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CVE-2026-44723: Vowpal Wabbit is a machine learning system. The workflow .github/workflows/python_checks.yml embeds …

Occurred
May 26, 2026
Published
May 26, 2026
Source
NVD CVE

Summary

Vowpal Wabbit is a machine learning system. The workflow .github/workflows/python_checks.yml embeds ${{ github.event.pull_request.title }} directly inside double-quoted bash strings in four separate steps across four jobs, each passing it as a CLI argument to the Python test script run_tests_model_gen_and_load.py. The shell interprets the expanded string before invoking Python, allowing an attacker to break out of the quotes and execute arbitrary commands on the runner. The pull_request trigger fires on PRs targeting any branch (branches: ['*']), with no additional access gate. This vulnerability is fixed by the 998e390e80a7e8192d7849b7784bc113dbd190ad commit.

Tags

  • CVE
  • CVE-2026-44723
  • cvss:MEDIUM

Classification

Category confidence: 90%
Severity confidence: 85%

Rationale: CVE describes a shell injection vulnerability in CI/CD workflow, not an AI safety incident.

Classifier: Qwen/Qwen3.5-35B-A3B-FP8

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