CVE-2022-35982: TensorFlow is an open source platform for machine learning. If `SparseBincount` is given inputs for `indices`, `values`,
Summary
TensorFlow, an open source machine learning platform, has a vulnerability in the `SparseBincount` function where invalid sparse tensor (a compressed way of storing data with mostly empty values) inputs can crash the program, potentially allowing attackers to cause a denial of service attack (making the system unavailable). The issue has been patched and will be fixed in upcoming versions of TensorFlow.
Solution / Mitigation
The fix is included in TensorFlow 2.10.0 and has been cherrypicked (backported) to TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 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-2022-35982
First tracked: February 15, 2026 at 08:41 PM
Classified by LLM (prompt v3) · confidence: 95%