VulnerabilityModified

CVE-2020-15203

HIGH 7.5EPSS 0.97%

Does this matter?

High impact if exploited, but EPSS currently rates exploitation as unlikely (0.97%). Schedule it in the normal patch cycle and watch for a rise in EPSS or a public exploit.

Description

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.

CVSS 3.1: 7.5 HIGHCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
EPSS: 0.97% probability · 60th percentile
CISA KEV: Not listed
Weakness: CWE-20, CWE-134
Affected: google/tensorflow · opensuse/leap
Source: security-advisories@github.com

References

http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.htmlMailing List, Third Party Advisory
https://github.com/tensorflow/tensorflow/commit/33be22c65d86256e6826666662e40dbdfe70ee83Patch, Third Party Advisory
https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1Third Party Advisory
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xmq7-7fxm-rr79Exploit, Third Party Advisory
http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.htmlMailing List, Third Party Advisory
https://github.com/tensorflow/tensorflow/commit/33be22c65d86256e6826666662e40dbdfe70ee83Patch, Third Party Advisory
https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1Third Party Advisory
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xmq7-7fxm-rr79Exploit, Third Party Advisory

Source: NVD record, EPSS from FIRST.org, KEV from CISA. Refreshed daily.