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A use of uninitialized value vulnerability in Tensorflow

Moderate severity GitHub Reviewed Published Nov 4, 2021 in tensorflow/tensorflow • Updated Feb 1, 2023

Package

pip tensorflow (pip)

Affected versions

>= 2.6.0, < 2.6.1
>= 2.5.0, < 2.5.2
< 2.4.4

Patched versions

2.6.1
2.5.2
2.4.4
pip tensorflow-cpu (pip)
>= 2.6.0, < 2.6.1
>= 2.5.0, < 2.5.2
< 2.4.4
2.6.1
2.5.2
2.4.4
pip tensorflow-gpu (pip)
>= 2.6.0, < 2.6.1
>= 2.5.0, < 2.5.2
< 2.4.4
2.6.1
2.5.2
2.4.4

Description

Impact

TensorFlow's Grappler optimizer has a use of unitialized variable:

  const NodeDef* dequeue_node;
  for (const auto& train_node : train_nodes) {
    if (IsDequeueOp(*train_node)) {
      dequeue_node = train_node;
      break;
    }
  }

  if (dequeue_node) {
    ...
  }

If the train_nodes vector (obtained from the saved model that gets optimized) does not contain a Dequeue node, then dequeue_node is left unitialized.

Patches

We have patched the issue in GitHub commit 68867bf01239d9e1048f98cbad185bf4761bedd3.

The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by Qian Feng from Baidu Security Team.

References

@mihaimaruseac mihaimaruseac published to tensorflow/tensorflow Nov 4, 2021
Published by the National Vulnerability Database Nov 5, 2021
Reviewed Nov 8, 2021
Published to the GitHub Advisory Database Nov 10, 2021
Last updated Feb 1, 2023

Severity

Moderate

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v3 base metrics

Attack vector
Local
Attack complexity
Low
Privileges required
Low
User interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
High

CVSS v3 base metrics

Attack vector: More severe the more the remote (logically and physically) an attacker can be in order to exploit the vulnerability.
Attack complexity: More severe for the least complex attacks.
Privileges required: More severe if no privileges are required.
User interaction: More severe when no user interaction is required.
Scope: More severe when a scope change occurs, e.g. one vulnerable component impacts resources in components beyond its security scope.
Confidentiality: More severe when loss of data confidentiality is highest, measuring the level of data access available to an unauthorized user.
Integrity: More severe when loss of data integrity is the highest, measuring the consequence of data modification possible by an unauthorized user.
Availability: More severe when the loss of impacted component availability is highest.
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

EPSS score

0.048%
(19th percentile)

Weaknesses

CVE ID

CVE-2021-41225

GHSA ID

GHSA-7r94-xv9v-63jw

Source code

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