TensorFlow is an open source platform for machine learning. Inputs `dense_features` or `example_state_data` not of rank 2 will trigger a `CHECK` fail in `SdcaOptimizer`. We have patched the issue in GitHub commit 80ff197d03db2a70c6a111f97dcdacad1b0babfa. 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 22:15:20
Updated 2023-07-10 16:18:36
Source GitHub, Inc.
View at NVD,   CVE.org
Vulnerability category: Input validation

Products affected by CVE-2022-41899

Exploit prediction scoring system (EPSS) score for CVE-2022-41899

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-2022-41899

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-2022-41899

  • 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-2022-41899

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