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.

Security

This technical analysis reveals how sophisticated attack chains—combining path traversal, symbolic link manipulation, and Android SDK quirks—can breach Signal Android's defenses to extract sensitive internal files, despite its legendary encryption remaining intact. While Signal patched these vulnerabilities within days, the discoveries offer crucial lessons about how seemingly minor bugs can be chained into powerful exploits, and why even the best security architecture needs multiple layers of defense

Security

This article presents a thorough, hands-on analysis and proof of concept for exploiting an OOB XXE vulnerability CVE-2021-29620 in Report Portal. It details how Ostorlab's AI-powered pentesting engine was used to automate the full cycle.

Product

Ostorlab’s AI Monkey Tester transforms mobile app security testing by using natural language prompts and generative AI to automatically generate intelligent, context-aware test scenarios, resulting in up to a 10x increase in application coverage compared to traditional, rule-based testing approaches.

Security

This article presents a thorough, hands-on analysis and proof of concept for exploiting the stored XSS vulnerability CVE-2025-52559 in Zulip. It details how Ostorlab's AI-powered pentesting engine was used to automate the full cycle.

Product

This release introduces major enhancements to our AI-powered UI exploration engine, delivering smarter and more adaptive dynamic scanning across modern applications. We've overhauled our SSL scanner to detect 15+ critical SSL/TLS vulnerabilities with improved precision, and rebuilt the taint analysis engine for deeper and more reliable vulnerability detection. The release also expands coverage for secrets detection, mobile misconfigurations, and modern CVEs. Across the board, platform performance has been refined for greater speed, stability, and accuracy.

Product

Ostorlab's May 2025 update delivers comprehensive privacy analysis capabilities with 21 new data collection categories and enhanced verification tools. This release introduces specialized Attack Surface scan profiles for optimized security assessments, adds GitHub source code integration for precise vulnerability mapping, and implements QPS rate limiting for controlled scanning. Additional improvements include mobile scan URL regex controls, streamlined Jira integration, and expanded fingerprinting capabilities for improved detection accuracy.

Security

This research introduces a pioneering dual approach that combines signature-based matching (DalvikFLIRT) with LLM-powered code transformation to bypass sophisticated Android app obfuscation, enabling automated security analysis of previously impenetrable code.