Vulnerability Details : CVE-2022-41901

TensorFlow is an open source platform for machine learning. An input `sparse_matrix` that is not a matrix with a shape with rank 0 will trigger a `CHECK` fail in `tf.raw_ops.SparseMatrixNNZ`. We have patched the issue in GitHub commit f856d02e5322821aad155dad9b3acab1e9f5d693. 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.
Published 2022-11-18 22:15:21
Updated 2023-07-10 16:00:29
Source GitHub, Inc.
View at NVD,   CVE.org
Vulnerability category: Input validation

Products affected by CVE-2022-41901

Exploit prediction scoring system (EPSS) score for CVE-2022-41901

EPSS FAQ
0.09%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 39 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2022-41901

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Score Source First Seen
7.5
 HIGH CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
3.9
3.6
 NIST
4.8
 MEDIUM CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
1.2
3.6
 GitHub, Inc.

CWE ids for CVE-2022-41901

  • The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.
    Assigned by: security-advisories@github.com (Secondary)
  • 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)

References for CVE-2022-41901

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