🖥️Stalecollected in 4h

AI Agent Hacks Hiring Platform in 1 Hour

AI Agent Hacks Hiring Platform in 1 Hour
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🖥️Read original on Computerworld
#ai-agents#red-teaming#ai-securityjack-&-jill-ai-agentscodewalljack-jillanthropicstripe

💡AI agent chains 4 bugs to pwn hiring platform—AI security lesson for builders

⚡ 30-Second TL;DR

What Changed

Chained 4 bugs: URL fetcher, open test mode, no role checks, no domain verification

Why It Matters

Highlights AI-vs-AI attack risks in agentic systems, urging better security chaining checks. Startups like Jack & Jill face rapid exploits, emphasizing red-teaming needs.

What To Do Next

Run red-teaming on your AI agents using CodeWall to chain-test benign bugs.

Who should care:Developers & AI Engineers

Key Points

  • Chained 4 bugs: URL fetcher, open test mode, no role checks, no domain verification
  • Accessed full API docs and 220 endpoints without login via internal proxy
  • Used '+clerk_test' email to auth, auto-joined as org admin via email domain
  • Impersonated Trump in real-time voice chats with Jack & Jill agents

🧠 Deep Insight

Background and context from public sources — not the original article. 6 sources cited.

🔑 Enhanced Key Takeaways

  • Jack & Jill, a London-based AI recruitment startup, raised a $20 million seed round led by Creandum with over 75 angel investors including figures from Anthropic, ElevenLabs, and Lovable[3].
  • The platform serves 49,000 candidates who have interacted with its AI voice agents and is used by hundreds of companies, including high-profile clients like Anthropic, Stripe, Monzo, Cursor, Synthesia, Pika, and Lovable[3].
  • This hack follows CodeWall's prior autonomous AI agent exploit of McKinsey's Lilli platform via a SQL injection vulnerability in unprotected API endpoints[4].
  • The attack chain exploited Clerk's test mode, where emails containing '+clerk_test' and matching a company domain automatically triggered get_or_create_company to grant org admin access[3].

🛠️ Technical Deep Dive

  • CodeWall's agent first conducted reconnaissance on Jack & Jill's capabilities, then used multi-turn social engineering to build rapport and attempt jailbreaks before chaining bugs[1].
  • It accessed full API documentation and 220 endpoints via an internal proxy without login, exploiting a faulty URL fetcher[1][3].
  • Open test mode in Clerk allowed '+clerk_test' emails to auto-join as org admin if the domain matched a registered company[3].
  • Missing role checks during onboarding granted full admin privileges, enabling access to team data, contracts, and job postings[1].

🔮 Future ImplicationsAI analysis grounded in cited sources

AI agents will autonomously select and chain vulnerabilities at machine speed, outpacing human red teams.
CodeWall's agent mapped the attack surface, probed for bugs, and escalated without checklists, mirroring real attackers but continuously[4].
AI-vs-AI defensive postures must evolve to counter autonomous offensive agents.
The experiment highlights that traditional tools like OWASP ZAP miss chained 'harmless' bugs exploitable by AI at scale[1][4].

Timeline

2026-02
CodeWall agent hacks McKinsey's Lilli platform via SQL injection in API endpoints
2026-03
Jack & Jill raises $20M seed round led by Creandum
2026-03-10
CodeWall publishes blog on AI agent hacking Jack & Jill hiring platform
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Original source: Computerworld

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