CVE-2022-36017: TensorFlow is an open source platform for machine learning. If `Requantize` is given `input_min`, `input_max`, `requeste
Summary
TensorFlow, an open source platform for machine learning, has a vulnerability where a function called `Requantize` crashes when given certain types of input data (tensors of nonzero rank), allowing attackers to trigger a denial of service attack (making the system unavailable). The issue has been fixed and will be released in updated versions of the software.
Solution / Mitigation
The fix is included in TensorFlow 2.10.0. The patch will also be applied to TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2. Users should upgrade to one of these patched versions. There are no known workarounds for this issue.
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-2022-36017
First tracked: February 15, 2026 at 08:41 PM
Classified by LLM (prompt v3) · confidence: 95%