Tensorflow is an Open Source Machine Learning Framework. When decoding a tensor from protobuf, a TensorFlow process can encounter cases where a `CHECK` assertion is invalidated based on user controlled arguments, if the tensors have an invalid `dtype` and 0 elements or an invalid shape. This allows attackers to cause denial of services in TensorFlow processes. 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 2022-02-10 16:08:51
Source GitHub, Inc.
View at NVD,   CVE.org

Exploit prediction scoring system (EPSS) score for CVE-2022-23571

0.08%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 31 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2022-23571

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Score Source First Seen
4.0
MEDIUM AV:N/AC:L/Au:S/C:N/I:N/A:P
8.0
2.9
NIST
6.5
MEDIUM CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
2.8
3.6
NIST
6.5
MEDIUM CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
2.8
3.6
GitHub, Inc.

CWE ids for CVE-2022-23571

  • The product contains an assert() or similar statement that can be triggered by an attacker, which leads to an application exit or other behavior that is more severe than necessary.
    Assigned by:
    • nvd@nist.gov (Primary)
    • security-advisories@github.com (Secondary)

References for CVE-2022-23571

Products affected by CVE-2022-23571

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