CVE-2022-36003: TensorFlow is an open source platform for machine learning. When `RandomPoissonV2` receives large input shape and rates,
Summary
TensorFlow (an open source machine learning platform) has a vulnerability in its `RandomPoissonV2` function where large input values can cause a CHECK fail (a safety check that stops execution), allowing attackers to trigger a denial of service attack (making the system unavailable). The vulnerability affects multiple versions of TensorFlow.
Solution / Mitigation
The issue has been patched in GitHub commit 552bfced6ce4809db5f3ca305f60ff80dd40c5a3. The fix is included in TensorFlow 2.10.0 and will be backported (applied to older versions) in TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2. 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-2022-36003
First tracked: February 15, 2026 at 08:41 PM
Classified by LLM (prompt v3) · confidence: 95%