CVE-2022-23591

Summary

Tensorflow is an Open Source Machine Learning Framework. The GraphDef format in TensorFlow does not allow self recursive functions. The runtime assumes that this invariant is satisfied. However, a GraphDef containing a fragment such as the following can be consumed when loading a SavedModel. This would result in a stack overflow during execution as resolving each NodeDef means resolving the function itself and its nodes. 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.

Affected Software

Weaknesses

• CWE-400: CWE-400: Uncontrolled Resource Consumption

ADP Enrichment

CVE Program Container

Additional References

• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-247x-2f9f-5wp7
• https://github.com/tensorflow/tensorflow/commit/448a16182065bd08a202d9057dd8ca541e67996c

CISA ADP Vulnrichment

• SSVC:
• Exploitation: none
  • Automatable: yes
  • Technical Impact: partial

References

• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-247x-2f9f-5wp7
• https://github.com/tensorflow/tensorflow/commit/448a16182065bd08a202d9057dd8ca541e67996c

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