Vulnerability Details : CVE-2022-23559

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in embedding lookup operations. Both `embedding_size` and `lookup_size` are products of values provided by the user. Hence, a malicious user could trigger overflows in the multiplication. In certain scenarios, this can then result in heap OOB read/write. Users are advised to upgrade to a patched version.
Published 2022-02-04 23:15:14
Updated 2022-02-09 18:53:03
Source GitHub, Inc.
View at NVD,   CVE.org
Vulnerability category: Overflow

Products affected by CVE-2022-23559

Exploit prediction scoring system (EPSS) score for CVE-2022-23559

EPSS FAQ
0.50%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 77 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2022-23559

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Score Source First Seen
6.5
 MEDIUM AV:N/AC:L/Au:S/C:P/I:P/A:P
8.0
6.4
 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
 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-2022-23559

  • 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)
    • security-advisories@github.com (Secondary)

References for CVE-2022-23559

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