AI Platform Vulnerabilities
Articles detailing security flaws, exploits, and mitigations in AI application platforms such as Dify
Beyond the Pipeline: The Hidden Composition Risks in GitHub Actions
New research reveals a class of CI/CD vulnerabilities in GitHub Actions that evade traditional security scanners. By abusing workflow combinations rather than individual files, attackers can exploit composition flaws to compromise pipelines—even when security dashboards show all checks as passed.
Securing the AI Perimeter: The Hidden Danger of Unprotected Endpoints
Explore the critical security gap where unsecured, publicly accessible AI model endpoints become vectors for hijack and operational misuse.
New Path Traversal Vulnerability Discovered in Langflow AI Platform
CVE-2026-5027 is a critical path traversal vulnerability in Langflow (currently, active exploitation is observed). Immediate remediation (upgrade to 1.10.0 or isolate) is mandatory. The vulnerability highlights the urgent necessity for robust security practices in the fast-evolving AI development ecosystem.
Closing the YAML Gap: Securing Automated Repository Workflows Against Cordyceps Attacks
An in-depth security analysis of 'Cordyceps', a class of CI/CD supply chain vulnerabilities exploiting automated pull request workflows at major institutions including Microsoft, Google, Apache, and PSF, exacerbated by AI coding agents.