CVE-2022-35987: TensorFlow is an open source platform for machine learning. `DenseBincount` assumes its input tensor `weights` to either
Summary
TensorFlow, an open source platform for machine learning, has a vulnerability in its `DenseBincount` function where it doesn't properly check if the `weights` input tensor (a data structure holding numbers) has the correct shape, allowing attackers to crash the program through a denial of service attack (making a system unavailable by overwhelming it).
Solution / Mitigation
The issue has been patched in GitHub commit bf4c14353c2328636a18bfad1e151052c81d5f43 and will be included in TensorFlow 2.10.0. The fix will also be included in earlier versions: TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2.
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-2022-35987
First tracked: February 15, 2026 at 08:41 PM
Classified by LLM (prompt v3) · confidence: 95%