Improper input validation in Tensorflow
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 buffer and altering the name of required keys results in segfaults and data corruption while loading the model. This can c…
Vulnerability class: Drupalgeddon 2 (CVE-2018-7600)
EPSS: 0.005 (65.1th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 9.0 (Critical). Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H.
Affected products
- Tensorflow — versions < 1.15.4, >= 2.0.0, < 2.0.3, >= 2.1.0, < 2.1.2
Weakness classification (CWE)
References
- github.com/tensorflow/tensorflow/releases/tag/v2.3.1 (x_refsource_MISC)
- github.com/tensorflow/tensorflow/security/advisories/GHSA-w5gh-2wr2-pm6g (x_refsource_CONFIRM)
- github.com/tensorflow/tensorflow/commit/adf095206f25471e864a8e63a0f1caef53a0e3a6 (x_refsource_MISC)
- openSUSE-SU-2020:1766 (vendor-advisory, x_refsource_SUSE)
Frequently asked questions
- What is CVE-2020-15206?
- CVE-2020-15206 is a critical-severity vulnerability in Tensorflow, classified under Improper Input Validation. CVSS score: 9.0/10. Published 2020-09-25.
- How severe is CVE-2020-15206?
- Critical severity. CVSS v3 base score is 9.0 out of 10.