Indirect Prompt Injection | Episode 44

In this episode of BHIS Presents: AI Security Ops, the team breaks down indirect prompt injection — the #1 risk in the OWASP Top 10 for LLM Applications — and why it represents one of the most dangerous and misunderstood threats in modern AI systems.Unlike traditional attacks, indirect prompt injection doesn’t require malware, credentials, or even user interaction. Instead, attackers hide malicious instructions inside everyday content like emails, documents, or web pages — and wait for AI systems to unknowingly execute them.From real-world exploits like EchoLeak to in-the-wild attacks observed by Palo Alto Unit 42, this episode explores how attackers are already abusing AI-powered tools in production environments — and why current defenses are struggling to keep up.We dig into:• What indirect prompt injection is and how it differs from direct attacks• Why OWASP ranks prompt injection as the #1 LLM security risk• How attackers hide payloads inside emails, documents, and web content• The EchoLeak zero-click exploit against Microsoft 365 Copilot• Web-based prompt injection attacks observed in the wild (Unit 42)• Exploits targeting AI coding tools like Cursor IDE and GitHub Copilot• How RAG systems amplify the risk through poisoned knowledge bases• Why LLM architecture makes this problem fundamentally hard to solve• Research showing modern defenses still fail 50%+ of the time• Practical mitigation strategies: least privilege, human-in-the-loop, and observabilityThis episode focuses on the real-world security implications of AI adoption, showing how attackers are already leveraging these techniques — and what defenders need to understand as AI becomes deeply embedded in business workflows.⸻📚 Key ReferencesPrompt Injection & LLM Risk• OWASP Top 10 for LLM Applications 2025 — https://owasp.orgReal-World Attacks• EchoLeak (CVE-2025-32711) — Aim Security / arXiv• Unit 42 — Web-Based Indirect Prompt Injection in the Wild (March 2026) — https://unit42.paloaltonetworks.comAI System Vulnerabilities• Cursor IDE (CVE-2025-59944)• GitHub Copilot (CVE-2025-53773)• Lakera — Zero-Click MCP Attack — https://lakera.aiResearch on Defenses• Zhan et al. — Adaptive Attacks Break Defenses (NAACL 2025)• Anthropic System Card (Feb 2026)• Google Gemini Security Research (2025)Standards & Guidance• NIST AI Risk Management Framework — https://nist.gov• MITRE ATLAS — https://atlas.mitre.org• ISO/IEC 42001 AI Management Systems#AISecurity #PromptInjection #CyberSecurity #LLMSecurity #AIThreats #BHIS #AIAgents #ArtificialIntelligence #infosec (00:00) - Intro & BHIS / Antisyphon Overview(01:19) - OWASP Top 10 & Prompt Injection Context(01:41) - Indirect Prompt Injection Explained (Stored Attack Analogy)(02:54) - Real-World Attack Scenarios (Calendar & Hidden Payloads)(05:10) - EchoLeak & Zero-Click Copilot Exploit(06:10) - Weaponized Excel Prompt Injection PoC(06:50) - Email Injection & AI Summarization Abuse(09:07) - Why Detection & Prevention Are So Difficult(14:02) - Mitigations & Final ThoughtsClick here to watch this episode on YouTube. Creators & Guests Derek Banks - HostBrian Fehrman - HostBrought to you by:Black Hills Information Security https://www.blackhillsinfosec.comAntisyphon Traininghttps://www.antisyphontraining.com/Active Countermeasureshttps://www.activecountermeasures.comWild West Hackin Festhttps://wildwesthackinfest.com🔗 Register for FREE Infosec Webcasts, Anti-casts & Summitshttps://poweredbybhis.com Click here to view the episode transcript.