CVE-2021-43811 Code injection via unsafe YAML loading

2021-12-0823:05:11

CWE-94

GitHub_M

www.cve.org

7.8 High

CVSS3

Attack Vector

LOCAL

Attack Complexity

LOW

Privileges Required

NONE

User Interaction

REQUIRED

Scope

UNCHANGED

Confidentiality Impact

HIGH

Integrity Impact

HIGH

Availability Impact

HIGH

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

0.001 Low

EPSS

Percentile

51.3%

JSON

Sockeye is an open-source sequence-to-sequence framework for Neural Machine Translation built on PyTorch. Sockeye uses YAML to store model and data configurations on disk. Versions below 2.3.24 use unsafe YAML loading, which can be made to execute arbitrary code embedded in config files. An attacker can add malicious code to the config file of a trained model and attempt to convince users to download and run it. If users run the model, the embedded code will run locally. The issue is fixed in version 2.3.24.

CNA Affected

[
  {
    "product": "sockeye",
    "vendor": "awslabs",
    "versions": [
      {
        "status": "affected",
        "version": "< 2.3.24"
      }
    ]
  }
]