In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `tf.raw_ops.Switch` operation takes as input a tensor and a boolean and outputs two tensors. Depending on the boolean value, one of the tensors is exactly the input tensor whereas the other one should be an empty tensor. However, the eager runtime traverses all tensors in the output. Since only one of the tensors is defined, the other one is `nullptr`, hence we are binding a reference to `nullptr`. This is undefined behavior and reported as an error if compiling with `-fsanitize=null`. In this case, this results in a segmentation fault The issue is patched in commit da8558533d925694483d2c136a9220d6d49d843c, 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 19:15:14
Updated 2021-11-18 17:18:15
Source GitHub, Inc.
View at NVD,   CVE.org
Vulnerability category: Memory CorruptionInput validation

Products affected by CVE-2020-15190

Exploit prediction scoring system (EPSS) score for CVE-2020-15190

0.23%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 61 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2020-15190

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
5.3
MEDIUM CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
3.9
1.4
NIST
5.3
MEDIUM CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
3.9
1.4
GitHub, Inc.

CWE ids for CVE-2020-15190

  • 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 (Primary)
  • The product dereferences a pointer that it expects to be valid but is NULL.
    Assigned by:
    • nvd@nist.gov (Secondary)
    • security-advisories@github.com (Primary)

References for CVE-2020-15190

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