Real ChatGPT answer · index seeduTUNtgmlyv4completeB2B software · AI and automation toolsinformational
Can someone explain how bad actors exploit prompt injection vulnerabilities to steal data from corporate chatbots?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Can someone explain how bad actors exploit prompt injection vulnerabilities to steal data from corporate chatbots?
1 real search · 1 real-search pass
OWASP Top 10 for LLM Applications prompt injection sensitive information disclosure excessive agency data exfiltrationGoogle ↗
OBSERVEDConsequence
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
OWASP Top 10 for LLM Applications prompt injection sensitive information disclosure excessive agency data exfiltration Google ↗
- OWASP Top 10 for Large Language Model Applications · owasp.github.io
- www-project-top-10-for-large-language-model-applications/2_0_vulns/LLM06_ExcessiveAgency.md at main · OWASP/www-project-top-10-for-large-language-model-applications · github.com
- LLM Prompt Injection Prevention · cheatsheetseries.owasp.org
- AI/LLM Application Security Testing and Red Teaming · owasp.github.io