Unverified50% confidenceOpinionExact time
The case in this article is a typical indirect injection, which is more covert because the malicious text comes from a third-party data source trusted by the agent rather than from a directly interacting user.
1
Sources
50%
Confidence
Long-term
Relevance
10/28/2026
First Seen
Sources
How Prompt Injection Lets a GitHub Issue Hijack AI Agents
youtubeCode Cuts10/28/2026
Related Entities
Related Claims
Verified间接提示注入可将恶意指令藏入外部数据源(如网页、文档),待代理读取时自动触发攻击74% similarUnverifiedRetrieved external content (emails, attachments, documents) should be treated as untrusted input, and adversarial documents should be included in evaluation sets.73% similarUnverifiedThe "trust endorsement" mechanism lowers the startup cost of information dissemination, but it also brings a risk of misreading—a few words in a title or link may be amplified into a statement of some stance.71% similarUnverifiedMost teams only guard user messages and assume retrieved content, file names, third-party API responses and error messages are safe, yet these are common entry points for indirect injection.69% similarUnverifiedTrustGate has a higher degree of productization than TrueFoundry in personal data processing (identifying and redacting sensitive fields before requests go outbound).69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1108119API
curl https://kongchang.com/api/v1/knowledge/claims/1108119MCP
get_claim(id=1108119)