CVE-2022-36019: TensorFlow is an open source platform for machine learning. If `FakeQuantWithMinMaxVarsPerChannel` is given `min` or `ma
Summary
TensorFlow (an open source machine learning platform) has a vulnerability where a specific function called `FakeQuantWithMinMaxVarsPerChannel` crashes when given certain types of input data, allowing attackers to cause a denial of service attack (making the system stop working). The developers have fixed the bug in their code.
Solution / Mitigation
The fix is included in TensorFlow 2.10.0, and will also be patched in earlier versions 2.9.1, 2.8.1, and 2.7.2. Users should update to one of these versions or later.
Vulnerability Details
5.9(medium)
EPSS: 0.1%
Classification
Taxonomy References
Affected Vendors
Related Issues
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CVE-2021-29541: TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a dereference of a null p
Original source: https://nvd.nist.gov/vuln/detail/CVE-2022-36019
First tracked: February 15, 2026 at 08:41 PM
Classified by LLM (prompt v3) · confidence: 95%