XBOW's autonomous pentesting agent reached #1 on HackerOne's US leaderboard
XBOW, an AI agent for offensive security testing, submitted over 1,000 vulnerability reports to bug bounty programs and reached the top of HackerOne's US leaderboard in 2025.
- Organization
- XBOW
- Industry
- Cybersecurity
- When
- Jun 2025
- Evidence
- Press report
- Agents and tools
- XBOW
Reported outcome
#1 on the HackerOne US leaderboard, with 1,000+ reports in a few months and 130+ confirmed and fixed by program owners.
- 1,000+Reports submitted
- 132Confirmed and resolved
- 303Triaged, not yet resolved
Caveats
Reported by a news outlet, usually based on company statements.
- Humans reviewed findings before submission, to follow HackerOne's AI policy.
- Most figures come from XBOW's own blog and interviews.
- Leaderboard rank reflects volume as well as quality.
What the agent does
XBOW scans web applications in bug bounty programs, tries attacks, and writes reports for the issues it confirms. Humans check the reports before they go out.
Why this works
XBOW's team credits deterministic validation: each finding is checked by code (for example, proof that an injected payload ran), not by asking an LLM if it looks real. This cuts false positives, which bug bounty programs punish.
What to copy
- Never let the model grade its own findings. Use a checker that proves impact.
- Keep a human approval step for anything sent to a third party.
- Start with one vulnerability class you can validate fully.
Starter prompt
Written by us. Only test systems you are authorized to test.
Target: {in_scope_url}. Scope rules: {program_rules}.
Vulnerability class: reflected XSS only.
For each input you test:
- Use the harmless marker payload {marker}.
- A finding counts only if the validator script confirms the marker
executed in the browser. Paste the validator output.
Stop and ask before testing anything outside scope.
Sources
- Top 1: how XBOW did it — XBOW, Jun 2025
- AI bug hunter claims top spot on HackerOne's leaderboard — TechRepublic, Jun 2025
Added Oct 16, 2026. Spotted an error? Send a correction.
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