CVE-2021-41206 Incomplete validation of shapes in multiple TF ops

2021-11-0522:05:14

CWE-354

GitHub_M

www.cve.org

cve-2021-41206

tensorflow

machine learning

validation

shapes

tensor

crashes

heap array access

gpu op

determinism

CVSS3

Attack Vector

LOCAL

Attack Complexity

HIGH

Privileges Required

LOW

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

HIGH

Integrity Impact

HIGH

Availability Impact

HIGH

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

EPSS

Percentile

14.2%

JSON

TensorFlow is an open source platform for machine learning. In affected versions several TensorFlow operations are missing validation for the shapes of the tensor arguments involved in the call. Depending on the API, this can result in undefined behavior and segfault or CHECK-fail related crashes but in some scenarios writes and reads from heap populated arrays are also possible. We have discovered these issues internally via tooling while working on improving/testing GPU op determinism. As such, we don’t have reproducers and there will be multiple fixes for these issues. These fixes will be included in TensorFlow 2.7.0. We will also cherrypick these commits 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"
      }
    ]
  }
]