CVE-2021-41225 A use of uninitialized value vulnerability in Tensorflow

2021-11-0522:30:17

CWE-908

GitHub_M

www.cve.org

tensorflow

vulnerability

grappler optimizer

uninitialized variable

fix

cve-2021-41225

CVSS3

5.5

Attack Vector

LOCAL

Attack Complexity

LOW

Privileges Required

LOW

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

NONE

Integrity Impact

NONE

Availability Impact

HIGH

CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

EPSS

0.001

Percentile

17.8%

JSON

TensorFlow is an open source platform for machine learning. In affected versions TensorFlow’s Grappler optimizer has a use of unitialized variable. 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. 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.

CNA Affected

[
  {
    "product": "tensorflow",
    "vendor": "tensorflow",
    "versions": [
      {
        "status": "affected",
        "version": ">= 2.6.0, < 2.6.1"
      },
      {
        "status": "affected",
        "version": ">= 2.5.0, < 2.5.2"
      },
      {
        "status": "affected",
        "version": "< 2.4.4"
      }
    ]
  }
]