CVE-2022-41889 Segfault via invalid attributes in `pywrap_tfe_src.cc` in Tensorflow

2022-11-1800:00:00

CWE-476

GitHub_M

www.cve.org

tensorflow

segfault

pywrap_tfe_src.cc

invalid attributes

quantized tensors

github commit

cherrypick

tensorflow 2.11

tensorflow 2.10.1

tensorflow 2.9.3

tensorflow 2.8.4

CVSS3

4.8

Attack Vector

NETWORK

Attack Complexity

HIGH

Privileges Required

LOW

User Interaction

REQUIRED

Scope

UNCHANGED

Confidentiality Impact

NONE

Integrity Impact

NONE

Availability Impact

HIGH

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

EPSS

0.001

Percentile

47.9%

JSON

TensorFlow is an open source platform for machine learning. If a list of quantized tensors is assigned to an attribute, the pywrap code fails to parse the tensor and returns a nullptr, which is not caught. An example can be seen in tf.compat.v1.extract_volume_patches by passing in quantized tensors as input ksizes. We have patched the issue in GitHub commit e9e95553e5411834d215e6770c81a83a3d0866ce. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

CNA Affected

[
  {
    "vendor": "tensorflow",
    "product": "tensorflow",
    "versions": [
      {
        "version": ">= 2.10.0, < 2.10.1",
        "status": "affected"
      },
      {
        "version": ">= 2.9.0, < 2.9.3",
        "status": "affected"
      },
      {
        "version": "< 2.8.4",
        "status": "affected"
      }
    ]
  }
]