CVE-2020-26270

CHECK-fail in LSTM with zero-length input in TensorFlow

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.

Category

4.4
CVSS
Severity: Medium
CVSS 3.1 •
CVSS 2.0 •
EPSS 0.05%
Third-Party Advisory github.com Third-Party Advisory github.com
Affected: tensorflow tensorflow
Published at:
Updated at:

References

Link Tags
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m648-33qf-v3gp third party advisory patch
https://github.com/tensorflow/tensorflow/commit/14755416e364f17fb1870882fa778c7fec7f16e3 third party advisory patch

Frequently Asked Questions

What is the severity of CVE-2020-26270?
CVE-2020-26270 has been scored as a medium severity vulnerability.
How to fix CVE-2020-26270?
To fix CVE-2020-26270, make sure you are using an up-to-date version of the affected component(s) by checking the vendor release notes. As for now, there are no other specific guidelines available.
Is CVE-2020-26270 being actively exploited in the wild?
As for now, there are no information to confirm that CVE-2020-26270 is being actively exploited. According to its EPSS score, there is a ~0% probability that this vulnerability will be exploited by malicious actors in the next 30 days.
What software or system is affected by CVE-2020-26270?
CVE-2020-26270 affects tensorflow tensorflow.
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