CVE-2022-35990

Summary

TensorFlow is an open source platform for machine learning. When tf.quantization.fake_quant_with_min_max_vars_per_channel_gradient receives input min or max of rank other than 1, it gives a CHECK fail that can trigger a denial of service attack. We have patched the issue in GitHub commit f3cf67ac5705f4f04721d15e485e192bb319feed. 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.

Affected Software

Weaknesses

• CWE-617: CWE-617: Reachable Assertion

ADP Enrichment

CVE Program Container

Additional References

• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-h7ff-cfc9-wmmh
• https://github.com/tensorflow/tensorflow/commit/f3cf67ac5705f4f04721d15e485e192bb319feed

CISA ADP Vulnrichment

• SSVC:
• Exploitation: none
  • Automatable: no
  • Technical Impact: partial

References

• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-h7ff-cfc9-wmmh
• https://github.com/tensorflow/tensorflow/commit/f3cf67ac5705f4f04721d15e485e192bb319feed

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