Vulnerability Details : CVE-2022-23561

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.
Published 2022-02-04 23:15:14
Updated 2022-02-09 18:13:41
Source GitHub, Inc.
View at NVD,   CVE.org
Vulnerability category: Memory Corruption

Exploit prediction scoring system (EPSS) score for CVE-2022-23561

EPSS FAQ
0.10%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 42 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2022-23561

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Score Source First Seen
6.5
 MEDIUM AV:N/AC:L/Au:S/C:P/I:P/A:P
8.0
6.4
 NIST
8.8
 HIGH CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
2.8
5.9
 NIST
8.8
 HIGH CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
2.8
5.9
 GitHub, Inc.

CWE ids for CVE-2022-23561

  • The product writes data past the end, or before the beginning, of the intended buffer.
    Assigned by: security-advisories@github.com (Primary)

References for CVE-2022-23561

Products affected by CVE-2022-23561

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