CVE-2020-15207 Segfault and data corruption in tensorflow-lite

2020-09-2518:45:46

CWE-119

GitHub_M

www.cve.org

tflite

segfault

data corruption

indexing

out of bounds

tensorflow

CVSS3

8.7

Attack Vector

NETWORK

Attack Complexity

HIGH

Privileges Required

NONE

User Interaction

NONE

Scope

CHANGED

Confidentiality Impact

NONE

Integrity Impact

HIGH

Availability Impact

HIGH

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

AI Score

9.1

Confidence

High

EPSS

0.003

Percentile

68.3%

JSON

In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, to mimic Python’s indexing with negative values, TFLite uses ResolveAxis to convert negative values to positive indices. However, the only check that the converted index is now valid is only present in debug builds. If the DCHECK does not trigger, then code execution moves ahead with a negative index. This, in turn, results in accessing data out of bounds which results in segfaults and/or data corruption. The issue is patched in commit 2d88f470dea2671b430884260f3626b1fe99830a, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

CNA Affected

[
  {
    "product": "tensorflow",
    "vendor": "tensorflow",
    "versions": [
      {
        "status": "affected",
        "version": "< 1.15.4"
      },
      {
        "status": "affected",
        "version": ">= 2.0.0, < 2.0.3"
      },
      {
        "status": "affected",
        "version": ">= 2.1.0, < 2.1.2"
      },
      {
        "status": "affected",
        "version": ">= 2.2.0, < 2.2.1"
      },
      {
        "status": "affected",
        "version": ">= 2.3.0, < 2.3.1"
      }
    ]
  }
]