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GitLost: GitHub's AI Agent Tricked Into Leaking Private Repository Data
Noma Security disclosed GitLost, a critical prompt injection vulnerability in GitHub's Agentic Workflows that allows attackers to trick AI agents into leaking private repository data via crafted GitHub issues. The vulnerability bypasses GitHub's guardrails and requires no credentials, affecting organizations using AI-powered workflow automation.
This Wire brief sits within Fusion42's coverage of AI Agents, Cybersecurity and Developer Tools. Wire is Fusion42's founder-focused intelligence feed: each story is connected to the funds and startups it names — every one with a live profile on Raise or Scout — so founders can follow the capital and the momentum behind the headline rather than just the headline itself. Wire analysis is one of the live surfaces Arthur, Fusion42's AI co-founder, reasons over.
The Wire takeaway
Founders building on GitHub Agentic Workflows or deploying AI agents in CI/CD pipelines face immediate data exfiltration risk; prompt injection is now a production-grade attack vector requiring architectural redesign of permission models and input handling.
Read the full story at hackread.com →
Topics: AI Agents · Cybersecurity · Developer Tools · prompt-injection · ai-agent-security · github-workflows · data-exposure · supply-chain-risk