Integer overflow in Google Tensorflow
CVE-2022-23568
Tensorflow is an Open Source Machine Learning Framework. The implementation of `AddManySparseToTensorsMap` is vulnerable to an integer overflow which results in a `CHECK`-fail when building new `TensorShape` objects (so, an assert failure 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.
Vulnerability class: Integer Overflow
Published · last modified .
CVSS v3 metric
CVSS v3 base score 6.5 (Medium). Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H.
EPSS exploit prediction
EPSS: 0.008 (55.1th percentile), scored .
Very low probability of exploitation in the next 30 days; routine patching cadence is appropriate. 55th percentile — 55.1% of CVEs in the catalogue have a lower EPSS than this one. How to read EPSS.
EPSS over last 30 days · oldest: 0.008 · newest: 0.008 · change: +0.000
Affected products
- Google Tensorflow — versions 2.7.0
Weakness classification (CWE)
References
- github.com/tensorflow/tensorflow/security/advisories/GHSA-6445-fm66-fvq2 (Patch, Third Party Advisory)
- github.com/tensorflow/tensorflow/commit/a68f68061e263a88321c104a6c911fe5598050a8 (Patch, Third Party Advisory)
- github.com/tensorflow/tensorflow/commit/b51b82fe65ebace4475e3c54eb089c18a4403f1c (Patch, Third Party Advisory)
- github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/… (Exploit, Third Party Advisory)
Frequently asked questions
- What is CVE-2022-23568?
- CVE-2022-23568 is a medium-severity vulnerability in Google Tensorflow, classified under Integer Overflow or Wraparound. CVSS score: 6.5/10. Published 2022-02-03.
- How severe is CVE-2022-23568?
- Medium severity. CVSS v3 base score is 6.5 out of 10.