CVE-2022-35979: TensorFlow segfault in QuantizedRelu and QuantizedRelu6 from nonscalar inputs

Summary

TensorFlow's QuantizedRelu and QuantizedRelu6 operations crash with a segfault when given nonscalar inputs for min_features or max_features. An attacker can use this crash to trigger a denial of service. The issue is tracked as CVE-2022-35979.

Mitigation

Fixed in GitHub commit 49b3824d83af706df0ad07e4e677d88659756d89. The fix will be included in TensorFlow 2.10.0 and cherry-picked to TensorFlow 2.9.1, 2.8.1, and 2.7.2.

Affected packages in the Exposure Registry

Matched by package name and ecosystem. Each entry shows whether the package delegates to a language model and how many tracked packages depend on it.

• tensorflowPyPINo LLM dependency detected · 26 tracked dependents
• tensorflow-gpuPyPINo LLM dependency detected · 2 tracked dependents

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