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Vulnerability CVE-2020-26270
Published: 2020-12-10 Modified: 2020-12-11
| 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. |
Type:
CWE-20 (Improper Input Validation)
CVSS2 => (AV:L/AC:L/Au:N/C:N/I:N/A:P)
| CVSS Base Score |
Impact Subscore |
Exploitability Subscore |
2.1/10 |
2.9/10 |
3.9/10 |
| Exploit range |
Attack complexity |
Authentication |
Local |
Low |
No required |
| Confidentiality impact |
Integrity impact |
Availability impact |
None |
None |
Partial |
References: |
https://github.com/tensorflow/tensorflow/commit/14755416e364f17fb1870882fa778c7fec7f16e3
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m648-33qf-v3gp
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