Improper input validation in Google Tensorflow
CVE-2020-15203
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, by controlling the `fill` argument of tf.strings.as_string, a malicious attacker is able to trigger a format string vulnerability due to the way the internal format use in a `printf` call is constructed. This may result in segmentation fault. The issue is patched in commit 33be22c65d86256e6826666662e40dbdfe70ee83, 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 (58.1th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 7.5 (High). Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H.
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)
- security-advisories@github.com (x_refsource_CONFIRM, Exploit, Third Party Advisory)
- security-advisories@github.com (Patch, Third Party Advisory, x_refsource_MISC)
- security-advisories@github.com (vendor-advisory, Mailing List, Third Party Advisory, x_refsource_SUSE)
Frequently asked questions
- What is CVE-2020-15203?
- CVE-2020-15203 is a high-severity vulnerability in Google Tensorflow, classified under Improper Input Validation. CVSS score: 7.5/10. Published 2020-09-25.
- How severe is CVE-2020-15203?
- High severity. CVSS v3 base score is 7.5 out of 10.