Understanding Indirect Prompt Injection Attacks in LLM-Integrated Workflows

Learn how OpenAI's AppsSDK, AgentKit, and "Buy It" turn LLMs into transactional agents—expanding security risks from rapid rollout, prompt injection, and access control gaps.

Part two of an anti-scraping series applies rate limits, generic errors, and data caps to a demo message board, then shows how scrapers adapt, proving defense in depth beats any single control.

A pentest shows Claude refuses to build an LSASS dumper, but local DeepSeek and uncensored Qwen models produce a working XOR-encrypted minidumper, making AI-assisted EDR evasion nearly effortless.

SpecterOps maps where AI helps offensive security (recon, tooling, vuln discovery) and where it still fails, stressing that results hinge on the harness: context, tools, state, independent validation, and human judgment.

How Project Zero evolved Project Naptime into Big Sleep, using large language models to find vulnerabilities in real-world software, with early results and observations.

Project Naptime evaluates the offensive security capabilities of large language models, presenting a methodology, tooling setup, and early successes finding real vulnerabilities.