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CVE-2024-27320: Refuel Autolab Eval Injection vulnerability

September 12, 2024 (updated September 23, 2024)

An arbitrary code execution vulnerability exists in versions 0.0.8 and newer of the Refuel Autolabel library because of the way its classification tasks handle provided CSV files. If a victim user creates a classification task using a maliciously crafted CSV file containing Python code, the code will be passed to an eval function which executes it.

References

  • github.com/advisories/GHSA-g2m8-f3x2-qprw
  • github.com/refuel-ai/autolabel
  • github.com/refuel-ai/autolabel/blob/v0.0.16/src/autolabel/dataset/validation.py
  • hiddenlayer.com/sai-security-advisory/2024-09-autolabel
  • nvd.nist.gov/vuln/detail/CVE-2024-27320

Code Behaviors & Features

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Affected versions

All versions starting from 0.0.8 up to 0.0.16

Solution

Unfortunately, there is no solution available yet.

Impact 7.8 HIGH

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

Learn more about CVSS

Weakness

  • CWE-1236: Improper Neutralization of Formula Elements in a CSV File
  • CWE-95: Improper Neutralization of Directives in Dynamically Evaluated Code ('Eval Injection')

Source file

pypi/refuel-autolabel/CVE-2024-27320.yml

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