CVE-2022-35972: TensorFlow is an open source platform for machine learning. If `QuantizedBiasAdd` is given `min_input`, `max_input`, `mi
Summary
TensorFlow, an open source machine learning platform, has a vulnerability in its `QuantizedBiasAdd` function that crashes when given certain tensor inputs of nonzero rank (multi-dimensional arrays), allowing attackers to launch a denial of service attack (making the system unavailable). The developers have identified and patched the issue.
Solution / Mitigation
The fix is included in TensorFlow 2.10.0 and will also be backported to TensorFlow 2.9.1, 2.8.1, and 2.7.2. Users should update to one of these patched versions.
Vulnerability Details
5.9(medium)
EPSS: 0.1%
Classification
Taxonomy References
Affected Vendors
Related Issues
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Original source: https://nvd.nist.gov/vuln/detail/CVE-2022-35972
First tracked: February 15, 2026 at 08:41 PM
Classified by LLM (prompt v3) · confidence: 95%