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CVE-2020-15190

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Date: September 25, 2020

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `tf.raw_ops.Switch` operation takes as input a tensor and a boolean and outputs two tensors. Depending on the boolean value, one of the tensors is exactly the input tensor whereas the other one should be an empty tensor. However, the eager runtime traverses all tensors in the output. Since only one of the tensors is defined, the other one is `nullptr`, hence we are binding a reference to `nullptr`. This is undefined behavior and reported as an error if compiling with `-fsanitize=null`. In this case, this results in a segmentation fault The issue is patched in commit da8558533d925694483d2c136a9220d6d49d843c, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

Language: Python

Severity Score

Severity Score

Weakness Type (CWE)

Input Validation

CWE-20

NULL Pointer Dereference

CWE-476

Top Fix

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Upgrade Version

Upgrade to version 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1

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CVSS v3

Base Score:
Attack Vector (AV):
Attack Complexity (AC):
Privileges Required (PR):
User Interaction (UI):
Scope (S):
Confidentiality (C): NONE
Integrity (I): PARTIAL
Availability (A): NONE

CVSS v2

Base Score:
Access Vector (AV):
Access Complexity (AC):
Authentication (AU):
Confidentiality (C): LOW
Integrity (I): LOW
Availability (A): LOW
Additional information:

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