Integer overflow in Google Tensorflow

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.

Vulnerability class: Integer Overflow

Published · last modified .

CVSS v3 metric

CVSS v3 base score 8.8 (High). Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H.

EPSS exploit prediction

EPSS: 0.012 (66.5th percentile), scored .

Low probability of exploitation in the next 30 days, but still tracked. 67th percentile — 66.5% of CVEs in the catalogue have a lower EPSS than this one. How to read EPSS.

EPSS trend (30 days)EPSS over the last 30 days for CVE-2022-23559: held from 0.012 to 0.012.

EPSS over last 30 days · oldest: 0.012 · newest: 0.012 · change: +0.000

Affected products

Weakness classification (CWE)

References

Frequently asked questions

What is CVE-2022-23559?
CVE-2022-23559 is a high-severity vulnerability in Google Tensorflow, classified under Integer Overflow or Wraparound. CVSS score: 8.8/10. Published 2022-02-04.
How severe is CVE-2022-23559?
High severity. CVSS v3 base score is 8.8 out of 10.