Low severity · published Dec 10, 2020
CVE-2020-26270
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
3.3
CVSS
0.2%
EPSS
No
On KEV
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.
CVSS vector
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L
Attack vector
Local
Complexity
Low
Privileges
Low
User interaction
None
Confidentiality
None
Integrity
None
Availability
Low
Scope
Unchanged
Exploitation
Is it being used?
Exploit prediction (EPSS)0.2% · higher than 7% of CVEs
Exploited in the wildNo evidence yet
CISA KEVNot listed
Ransomware campaign useNot known
Affected products
Which versions
TE
Tensorflow · Google
before 1.15.5; 2.0.0 before 2.0.4; 2.1.0 before 2.1.3; 2.2.0 before 2.2.2; 2.3.0 before 2.3.2 · source: NVD
References
NVD
https://nvd.nist.gov/vuln/detail/CVE-2020-26270
CVE.org
https://www.cve.org/CVERecord?id=CVE-2020-26270
Patch
https://github.com/tensorflow/tensorflow/commit/14755416e364f17fb1870882fa778c7fec7f16e3
Patch
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m648-33qf-v3gp
More from Tensorflow
9.9
CVE-2020-15196
In Tensorflow version 2.3.0, the `SparseCountSparseOutput` and `RaggedCountSparseOutput` implementations don't validate that the `weights` tensor has the same shape as the data
9.8
CVE-2023-25668
TensorFlow is an open source platform for machine learning
9.8
CVE-2023-25664
TensorFlow is an open source platform for machine learning
9.8
CVE-2022-41900
TensorFlow is an open source platform for machine learning
9.8
CVE-2022-35939
TensorFlow is an open source platform for machine learning