RAG Poisoning
Adversaries may inject malicious content into data indexed by a retrieval augmented generation (RAG) system to contaminate a future thread through RAG-based search results. This may be accomplished by placing manipulated documents in a location the RAG indexes (see Gather RAG-Indexed Targets).
The content may be targeted such that it would always surface as a search result for a specific user query. The adversary's content may include false or misleading information. It may also include prompt injections with malicious instructions, or false RAG entries.
> curated attacks (2)
Data Exfiltration from Slack AI via Indirect Prompt Injection
A malicious instruction posted in a public Slack channel was ingested into Slack AI's RAG index, then coaxed the assistant to leak data from private channels — rendered as a clickable link that carried secrets to an attacker.
Morris II: A Self-Replicating Worm for GenAI Ecosystems
An adversarial self-replicating prompt spreads between GenAI-powered email assistants: each infected assistant carries out malicious actions and poisons the RAG of the next, propagating agent-to-agent with zero clicks.