CVE-2020-15210 Segmentation fault in tensorflow-lite

2020-09-2518:45:30

CWE-20

GitHub_M

www.cve.org

tensorflow-lite

segmentation fault

tensor reuse

memory corruption

patch release

CVSS3

6.5

Attack Vector

NETWORK

Attack Complexity

HIGH

Privileges Required

NONE

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

NONE

Integrity Impact

LOW

Availability Impact

HIGH

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

AI Score

6.6

Confidence

High

EPSS

0.002

Percentile

57.7%

JSON

In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. We have patched the issue in d58c96946b and will release patch releases for all versions between 1.15 and 2.3. We recommend users to upgrade to TensorFlow 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"
      }
    ]
  }
]