Integer overflow in Google Tensorflow

CVE-2022-35940

TensorFlow is an open source platform for machine learning. The `RaggedRangOp` function takes an argument `limits` that is eventually used to construct a `TensorShape` as an `int64`. If `limits` is a very large float, it can overflow when converted to an `int64`. This triggers an `InvalidArgument` but also throws an abort signal that crashes the program. We have patched the issue in GitHub commit 37cefa91bee4eace55715eeef43720b958a01192. 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.

Vulnerability class: Integer Overflow

EPSS: 0.006 (43.7th percentile) — read the EPSS interpretation.

CVSS v3 metric

CVSS v3 base score 5.9 (Medium). Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H.

Affected products

Weakness classification (CWE)

References

Frequently asked questions

What is CVE-2022-35940?
CVE-2022-35940 is a medium-severity vulnerability in Google Tensorflow, classified under Integer Overflow or Wraparound. CVSS score: 5.9/10. Published 2022-09-16.
How severe is CVE-2022-35940?
Medium severity. CVSS v3 base score is 5.9 out of 10.