CVE-2022-35988: TensorFlow is an open source platform for machine learning. When `tf.linalg.matrix_rank` receives an empty input `a`, th
Summary
TensorFlow (an open source platform for machine learning) has a vulnerability in its `tf.linalg.matrix_rank` function, which crashes when given an empty input. An attacker could exploit this crash to cause a denial of service attack (making the system unavailable by overwhelming it with requests or triggering failures).
Solution / Mitigation
The issue has been patched in GitHub commit c55b476aa0e0bd4ee99d0f3ad18d9d706cd1260a. The fix will be included in TensorFlow 2.10.0 and will be backported to 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
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-2022-35988
First tracked: February 15, 2026 at 08:41 PM
Classified by LLM (prompt v3) · confidence: 95%