Vulnerability Details : CVE-2022-35965

TensorFlow is an open source platform for machine learning. If `LowerBound` or `UpperBound` is given an empty`sorted_inputs` input, it results in a `nullptr` dereference, leading to a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bce3717eaef4f769019fd18e990464ca4a2efeea. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Published 2022-09-16 21:15:09
Updated 2022-09-20 20:10:05
Source GitHub, Inc.
View at NVD,   CVE.org
Vulnerability category: Denial of service

Products affected by CVE-2022-35965

Exploit prediction scoring system (EPSS) score for CVE-2022-35965

EPSS FAQ
0.17%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 36 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2022-35965

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
5.9
 MEDIUM CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
2.2
3.6
 GitHub, Inc.

CWE ids for CVE-2022-35965

  • The product dereferences a pointer that it expects to be valid but is NULL.
    Assigned by: security-advisories@github.com (Primary)

References for CVE-2022-35965

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