4.4
CVE-2020-26270
- EPSS 0.02%
- Published 10.12.2020 23:15:12
- Last modified 21.11.2024 05:19:42
- Source security-advisories@github.com
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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.
Data is provided by the National Vulnerability Database (NVD)
Google ≫ Tensorflow Version < 1.15.5
Google ≫ Tensorflow Version >= 2.0.0 < 2.0.4
Google ≫ Tensorflow Version >= 2.1.0 < 2.1.3
Google ≫ Tensorflow Version >= 2.2.0 < 2.2.2
Google ≫ Tensorflow Version >= 2.3.0 < 2.3.2
Zu dieser CVE wurde keine CISA KEV oder CERT.AT-Warnung gefunden.
Type | Source | Score | Percentile |
---|---|---|---|
EPSS | FIRST.org | 0.02% | 0.031 |
Source | 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.