CVE-2021-43811
Versions below 2.3.24 use unsafe YAML loading, which can be made to execute arbitrary code embedded in config files.
Does this matter?
High impact if exploited, but EPSS currently rates exploitation as unlikely (2.42%). Schedule it in the normal patch cycle and watch for a rise in EPSS or a public exploit.
Description
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.
- CVSS 3.1
- 7.8 HIGHCVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
- EPSS
- 2.42% probability · 83th percentile
- CISA KEV
- Not listed
- Weakness
- CWE-94
- Affected
- amazon/sockeye
- Source
- security-advisories@github.com
References
- https://github.com/awslabs/sockeye/pull/964Patch, Third Party Advisory
- https://github.com/awslabs/sockeye/releases/tag/2.3.24Release Notes, Third Party Advisory
- https://github.com/awslabs/sockeye/security/advisories/GHSA-ggmr-44cv-24pmThird Party Advisory
- https://github.com/awslabs/sockeye/pull/964Patch, Third Party Advisory
- https://github.com/awslabs/sockeye/releases/tag/2.3.24Release Notes, Third Party Advisory
- https://github.com/awslabs/sockeye/security/advisories/GHSA-ggmr-44cv-24pmThird Party Advisory
Source: NVD record, EPSS from FIRST.org, KEV from CISA. Refreshed daily.