CVE-2026-44723Vowpalwabbit · Vowpal_wabbit
Vulnerability data via NVD (ingested)
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.
External references
Search for exposed instances
Shodan + Censys queries derived from NVD's CPE data. The vuln tag catches assets Shodan has explicitly linked to this CVE; the product / banner fingerprints find exposed instances even when the vuln tag was never applied (which is common).
vuln:CVE-2026-44723product:"Vowpalwabbit Vowpal Wabbit"http.html:"Vowpal Wabbit"More intel sources (5)
vuln:CVE-2026-44723vulnerabilities.cve_id: CVE-2026-44723CVE-2026-44723CVE-2026-44723"CVE-2026-44723" exploit -site:nvd.nist.gov