CVE-2021-29531: TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a `CHECK` fail in PNG enc
Summary
TensorFlow has a vulnerability where an attacker can crash the system by sending an empty image tensor to the PNG encoding function. The code only checks if the total pixels overflow, but doesn't validate that the image actually contains data, so passing an empty matrix causes a null pointer (a reference to nothing in memory) that crashes the program in a denial of service attack (making the service unavailable).
Solution / Mitigation
The fix will be included in TensorFlow 2.5.0. The fix will also be applied to TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3, and TensorFlow 2.1.4, which are still in the supported range.
Vulnerability Details
2.5(low)
EPSS: 0.0%
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-2021-29531
First tracked: February 15, 2026 at 08:38 PM
Classified by LLM (prompt v3) · confidence: 95%