Security

Ostorlab's AI Pentest Engine systematically uncovered a critical Broken Function-Level Authorization (BFLA) vulnerability in a GraphQL WebSocket endpoint, allowing unauthenticated access to a real-time translation service. This case study details the AI's step-by-step process, from discovery to proof-of-concept.

Product

This release delivers major advancements across the Ostorlab platform, including a significant upgrade to AI Pentest, enhanced web and mobile automation, a full-featured ServiceNow integration, redesigned email notifications, improved threat intelligence capabilities, and comprehensive access control enhancements with role and owner-based permissions.

Security

Methodical analysis beats blind fuzzing as Ostorlab's AI engine discovers cross-version password reset weakness and achieves account takeover without email access.

Security

Technical deep dive into Ostorlab AI Pentest Engine inner working, from threat intelligence, risk identification, mobile support to vulnerability validation.

Security

Ostorlab’s reasoning-driven AI engine breaks past rule-based limits to surface previously unknown and hard-to-detect vulnerabilities—including WebView Safe Browsing bypasses, SQLi via projections, WebCrypto key exfiltration, and JWT verification ordering flaws—delivering deeper, smarter, complementary security coverage.

Security

Precision beats payload spray using Ostorlab's AI engine to systematically land RCE on Titiler and proves exfiltration without a single stack trace.

Security

This article showcases Ostorlab's AI Pentest Engine's process for analyzing an Android application for Intent Redirection vulnerabilities. Follow the engine's journey from static analysis and initial findings to rigorous dynamic validation, demonstrating its ability to not only identify potential threats but also to meticulously discard false positives.

Security

This article presents a thorough, hands-on analysis and real-world exploitation of a hardcoded GCP service account with overprivileged Pub/Sub access discovered in a HackerOne mobile app. It details how Ostorlab’s AI-powered pentesting engine automated the full cycle—from authentication and permission enumeration to end-to-end message injection/interception—enabling remediation within four days.