CVE-2021-37635 Heap out of bounds access in sparse reduction operations in TensorFlow

2021-08-1220:30:11

CWE-125

GitHub_M

www.cve.org

tensorflow

machine learning

security

patch

vulnerability

CVSS3

7.3

Attack Vector

LOCAL

Attack Complexity

LOW

Privileges Required

LOW

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

HIGH

Integrity Impact

LOW

Availability Impact

HIGH

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

AI Score

7.9

Confidence

High

EPSS

Percentile

12.6%

JSON

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of sparse reduction operations in TensorFlow can trigger accesses outside of bounds of heap allocated data. The implementation fails to validate that each reduction group does not overflow and that each corresponding index does not point to outside the bounds of the input tensor. We have patched the issue in GitHub commit 87158f43f05f2720a374f3e6d22a7aaa3a33f750. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit 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"
      }
    ]
  }
]