Vulnerability Details : CVE-2022-23567

Tensorflow is an Open Source Machine Learning Framework. The implementations of `Sparse*Cwise*` ops are vulnerable to integer overflows. These can be used to trigger large allocations (so, OOM based denial of service) or `CHECK`-fails when building new `TensorShape` objects (so, assert failures based denial of service). We are missing some validation on the shapes of the input tensors as well as directly constructing a large `TensorShape` with user-provided dimensions. 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 2022-02-03 12:15:08
Updated 2022-02-09 03:23:03
Source GitHub, Inc.
View at NVD,   CVE.org
Vulnerability category: OverflowDenial of service

Exploit prediction scoring system (EPSS) score for CVE-2022-23567

EPSS FAQ
0.23%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 61 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2022-23567

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Score Source First Seen
4.0
 MEDIUM AV:N/AC:L/Au:S/C:N/I:N/A:P
8.0
2.9
 NIST
6.5
 MEDIUM CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
2.8
3.6
 NIST
6.5
 MEDIUM CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
2.8
3.6
 GitHub, Inc.

CWE ids for CVE-2022-23567

  • 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 occurs when an integer value is incremented to a value that is too large to store in the associated representation. When this occurs, the value may become a very small or negative number.
    Assigned by: nvd@nist.gov (Primary)

References for CVE-2022-23567

Products affected by CVE-2022-23567

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