CVE-2022-21737: Tensorflow is an Open Source Machine Learning Framework. The implementation of `*Bincount` operations allows malicious u
Summary
TensorFlow (an open-source machine learning framework) has a vulnerability in its Bincount operations that allows attackers to crash the system (denial of service) by sending specially crafted arguments that trigger internal safety checks to fail. The problem occurs because some invalid input conditions aren't caught early enough during the system's processing stages, leading to crashes when the system tries to allocate memory for output data.
Solution / Mitigation
The fix will be included in TensorFlow 2.8.0. The fix will also be backported (applied to older versions) in TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3.
Vulnerability Details
6.5(medium)
EPSS: 0.2%
Classification
Affected Vendors
Related Issues
CVE-2022-29200: TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implem
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-2022-21737
First tracked: February 15, 2026 at 08:40 PM
Classified by LLM (prompt v3) · confidence: 95%