CVE-2020-26266 Uninitialized memory access in Eigen types in TensorFlow

2020-12-1022:10:47

CWE-908

GitHub_M

www.cve.org

cve-2020-26266

tensorflow

eigen types

uninitialized values

code execution

saved model

quantized floating point

buffer

security vulnerability

fix

CVSS3

4.4

Attack Vector

LOCAL

Attack Complexity

LOW

Privileges Required

LOW

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

NONE

Integrity Impact

LOW

Availability Impact

LOW

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

AI Score

Confidence

High

EPSS

0.001

Percentile

38.5%

JSON

In affected versions of TensorFlow under certain cases a saved model can trigger use of uninitialized values during code execution. This is caused by having tensor buffers be filled with the default value of the type but forgetting to default initialize the quantized floating point types in Eigen. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.

CNA Affected

[
  {
    "product": "tensorflow",
    "vendor": "tensorflow",
    "versions": [
      {
        "status": "affected",
        "version": "< 1.15.5"
      },
      {
        "status": "affected",
        "version": ">= 2.0.0, < 2.0.4"
      },
      {
        "status": "affected",
        "version": ">= 2.1.0, < 2.1.3"
      },
      {
        "status": "affected",
        "version": ">= 2.2.0, < 2.2.2"
      },
      {
        "status": "affected",
        "version": ">= 2.3.0, < 2.3.2"
      }
    ]
  }
]