Vulnerability Details : CVE-2022-41896

Potential exploit
TensorFlow is an open source platform for machine learning. If `ThreadUnsafeUnigramCandidateSampler` is given input `filterbank_channel_count` greater than the allowed max size, TensorFlow will crash. We have patched the issue in GitHub commit 39ec7eaf1428e90c37787e5b3fbd68ebd3c48860. 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 22:15:19
Updated 2023-07-10 16:36:09
Source GitHub, Inc.
View at NVD,   CVE.org
Vulnerability category: Input validation

Products affected by CVE-2022-41896

Exploit prediction scoring system (EPSS) score for CVE-2022-41896

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

CVSS scores for CVE-2022-41896

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-2022-41896

  • 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 receives input that is expected to specify a quantity (such as size or length), but it does not validate or incorrectly validates that the quantity has the required properties.
    Assigned by: nvd@nist.gov (Primary)

References for CVE-2022-41896

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