Researchers Uncover 10 In-the-Wild Indirect Prompt Injection Attacks - Infosecurity Magazine

Security researchers have published the AI safety community's latest party trick: 10 new indirect prompt injection payloads found 'in the wild,' designed to achieve theft, data demolition, and general digital arson. The delightful part? These attacks don't even target model security — they exploit integrations: your agent linked to code executors, productivity suites, and database tools. Because why secure the neighbour's house when yours is already unlocked and the keys are pasted in a ChatGPT window.

The researchers helpfully note that these 10 payloads likely represent lower-bound prevalence, meaning the real number of lurking shell commands smiling politely at enterprise APIs could be significantly higher. Ironically, one discovered payload used a clipboard service vulnerability tucked behind a captcha, gamely obtaining valuable information before any silly defenders noticed.

Meanwhile, labs keep aggressively shipping agentic capabilities with nary a second thought about implicit security. After all, nothing could possibly go wrong when we quickly duct-tape multi-consumer production-level real-time independent agents onto systems historically kept safe just through pure obscurity and happenstance. But of course, no lab yet appears sufficiently brave to instrument actual safety measures atop those quickly constructed towers, so we should likely just update standby tinfoil budgets.