Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would allow limited reads and writes outside of arrays in TFLite. This exploits missing validation in the conversion from sparse tensors to dense tensors. The fix is 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. Users are advised to upgrade as soon as possible.
Published 2022-02-04 23:15:14
Updated 2022-02-09 18:55:25
Source GitHub, Inc.
View at NVD,   CVE.org
Vulnerability category: Memory Corruption

Products affected by CVE-2022-23560

Exploit prediction scoring system (EPSS) score for CVE-2022-23560

0.29%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 69 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2022-23560

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-2022-23560

  • The product reads data past the end, or before the beginning, of the intended buffer.
    Assigned by: security-advisories@github.com (Primary)
  • 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-2022-23560

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