Attackers Dey Use Prompt Injection To Put Backdoors Via GitHub Copilot
Security researchers for Trail of Bits don show how dem fit do new prompt injection exploit take target GitHub’s Copilot Agent. If attacker file one innocent-looking issue for public repo, dem fit hide bad instructions inside HTML tags. The hidden payload go make Copilot add backdoor dependency inside project lock file. If dem merge am, the backdoor fit allow remote command execshun through one custom HTTP header. Dis kind attack dey rely on stealthy payload hiding, tailored backdoor inside uv.lock, and strategic human-assistant talk make them no detect am. Dis proof-of-concept na clear sign say AI security risk dey grow as developers dem dey rely more on LLM agents. Traders and developers suppose watch AI toolchain weaknesses well well because similar exploits fit spoil codebase and infrastructure integrity.
Neutral
Dis exploit demonstration dey focus on AI prompt injection an software backdoors, no be crypto market. E dey cause security wahala for code integrity an development workflow but no get direct effect on trading volume or token price. Traders suppose still sabi cybersecurity risk for tech stack but crypto market vibe no go change ederly.