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CVE-2020-26270
Good to know:
Date: December 10, 2020
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.
Language: C++
Severity Score
Related Resources (8)
Severity Score
Weakness Type (CWE)
Improper Input Validation
CWE-20Top Fix
Upgrade Version
Upgrade to version tensorflow - 1.15.5;tensorflow - 2.0.4;tensorflow - 2.1.3;tensorflow - 2.2.2;tensorflow - 2.3.2;tensorflow-cpu - 2.1.3;tensorflow-cpu - 2.2.2;tensorflow-cpu - 2.3.2;tensorflow-gpu - 1.15.5;tensorflow-gpu - 2.0.4;tensorflow-gpu - 2.1.3;tensorflow-gpu - 2.2.2;tensorflow-gpu - 2.3.2
CVSS v3.1
| Base Score: |
|
|---|---|
| Attack Vector (AV): | LOCAL |
| Attack Complexity (AC): | LOW |
| Privileges Required (PR): | LOW |
| User Interaction (UI): | NONE |
| Scope (S): | UNCHANGED |
| Confidentiality (C): | NONE |
| Integrity (I): | LOW |
| Availability (A): | LOW |
CVSS v2
| Base Score: |
|
|---|---|
| Access Vector (AV): | LOCAL |
| Access Complexity (AC): | LOW |
| Authentication (AU): | NONE |
| Confidentiality (C): | NONE |
| Integrity (I): | NONE |
| Availability (A): | PARTIAL |
| Additional information: |
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