CVE-2026-40316 (GCVE-0-2026-40316)
Vulnerability from cvelistv5 – Published: 2026-04-15 22:49 – Updated: 2026-04-16 14:18
VLAI
EPSS
VEX
Title
OWASP BLT has RCE in Github Actions via untrusted Django model execution in workflow
Summary
OWASP BLT is a QA testing and vulnerability disclosure platform that encompasses websites, apps, git repositories, and more. Versions prior to 2.1.1 contain an RCE vulnerability in the .github/workflows/regenerate-migrations.yml workflow. The workflow uses the pull_request_target trigger to run with full GITHUB_TOKEN write permissions, copies attacker-controlled files from untrusted pull requests into the trusted runner workspace via git show, and then executes python manage.py makemigrations, which imports Django model modules including attacker-controlled website/models.py at runtime. Any module-level Python code in the attacker's models.py is executed during import, enabling arbitrary code execution in the privileged CI environment with access to GITHUB_TOKEN and repository secrets. The attack is triggerable by any external contributor who can open a pull request, provided a maintainer applies the regenerate-migrations label, potentially leading to secret exfiltration, repository compromise, and supply chain attacks. A patch for this issue is expected to be released in version 2.1.1.
Severity
8.8 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-04-16 14:17 UTC
CWE
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/OWASP-BLT/BLT/security/advisor… | x_refsource_CONFIRM |
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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