BIT-tensorflow-2022-35973

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Import Source
https://github.com/bitnami/vulndb/tree/main/data/tensorflow/BIT-tensorflow-2022-35973.json
JSON Data
https://api.osv.dev/v1/vulns/BIT-tensorflow-2022-35973
Aliases
Published
2024-03-06T11:13:38.492Z
Modified
2024-03-06T11:25:28.861Z
Summary
[none]
Details

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.

References

Affected packages

Bitnami / tensorflow

Package

Name
tensorflow
Purl
pkg:bitnami/tensorflow

Severity

  • 7.5 (High) CVSS_V3 - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H CVSS Calculator

Affected ranges

Type
SEMVER
Events
Introduced
2.7.0
Fixed
2.7.2
Introduced
2.8.0
Fixed
2.8.1
Introduced
2.9.0
Fixed
2.9.1