Deserialization in Google Tensorflow
CVE-2021-37678
TensorFlow is an end-to-end open source platform for machine learning. In affected versions TensorFlow and Keras can be tricked to perform arbitrary code execution when deserializing a Keras model from YAML format. The [implementation](htt…
Vulnerability class: Insecure Deserialization
EPSS: 0.005 (36.5th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 9.3 (Critical). Vector: CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H.
Affected products
- Google Tensorflow — versions 2.5.0, 2.6.0
- Tensorflow — versions >= 2.5.0, < 2.5.1, >= 2.4.0, < 2.4.3, < 2.3.4
Weakness classification (CWE)
Public proof-of-concept exploits
References
- security-advisories@github.com (x_refsource_CONFIRM, Third Party Advisory)
- security-advisories@github.com (Patch, Third Party Advisory, x_refsource_MISC)
Frequently asked questions
- What is CVE-2021-37678?
- CVE-2021-37678 is a critical-severity vulnerability in Google Tensorflow, classified under Deserialization of Untrusted Data. CVSS score: 9.3/10. Published 2021-08-12.
- How severe is CVE-2021-37678?
- Critical severity. CVSS v3 base score is 9.3 out of 10.
- Is CVE-2021-37678 known to be exploited?
- 5 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.