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.
References
Link | Resource |
---|---|
https://github.com/tensorflow/tensorflow/commit/14755416e364f17fb1870882fa778c7fec7f16e3 | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m648-33qf-v3gp | Patch Third Party Advisory |
History
No history.
MITRE Information
Status: PUBLISHED
Assigner: GitHub_M
Published: 2020-12-10T22:10:23
Updated: 2020-12-10T22:10:23
Reserved: 2020-10-01T00:00:00
Link: CVE-2020-26270
JSON object: View
NVD Information
Status : Analyzed
Published: 2020-12-10T23:15:12.973
Modified: 2020-12-14T17:33:30.010
Link: CVE-2020-26270
JSON object: View
Redhat Information
No data.
CWE