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CVE-2022-23561

HIGH
Published 2022-02-04T22:32:46.000Z
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CVSS Score

V3.1
8.8
/10
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Base Score Metrics
Exploitability: N/A Impact: N/A

EPSS Score

v2025.03.14
0.002
probability
of exploitation in the wild

There is a 0.2% chance that this vulnerability will be exploited in the wild within the next 30 days.

Updated: 2025-06-25
Exploit Probability
Percentile: 0.384
Higher than 38.4% of all CVEs

Attack Vector Metrics

Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
LOW
User Interaction
NONE
Scope
UNCHANGED

Impact Metrics

Confidentiality
HIGH
Integrity
HIGH
Availability
HIGH

Description

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause a write outside of bounds of an array in TFLite. In fact, the attacker can override the linked list used by the memory allocator. This can be leveraged for an arbitrary write primitive under certain conditions. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, 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

tensorflow

tensorflow

Affected Versions:

>= 2.7.0, < 2.7.1 >= 2.6.0, < 2.6.3 < 2.5.3

GitHub Security Advisories

Community-driven vulnerability intelligence from GitHub

✓ GitHub Reviewed HIGH

Out of bounds write in TFLite

GHSA-9c78-vcq7-7vxq

Advisory Details

### Impact An attacker can craft a TFLite model that would cause a write outside of bounds of an array in TFLite. In fact, the attacker can override the linked list used by the memory allocator. This can be leveraged for an arbitrary write primitive under certain conditions. ### Patches We have patched the issue in GitHub commit [6c0b2b70eeee588591680f5b7d5d38175fd7cdf6](https://github.com/tensorflow/tensorflow/commit/6c0b2b70eeee588591680f5b7d5d38175fd7cdf6). The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, 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 Wang Xuan of Qihoo 360 AIVul Team.

Affected Packages

PyPI tensorflow
ECOSYSTEM: ≥0 <2.5.3
PyPI tensorflow
ECOSYSTEM: ≥2.6.0 <2.6.3
PyPI tensorflow
ECOSYSTEM: ≥2.7.0 <2.7.1
PyPI tensorflow-cpu
ECOSYSTEM: ≥0 <2.5.3
PyPI tensorflow-cpu
ECOSYSTEM: ≥2.6.0 <2.6.3
PyPI tensorflow-cpu
ECOSYSTEM: ≥2.7.0 <2.7.1
PyPI tensorflow-gpu
ECOSYSTEM: ≥0 <2.5.3
PyPI tensorflow-gpu
ECOSYSTEM: ≥2.6.0 <2.6.3
PyPI tensorflow-gpu
ECOSYSTEM: ≥2.7.0 <2.7.1

CVSS Scoring

CVSS Score

7.5

CVSS Vector

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

References

WEB https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9c78-vcq7-7vxq
ADVISORY https://nvd.nist.gov/vuln/detail/CVE-2022-23561
WEB https://github.com/tensorflow/tensorflow/commit/6c0b2b70eeee588591680f5b7d5d38175fd7cdf6
WEB https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-70.yaml
WEB https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-125.yaml
WEB https://github.com/tensorflow/tensorflow

Advisory provided by GitHub Security Advisory Database. Published: February 9, 2022, Modified: November 13, 2024

References

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9c78-vcq7-7vxq
https://github.com/tensorflow/tensorflow/commit/6c0b2b70eeee588591680f5b7d5d38175fd7cdf6
Published: 2022-02-04T22:32:46.000Z
Last Modified: 2025-04-23T19:07:29.089Z
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