Tensorflow
CVE-2020-26270
LOW
Severity by source
AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L
Primary rating from NVD · only source for this CVE.
CVSS VectorNVD
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L
Lifecycle Timeline
1Blast Radius
ecosystem impact- 46 pypi packages depend on tensorflow (41 direct, 5 indirect)
- 11 pypi packages depend on tensorflow-gpu (11 direct, 0 indirect)
Ecosystem-wide dependent count for version 2.0.0 and other introduced versions.
DescriptionNVD
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.
AnalysisAI
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. Rated low severity (CVSS 3.3), this vulnerability is low attack complexity.
Technical ContextAI
This vulnerability is classified under CWE-20. 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. Affected products include: Google Tensorflow.
RemediationAI
A vendor patch is available. Apply the latest security update as soon as possible. Apply vendor patches when available. Implement network segmentation and monitoring as interim mitigations.
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Same weakness CWE-20 – Improper Input Validation
View allSame technique Denial Of Service
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External POC / Exploit Code
Leaving vuln.today