Vulnerability Details : 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.
Published 2020-09-25 19:15:16
Updated 2021-11-18 17:26:58
Source GitHub, Inc.
View at NVD,   CVE.org
Vulnerability category: OverflowMemory CorruptionInput validation

Exploit prediction scoring system (EPSS) score for CVE-2020-15203

EPSS FAQ
0.26%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 65 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2020-15203

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Score Source First Seen
5.0
 MEDIUM AV:N/AC:L/Au:N/C:N/I:N/A:P
10.0
2.9
 NIST
7.5
 HIGH CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
3.9
3.6
 NIST
7.5
 HIGH CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
3.9
3.6
 GitHub, Inc.

CWE ids for CVE-2020-15203

  • The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.
    Assigned by: security-advisories@github.com (Secondary)
  • The product uses a function that accepts a format string as an argument, but the format string originates from an external source.
    Assigned by: nvd@nist.gov (Primary)

References for CVE-2020-15203

Products affected by CVE-2020-15203

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