CVE-2021-37691 Division by zero in LSH in TensorFlow Lite

2021-08-1222:25:11

CWE-369

GitHub_M

www.cve.org

cve-2021-37691

division by zero

lsh

tensorflow lite

tflite model

github commit

tensorflow 2.6.0

cherrypick

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

AI Score

6.1

Confidence

High

EPSS

Percentile

12.6%

JSON

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can craft a TFLite model that would trigger a division by zero error in LSH implementation. We have patched the issue in GitHub commit 0575b640091680cfb70f4dd93e70658de43b94f9. The fix will be included in TensorFlow 2.6.0. We will also cherrypick thiscommit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

CNA Affected

[
  {
    "product": "tensorflow",
    "vendor": "tensorflow",
    "versions": [
      {
        "status": "affected",
        "version": ">= 2.5.0, < 2.5.1"
      },
      {
        "status": "affected",
        "version": ">= 2.4.0, < 2.4.3"
      },
      {
        "status": "affected",
        "version": "< 2.3.4"
      }
    ]
  }
]