Back to Database
Status published
Medium
CVE-2020-26270
CHECK-fail in LSTM with zero-length input in TensorFlow
Vulnerability Description
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.
Impact Analysis
Refer to official advisory for detailed impact metrics.
Remediation
Ensure systems are updated to the latest vendor-supplied patch levels.
THREAT MONITOR
Am I Vulnerable?
Launch our assessment wizard to check if your infrastructure is exposed to • CVE-2020-26270
Credits & Attribution
No credits recorded in the NVD database.
References
More from tensorflow
View All →CVE-2024-3660
Arbitrary code injection vulnerability in Keras framework < 2.13
Unknown
0
CVE-2023-33976
TensorFlow segfault in array_ops.upper_bound
High
7.5
CVE-2023-27579
TensorFlow has Floating Point Exception in TFLite in conv kernel
High
7.5
CVE-2023-25801
TensorFlow has double free in Fractional(Max/Avg)Pool
High
8
CVE-2023-25676
TensorFlow has null dereference on ParallelConcat with XLA
High
7.5
Affected Vendor
tensorflow
View all reports →Affected Software
tensorflow
Vulnerable Versions:
< 1.15.5, >= 2.0.0, < 2.0.4, >= 2.1.0, < 2.1.3, >= 2.2.0, < 2.2.2, >= 2.3.0, < 2.3.2
Timeline
Official Publish:
December 10th, 2020
Last Modified:
August 4th, 2024
Added to House:
July 21st, 2026
CVSS Vectors
V3:
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L