Recon to report, automated
A full pipeline moves from subdomain discovery, fingerprinting and crawling through active testing, exploit chaining, verification and PDF/SARIF reporting — without babysitting.
Autonomous bug bounty research platform
Find real, submittable
vulnerabilities — automatically.
HunterOS unifies reconnaissance, deep scanning, multi-agent orchestration, AI exploit chaining, and reporting into one governed pipeline. It is built for authorized, ethical bug bounty research — and it gets smarter every single session.
✓ Scope-gated by design · read-only proof of concept · no mass exploitation
10pipeline phases
18scanner modules
6orchestrated agents
3pass AI chaining
∞compounding knowledge
// what it is
One platform for the entire hunt
Most bug bounty tooling is a pile of disconnected scripts. HunterOS turns the whole hunt — from the first subdomain to the final submission-ready report — into a single, governed, autonomous system.
Multi-agent orchestration
Specialized agents for recon, intel, JS analysis, vulnerability hunting, chaining and reporting. A governed scheduler exchanges bounded handoffs so context never fills with raw tool output.
Second-brain knowledge base
Every finding, pattern and technique is recorded. Future sessions read it first, so accuracy compounds instead of resetting.
AI exploit chaining
A three-pass Thinker → Verifier → Scorer analysis turns a list of isolated findings into ranked, feasible, CVSS-scored exploit chains.
Loop engineering
Agents don't run once. New attack surface discovered mid-scan re-triggers the right earlier agents, up to a bounded number of iterations.
Authorization first
Every action runs through an engagement contract with deny-wins out-of-scope rules and a hard request budget. Out-of-scope targets are blocked at the engine level.
// capabilities
What HunterOS is capable of
Deep testing across the vulnerability classes that actually pay — backed by AI triage to cut the noise.
Discovery
Attack surface mapping
Subdomain enumeration, DNS resolution, live host detection, port and technology fingerprinting, crawling and parameter discovery.
Secrets
Secret & leak hunting
Repository and bundle scanning for exposed credentials, API keys and tokens, plus OSINT routing across public sources.
Injection
Injection testing
SQL, NoSQL, LDAP, SSTI, XXE, template and command injection with capture-backed, offline-verifiable oracles.
Access
Auth & authorization flaws
JWT attacks (alg:none, key confusion, kid injection), IDOR/BOLA, session and access-control bypass testing.
Logic
Business logic & race conditions
Workflow bypass, multi-step logic chains and concurrent-request exploitation that generic scanners miss.
Client
Client-side & prototype abuse
CORS misconfiguration, XSS, prototype pollution and deserialization paths mapped to real impact.
Cloud
Cloud & infrastructure exposure
S3, Firebase and Azure misconfigurations, SSRF-to-metadata chains and server hardening gaps.
Output
Reports & SARIF
Merged, de-duplicated findings rendered into a report and SARIF, with an independent verification gate before submission.
// one command, whole hunt
$ hunteros run "https://target.com" \
--engagement config/prog-engagement.json \
--recon-domain target.com --run-dir runs/target-001
Or drive it role-by-role with hunteros orchestrate, run full multi-target campaigns with hunteros campaign, and plan with zero execution using --dry-run.
// how it works
From a single seed to a submission-ready report
A directed graph of agents, each feeding the next, with a loop check that re-runs earlier stages whenever new surface appears.
-
01
Recon & intelligence
Subdomains, live hosts, ports, tech stack, crawled URLs and OSINT — the full external footprint, scope-filtered from the first request.
-
02
JS analysis
Browser-driven inspection of JavaScript bundles to map undocumented APIs and surface hard-coded secrets.
-
03
Vulnerability hunting
Specialist scanners plus templated probes look for injection, auth, logic and cloud flaws — with AI triage filtering false positives in real time.
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04
Loop check
New subdomains, endpoints or secrets re-trigger the relevant agent. Bounded iterations keep noisy targets from spinning.
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05
Chain analysis
Isolated findings become ranked, feasible exploit chains with CVSS scoring and proof-of-concept completeness ratings.
-
06
Verify & report
An independent, offline verification gate stands between a finding and the report — an unverified finding can never reach submission.
// ai chaining
Three passes. Far fewer false positives.
A single AI pass guesses. HunterOS runs three sequential passes over your findings, each narrowing toward the chains that are actually exploitable.
Thinker
Generates every plausible attack-chain hypothesis from the raw findings — exhaustively, without judging feasibility yet.
Verifier
Eliminates false positives and pressure-tests the technical feasibility of every proposed chain.
Scorer
Assigns CVSS scores, makes bounty estimates, and rates how complete each proof of concept really is.
Result: multi-step exploit chains ranked by realistic exploitability, not raw scan severity.
// the second brain
Every session makes the next one better
The knowledge base is the heart of HunterOS. Each session contributes what it learned, and every future session starts with that accumulated intelligence — a compounding advantage instead of notes lost in a text file.
- Session logs — phases run, findings, timings
- Findings — confirmed bugs with full PoC, by severity
- Patterns — techniques that actually worked
- Target profiles — tech stack and history per target
- Chains — reusable multi-step exploit scenarios
- Master brain — cross-target synthesis
// authorized use only
Powerful tools, strict guardrails
HunterOS is built exclusively for authorized, ethical bug bounty research. Enforcement is structural, not a warning label.
- ✓ Every scan validates against a published scope before executing
- ✓ Engagement contracts use deny-wins out-of-scope rules and a hard request budget
- ✓ Out-of-scope targets are blocked at the engine level, not just by convention
- ✓ Proof of concept is read-only and non-destructive — no data deletion or persistence
- ✓ Program-specific ineligible findings are excluded automatically
- ✓ No mass exploitation and no payloads intended to disrupt production systems
Ready to hunt smarter?
See how HunterOS can turn your bug bounty workflow into an autonomous, self-improving research engine.