security-bulletin/May-2023"
}
],
"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:N",
"type": "CVSS_V3"
}
]
}
GHSA-2VV3-56QG-G2CF
Vulnerability from github – Published: 2022-05-24 22:10 – Updated: 2022-05-24 22:10Impact
The implementation of tf.raw_ops.LSTMBlockCell does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack:
import tensorflow as tf
tf.raw_ops.LSTMBlockCell(
x=tf.constant(0.837607, shape=[28,29], dtype=tf.float32),
cs_prev=tf.constant(0, shape=[28,17], dtype=tf.float32),
h_prev=tf.constant(0.592631638, shape=[28,17], dtype=tf.float32),
w=tf.constant(0.887386262, shape=[46,68], dtype=tf.float32),
wci=tf.constant(0, shape=[], dtype=tf.float32),
wcf=tf.constant(0, shape=[17], dtype=tf.float32),
wco=tf.constant(0.592631638, shape=[28,17], dtype=tf.float32),
b=tf.constant(0.75259006, shape=[68], dtype=tf.float32),
forget_bias=1, cell_clip=0, use_peephole=False)
The code does not validate the ranks of any of the arguments to this API call. This results in CHECK-failures when the elements of the tensor are accessed.
Patches
We have patched the issue in GitHub commit 803404044ae7a1efac48ba82d74111fce1ddb09a.
The fix will be included in TensorFlow 2.9.0. We will also cherrypick this commit on TensorFlow 2.8.1, TensorFlow 2.7.2, and TensorFlow 2.6.4, 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 Neophytos Christou from Secure Systems Lab at Brown University.
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.6.4"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "2.7.0"
},
{
"fixed": "2.7.2"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow"
},
"ranges": [
{
"events": [
{
"introduced": "2.8.0"
},
{
"fixed": "2.8.1"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-cpu"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.6.4"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-cpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.7.0"
},
{
"fixed": "2.7.2"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-cpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.8.0"
},
{
"fixed": "2.8.1"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.6.4"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.7.0"
},
{
"fixed": "2.7.2"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu"
},
"ranges": [
{
"events": [
{
"introduced": "2.8.0"
},
{
"fixed": "2.8.1"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2022-29200"
],
"database_specific": {
"cwe_ids": [
"CWE-1284",
"CWE-20"
],
"github_reviewed": true,
"github_reviewed_at": "2022-05-24T22:10:01Z",
"nvd_published_at": "2022-05-20T22:16:00Z",
"severity": "MODERATE"
},
"details": "### Impact\nThe implementation of [`tf.raw_ops.LSTMBlockCell`](https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/rnn/lstm_ops.cc) does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack:\n\n```python\nimport tensorflow as tf\n\ntf.raw_ops.LSTMBlockCell( \n x=tf.constant(0.837607, shape=[28,29], dtype=tf.float32),\n cs_prev=tf.constant(0, shape=[28,17], dtype=tf.float32),\n h_prev=tf.constant(0.592631638, shape=[28,17], dtype=tf.float32),\n w=tf.constant(0.887386262, shape=[46,68], dtype=tf.float32),\n wci=tf.constant(0, shape=[], dtype=tf.float32),\n wcf=tf.constant(0, shape=[17], dtype=tf.float32),\n wco=tf.constant(0.592631638, shape=[28,17], dtype=tf.float32),\n b=tf.constant(0.75259006, shape=[68], dtype=tf.float32),\n forget_bias=1, cell_clip=0, use_peephole=False)\n``` \n \nThe code does not validate the ranks of any of the arguments to this API call. This results in `CHECK`-failures when the elements of the tensor are accessed.\n \n### Patches\nWe have patched the issue in GitHub commit [803404044ae7a1efac48ba82d74111fce1ddb09a](https://github.com/tensorflow/tensorflow/commit/803404044ae7a1efac48ba82d74111fce1ddb09a).\n \nThe fix will be included in TensorFlow 2.9.0. We will also cherrypick this commit on TensorFlow 2.8.1, TensorFlow 2.7.2, and TensorFlow 2.6.4, 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 Neophytos Christou from Secure Systems Lab at Brown University.\n",
"id": "GHSA-2vv3-56qg-g2cf",
"modified": "2022-05-24T22:10:01Z",
"published": "2022-05-24T22:10:01Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-2vv3-56qg-g2cf"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-29200"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/commit/803404044ae7a1efac48ba82d74111fce1ddb09a"
},
{
"type": "PACKAGE",
"url": "https://github.com/tensorflow/tensorflow"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/rnn/lstm_ops.cc"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
],
"summary": "Missing validation causes denial of service via `LSTMBlockCell`"
}
GHSA-2XC5-QJQV-QJRP
Vulnerability from github – Published: 2026-06-15 21:30 – Updated: 2026-06-15 21:30Unauthenticated Other Vulnerability Type in WpEvently <= 5.3.3 versions.
{
"affected": [],
"aliases": [
"CVE-2026-45441"
],
"database_specific": {
"cwe_ids": [
"CWE-1284"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-06-15T21:17:03Z",
"severity": "HIGH"
},
"details": "Unauthenticated Other Vulnerability Type in WpEvently \u003c= 5.3.3 versions.",
"id": "GHSA-2xc5-qjqv-qjrp",
"modified": "2026-06-15T21:30:47Z",
"published": "2026-06-15T21:30:47Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-45441"
},
{
"type": "WEB",
"url": "https://patchstack.com/database/wordpress/plugin/mage-eventpress/vulnerability/wordpress-wpevently-plugin-5-3-3-other-vulnerability-type-vulnerability?_s_id=cve"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N",
"type": "CVSS_V3"
}
]
}
GHSA-33XP-654M-3J2X
Vulnerability from github – Published: 2025-02-25 21:31 – Updated: 2025-02-25 21:31NVIDIA CUDA toolkit for Linux and Windows contains a vulnerability in the cuobjdump binary, where a user could cause a crash by passing a malformed ELF file to cuobjdump. A successful exploit of this vulnerability might lead to a partial denial of service.
{
"affected": [],
"aliases": [
"CVE-2024-53879"
],
"database_specific": {
"cwe_ids": [
"CWE-1284"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-02-25T21:15:17Z",
"severity": "LOW"
},
"details": "NVIDIA CUDA toolkit for Linux and Windows contains a vulnerability in the cuobjdump binary, where a user could cause a crash by passing a malformed ELF file to cuobjdump. A successful exploit of this vulnerability might lead to a partial denial of service.",
"id": "GHSA-33xp-654m-3j2x",
"modified": "2025-02-25T21:31:45Z",
"published": "2025-02-25T21:31:45Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-53879"
},
{
"type": "WEB",
"url": "https://nvidia.custhelp.com/app/answers/detail/a_id/5594"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:U/C:N/I:N/A:L",
"type": "CVSS_V3"
}
]
}
GHSA-379R-2P3H-M47V
Vulnerability from github – Published: 2026-06-10 15:31 – Updated: 2026-06-10 15:31libnfs through 6.0.2 before 55c18ea does not validate a string size, leading to an integer overflow during a connection to a crafted NFS server. This occurs in libnfs_zdr_string in lib/libnfs-zdr.c.
{
"affected": [],
"aliases": [
"CVE-2026-53689"
],
"database_specific": {
"cwe_ids": [
"CWE-1284"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-06-10T15:16:42Z",
"severity": "HIGH"
},
"details": "libnfs through 6.0.2 before 55c18ea does not validate a string size, leading to an integer overflow during a connection to a crafted NFS server. This occurs in libnfs_zdr_string in lib/libnfs-zdr.c.",
"id": "GHSA-379r-2p3h-m47v",
"modified": "2026-06-10T15:31:33Z",
"published": "2026-06-10T15:31:33Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-53689"
},
{
"type": "WEB",
"url": "https://github.com/sahlberg/libnfs/commit/55c18ea33a83d667f79f0ef209c96895795c729f"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:L",
"type": "CVSS_V3"
}
]
}
GHSA-37V8-9C9H-3MQR
Vulnerability from github – Published: 2023-05-16 00:30 – Updated: 2024-04-04 04:10In keyinstall, 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: ALPS07576951; Issue ID: ALPS07576951.
{
"affected": [],
"aliases": [
"CVE-2023-20709"
],
"database_specific": {
"cwe_ids": [
"CWE-1284",
"CWE-20"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2023-05-15T22:15:11Z",
"severity": "MODERATE"
},
"details": "In keyinstall, 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: ALPS07576951; Issue ID: ALPS07576951.",
"id": "GHSA-37v8-9c9h-3mqr",
"modified": "2024-04-04T04:10:42Z",
"published": "2023-05-16T00:30:16Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-20709"
},
{
"type": "WEB",
"url": "https://corp.mediatek.com/product-security-bulletin/May-2023"
}
],
"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-37VV-65J3-R854
Vulnerability from github – Published: 2023-04-01 06:31 – Updated: 2023-04-10 15:30NVIDIA GPU Display Driver for Windows contains a vulnerability in the kernel mode layer driver nvlddmkm.sys, where an can cause CWE-1284, which may lead to hypothetical Information leak of unimportant data such as local variable data of the driver
{
"affected": [],
"aliases": [
"CVE-2023-0195"
],
"database_specific": {
"cwe_ids": [
"CWE-1284"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2023-04-01T05:15:00Z",
"severity": "LOW"
},
"details": "NVIDIA GPU Display Driver for Windows contains a vulnerability in the kernel mode layer driver nvlddmkm.sys, where an can cause CWE-1284, which may lead to hypothetical Information leak of unimportant data such as local variable data of the driver",
"id": "GHSA-37vv-65j3-r854",
"modified": "2023-04-10T15:30:26Z",
"published": "2023-04-01T06:31:24Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-0195"
},
{
"type": "WEB",
"url": "https://nvidia.custhelp.com/app/answers/detail/a_id/5452"
},
{
"type": "WEB",
"url": "https://security.gentoo.org/glsa/202310-02"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:P/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N",
"type": "CVSS_V3"
}
]
}
GHSA-3C68-7MFH-FV9V
Vulnerability from github – Published: 2021-12-24 00:00 – Updated: 2023-08-08 15:31In Open5GS 2.4.0, a crafted packet from UE can crash SGW-U/UPF.
{
"affected": [],
"aliases": [
"CVE-2021-45462"
],
"database_specific": {
"cwe_ids": [
"CWE-1284",
"CWE-20"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2021-12-23T04:15:00Z",
"severity": "HIGH"
},
"details": "In Open5GS 2.4.0, a crafted packet from UE can crash SGW-U/UPF.",
"id": "GHSA-3c68-7mfh-fv9v",
"modified": "2023-08-08T15:31:26Z",
"published": "2021-12-24T00:00:46Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-45462"
},
{
"type": "WEB",
"url": "https://github.com/open5gs/open5gs/commit/a0f2535cb5a29bba6dbbccdb90c74ccd770cc700"
},
{
"type": "WEB",
"url": "https://www.trendmicro.com/en_us/research/23/i/attacks-on-5g-infrastructure-from-users-devices.html"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-3CXC-PHXH-65VQ
Vulnerability from github – Published: 2025-04-21 00:30 – Updated: 2025-11-03 21:33In LibRaw before 0.21.4, tag 0x412 processing in phase_one_correct in decoders/load_mfbacks.cpp does not enforce minimum w0 and w1 values.
{
"affected": [],
"aliases": [
"CVE-2025-43964"
],
"database_specific": {
"cwe_ids": [
"CWE-1284"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-04-21T00:15:33Z",
"severity": "LOW"
},
"details": "In LibRaw before 0.21.4, tag 0x412 processing in phase_one_correct in decoders/load_mfbacks.cpp does not enforce minimum w0 and w1 values.",
"id": "GHSA-3cxc-phxh-65vq",
"modified": "2025-11-03T21:33:41Z",
"published": "2025-04-21T00:30:19Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-43964"
},
{
"type": "WEB",
"url": "https://github.com/LibRaw/LibRaw/commit/a50dc3f1127d2e37a9b39f57ad9bb2ebb60f18c0"
},
{
"type": "WEB",
"url": "https://github.com/LibRaw/LibRaw/compare/0.21.3...0.21.4"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2025/04/msg00038.html"
},
{
"type": "WEB",
"url": "https://www.libraw.org/news/libraw-0-21-4-release"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:L",
"type": "CVSS_V3"
}
]
}
Mitigation MIT-5
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.
No CAPEC attack patterns related to this CWE.