CVE-2020-15206: In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, changing the TensorFlow's `SavedModel` protocol buf
Summary
A vulnerability in TensorFlow (a machine learning framework) before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, and 2.3.1 allows attackers to crash systems or corrupt data by modifying a SavedModel (TensorFlow's format for storing trained models). This can disable services that use TensorFlow to run AI models for predictions.
Solution / Mitigation
Update TensorFlow to version 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1 or later, which include the patch from commit adf095206f25471e864a8e63a0f1caef53a0e3a6.
Vulnerability Details
9(critical)
EPSS: 0.5%
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-2020-15206
First tracked: February 15, 2026 at 08:38 PM
Classified by LLM (prompt v3) · confidence: 95%