In affected versions of TensorFlow running an LSTM/GRU model where the LSTM/GRU layer receives an input with zero-length results in a CHECK failure when using the CUDA backend. This can result in a query-of-death vulnerability, via denial of service, if users can control the input to the layer. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.
Published 2020-12-10 23:15:13
Updated 2020-12-14 17:33:30
Source GitHub, Inc.
View at NVD,   CVE.org
Vulnerability category: Input validationDenial of service

Exploit prediction scoring system (EPSS) score for CVE-2020-26270

0.04%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 10 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2020-26270

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Score Source First Seen
2.1
LOW AV:L/AC:L/Au:N/C:N/I:N/A:P
3.9
2.9
NIST
3.3
LOW CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L
1.8
1.4
NIST
4.4
MEDIUM CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L
1.8
2.5
GitHub, Inc.

CWE ids for CVE-2020-26270

  • 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:
    • nvd@nist.gov (Primary)
    • security-advisories@github.com (Secondary)

References for CVE-2020-26270

Products affected by CVE-2020-26270

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