CVE-2022-35973

unknown

Published 2022-09-16 · Modified 2023-12-06

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CVSS v3

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CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H

CVSS v4 NEW

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not yet in upstream

VIR risk

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Description

TensorFlow is an open source platform for machine learning. If `QuantizedMatMul` is given nonscalar input for: `min_a`, `max_a`, `min_b`, or `max_b` It gives a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit aca766ac7693bf29ed0df55ad6bfcc78f35e7f48. 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.

Predictions

Exploit likelihood

30%

Patch ETA

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Heuristic predictions, AS-IS, for prioritization only.

Mitigations

No mitigations published for this CVE yet.

The vendor-content worker queues fetches as references arrive (check back in a few minutes). Or — if you've already worked around this in production — publish your fix to the community-verified tier.

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OS impact

Debian Fixed 2 releases

Version	Status	Fixed in
sid	Fixed	`0`
forky	Fixed	`0`

Package impact

Ecosystem	Package	Vulnerable	Fixed
PyPI	tensorflow	`>=2.8.0,<2.8.1`	`2.8.1`
PyPI	tensorflow	`>=2.9.0,<2.9.1`	`2.9.1`
PyPI	tensorflow-cpu	`<2.7.2`	`2.7.2`
PyPI	tensorflow-cpu	`>=2.8.0,<2.8.1`	`2.8.1`
PyPI	tensorflow-cpu	`>=2.9.0,<2.9.1`	`2.9.1`
PyPI	tensorflow-gpu	`<2.7.2`	`2.7.2`
PyPI	tensorflow-gpu	`>=2.8.0,<2.8.1`	`2.8.1`
PyPI	tensorflow-gpu	`>=2.9.0,<2.9.1`	`2.9.1`
PyPI	tensorflow	`<2.7.2`	`2.7.2`

References

Community-verified mitigations for this CVE will appear above when contributors publish them.

Verify integrity in audit chain (admin only). AS-IS.