Improper input validation in Google Tensorflow
CVE-2020-15192
In Tensorflow before versions 2.2.1 and 2.3.1, if a user passes a list of strings to `dlpack.to_dlpack` there is a memory leak following an expected validation failure. The issue occurs because the `status` argument during validation failures is not properly checked. Since each of the above methods can return an error status, the `status` value must be checked before continuing. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1.
Vulnerability class: Drupalgeddon 2 (CVE-2018-7600)
EPSS: 0.008 (54.0th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 4.3 (Medium). Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L.
Affected products
- Google Tensorflow — versions 2.2.0, 2.3.0
- Tensorflow — versions = 2.2.0, = 2.3.0
- Opensuse Leap — versions 15.2
Weakness classification (CWE)
Public proof-of-concept exploits
References
- security-advisories@github.com (Third Party Advisory, x_refsource_MISC)
- security-advisories@github.com (Patch, Third Party Advisory, x_refsource_MISC)
- security-advisories@github.com (x_refsource_CONFIRM, Exploit, Third Party Advisory)
- security-advisories@github.com (vendor-advisory, Mailing List, Third Party Advisory, x_refsource_SUSE)
Frequently asked questions
- What is CVE-2020-15192?
- CVE-2020-15192 is a medium-severity vulnerability in Google Tensorflow, classified under Improper Input Validation. CVSS score: 4.3/10. Published 2020-09-25.
- How severe is CVE-2020-15192?
- Medium severity. CVSS v3 base score is 4.3 out of 10.
- Is CVE-2020-15192 known to be exploited?
- 1 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.