CVE-2022-35999: TensorFlow is an open source platform for machine learning. When `Conv2DBackpropInput` receives empty `out_backprop` inp
Summary
TensorFlow (an open source platform for machine learning) has a vulnerability where a function called `Conv2DBackpropInput` crashes when it receives empty input arrays, allowing attackers to cause a denial of service attack (making the system unavailable). The issue affects both CPU and GPU processing and has been patched in the codebase.
Solution / Mitigation
The fix is included in TensorFlow 2.10.0 and will be backported to TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2. Users should update to one of these patched versions. 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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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-2022-35999
First tracked: February 15, 2026 at 08:41 PM
Classified by LLM (prompt v3) · confidence: 95%