CVE-2022-41897: TensorFlow is an open source platform for machine learning. If `FractionMaxPoolGrad` is given outsize inputs `row_poolin
mediumvulnerability
security
Summary
TensorFlow (an open-source machine learning platform) crashes when a function called `FractionMaxPoolGrad` receives oversized inputs for `row_pooling_sequence` and `col_pooling_sequence` parameters. This is caused by an out-of-bounds read (accessing memory locations outside the intended range), which allows the program to fail unexpectedly.
Solution / Mitigation
The patch is available in GitHub commit d71090c3e5ca325bdf4b02eb236cfb3ee823e927. Users should upgrade to TensorFlow 2.11, or apply the patch to supported earlier versions: 2.10.1, 2.9.3, and 2.8.4.
Vulnerability Details
CVSS Score
4.8(medium)
EPSS (30-day exploit probability)
EPSS: 0.1%
Classification
Attack SophisticationTrivial
Impact (CIA+S)
availability
AI Component TargetedFramework
Affected Vendors
Original source: https://nvd.nist.gov/vuln/detail/CVE-2022-41897
First tracked: February 15, 2026 at 08:41 PM
Classified by LLM (prompt v3) · confidence: 95%