Improper input validation in Google Tensorflow
CVE-2020-15194
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `SparseFillEmptyRowsGrad` implementation has incomplete validation of the shapes of its arguments. Although `reverse_index_map_t` and `grad_values_t` are accessed in a similar pattern, only `reverse_index_map_t` is validated to be of proper shape. Hence, malicious users can pass a bad `grad_values_t` to trigger an assertion failure in `vec`, causing denial of service in serving installations. The issue is patched in commit 390611e0d45c5793c7066110af37c8514e6a6c54, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1."
Vulnerability class: Drupalgeddon 2 (CVE-2018-7600)
EPSS: 0.010 (60.1th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 5.3 (Medium). Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L.
Affected products
- Google Tensorflow
- Tensorflow — versions < 1.15.4, >= 2.0.0, < 2.0.3, >= 2.1.0, < 2.1.2
- Opensuse Leap — versions 15.2
Weakness classification (CWE)
References
- security-advisories@github.com (Third Party Advisory, x_refsource_MISC, Release Notes)
- security-advisories@github.com (Patch, Third Party Advisory, x_refsource_MISC)
- security-advisories@github.com (x_refsource_CONFIRM, Exploit, Patch, Third Party Advisory)
- security-advisories@github.com (vendor-advisory, Mailing List, Third Party Advisory, x_refsource_SUSE)
Frequently asked questions
- What is CVE-2020-15194?
- CVE-2020-15194 is a medium-severity vulnerability in Google Tensorflow, classified under Improper Input Validation. CVSS score: 5.3/10. Published 2020-09-25.
- How severe is CVE-2020-15194?
- Medium severity. CVSS v3 base score is 5.3 out of 10.