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CVE-2022-41880

MEDIUM
Published 2022-11-18T00:00:00.000Z
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CVSS Score

V3.1
6.8
/10
CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:L/I:L/A:H
Base Score Metrics
Exploitability: N/A Impact: N/A

EPSS Score

v2025.03.14
0.001
probability
of exploitation in the wild

There is a 0.1% chance that this vulnerability will be exploited in the wild within the next 30 days.

Updated: 2025-06-25
Exploit Probability
Percentile: 0.329
Higher than 32.9% of all CVEs

Attack Vector Metrics

Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
LOW
User Interaction
REQUIRED
Scope
UNCHANGED

Impact Metrics

Confidentiality
LOW
Integrity
LOW
Availability
HIGH

Description

TensorFlow is an open source platform for machine learning. When the `BaseCandidateSamplerOp` function receives a value in `true_classes` larger than `range_max`, a heap oob read occurs. We have patched the issue in GitHub commit b389f5c944cadfdfe599b3f1e4026e036f30d2d4. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

Available Exploits

No exploits available for this CVE.

Related News

No news articles found for this CVE.

Affected Products

GitHub Security Advisories

Community-driven vulnerability intelligence from GitHub

✓ GitHub Reviewed MODERATE

Tensorflow vulnerable to Out-of-Bounds Read

GHSA-8w5g-3wcv-9g2j

Advisory Details

### Impact When the [`BaseCandidateSamplerOp`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/candidate_sampler_ops.cc) function receives a value in `true_classes` larger than `range_max`, a heap oob vuln occurs. ```python tf.raw_ops.ThreadUnsafeUnigramCandidateSampler( true_classes=[[0x100000,1]], num_true = 2, num_sampled = 2, unique = False, range_max = 2, seed = 2, seed2 = 2) ``` ### Patches We have patched the issue in GitHub commit [b389f5c944cadfdfe599b3f1e4026e036f30d2d4](https://github.com/tensorflow/tensorflow/commit/b389f5c944cadfdfe599b3f1e4026e036f30d2d4). The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range. ### For more information Please 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. ### Attribution This vulnerability has been reported by Yu Tian of Qihoo 360 AIVul Team.

Affected Packages

PyPI tensorflow
ECOSYSTEM: ≥2.10.0 <2.10.1
PyPI tensorflow-cpu
ECOSYSTEM: ≥2.10.0 <2.10.1
PyPI tensorflow-gpu
ECOSYSTEM: ≥2.10.0 <2.10.1
PyPI tensorflow
ECOSYSTEM: ≥0 <2.8.4
PyPI tensorflow-cpu
ECOSYSTEM: ≥0 <2.8.4
PyPI tensorflow-gpu
ECOSYSTEM: ≥0 <2.8.4
PyPI tensorflow
ECOSYSTEM: ≥2.9.0 <2.9.3
PyPI tensorflow-cpu
ECOSYSTEM: ≥2.9.0 <2.9.3
PyPI tensorflow-gpu
ECOSYSTEM: ≥2.9.0 <2.9.3

CVSS Scoring

CVSS Score

5.0

CVSS Vector

CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:L/I:L/A:H

Advisory provided by GitHub Security Advisory Database. Published: November 22, 2022, Modified: November 22, 2022

References

Published: 2022-11-18T00:00:00.000Z
Last Modified: 2025-04-22T16:07:13.537Z
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