4.4

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. 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.

Daten sind bereitgestellt durch National Vulnerability Database (NVD)
GoogleTensorflow Version < 1.15.5
GoogleTensorflow Version >= 2.0.0 < 2.0.4
GoogleTensorflow Version >= 2.1.0 < 2.1.3
GoogleTensorflow Version >= 2.2.0 < 2.2.2
GoogleTensorflow Version >= 2.3.0 < 2.3.2
Zu dieser CVE wurde keine CISA KEV oder CERT.AT-Warnung gefunden.
EPSS Metriken
Typ Quelle Score Percentile
EPSS FIRST.org 0.02% 0.031
CVSS Metriken
Quelle Base Score Exploit Score Impact Score Vector String
nvd@nist.gov 3.3 1.8 1.4
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L
nvd@nist.gov 2.1 3.9 2.9
AV:L/AC:L/Au:N/C:N/I:N/A:P
security-advisories@github.com 4.4 1.8 2.5
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L
CWE-20 Improper Input Validation

The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.