Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow is vulnerable to an integer overflow during cost estimation for crop and resize. Since the cropping parameters are user controlled, a malicious person can trigger undefined behavior. 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 23:15:15
Updated 2022-02-10 17:38:55
Source GitHub, Inc.
View at NVD,   CVE.org
Vulnerability category: Overflow

Exploit prediction scoring system (EPSS) score for CVE-2022-23587

0.30%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 69 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2022-23587

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Score Source First Seen
7.5
HIGH AV:N/AC:L/Au:N/C:P/I:P/A:P
10.0
6.4
NIST
9.8
CRITICAL CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
3.9
5.9
NIST
8.8
HIGH CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
2.8
5.9
GitHub, Inc.

CWE ids for CVE-2022-23587

  • The product performs a calculation that can produce an integer overflow or wraparound, when the logic assumes that the resulting value will always be larger than the original value. This can introduce other weaknesses when the calculation is used for resource management or execution control.
    Assigned by:
    • nvd@nist.gov (Primary)
    • security-advisories@github.com (Secondary)

References for CVE-2022-23587

Products affected by CVE-2022-23587

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