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Introduction:
The landscape of bug bounty hunting is undergoing a paradigm shift as elite researchers increasingly open-source their proprietary methodologies. Mihir Shishulkar, a Microsoft MSRC-recognized researcher and HackerOne Top 10% hunter, has released ROXX’S SLAVE—an autonomous intelligence framework that packages 18 pre-built P1 exploit chains, 500+ battle-tested payloads, and 2,000+ lines of hunting methodology into a single, zero-cost installation. Powered by OpenCode AI and Google Gemini’s free tier, this tool represents a significant step toward democratizing advanced vulnerability research capabilities.
Learning Objectives & Secrets:
- Objective 1: Master Autonomous Exploit Chaining – Understand how to leverage pre-built P1 chains (XSS→ATO, SSRF→RCE, SQLi→Full Compromise) to rapidly escalate findings from initial foothold to critical impact. The framework’s “DEVIL_CHAINS” skill automatically ranks and sequences vulnerabilities for maximum severity.
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Objective 2 Secret Tips: Leverage “DEVIL_UNIQUE” for Zero-Config Edge Cases – Most hunters miss the rare vectors documented in
DEVIL_UNIQUE.md, which catalogs attack surfaces that conventional scanners overlook. Use this skill to probe GraphQL IDOR, race conditions, and deserialization flaws that automated tools frequently skip. -
Objective 3 Secret Tips: Autonomous “Caveman” Protocol for Maximum Yield – The `CAVEMAN_SKILL.md` enforces a “think-before-you-act” discipline, instructing the AI to prioritize one high-impact strike over scattered low-severity findings. This protocol dramatically improves report quality and triage acceptance rates.
You Should Know:
1. One-Command Deployment Across Linux, macOS, and Windows
ROXX’S SLAVE eliminates the friction of manual setup with a unified installation process. The installer performs three core actions: downloads and installs OpenCode AI, embeds all brain and skill files automatically, and writes the OpenCode configuration linking everything together.
Step‑by‑Step Guide:
- Kali Linux / Parrot OS / Ubuntu / Debian:
git clone https://github.com/mihirshishulkar-SCOPEX/roxxs-slave.git cd roxxs-slave chmod +x install.sh ./install.sh
The script installs Node.js and all dependencies automatically.
- macOS:
git clone https://github.com/mihirshishulkar-SCOPEX/roxxs-slave.git cd roxxs-slave chmod +x install.sh ./install.sh
Homebrew installs Node.js if missing.
- Windows (PowerShell — Run as Administrator):
git clone https://github.com/mihirshishulkar-SCOPEX/roxxs-slave.git cd roxxs-slave Set-ExecutionPolicy Bypass -Scope Process -Force .\install_windows.ps1
Winget handles Node.js installation automatically.
- Windows (WSL2 — Recommended for Kali compatibility):
wsl --install -d kali-linux Then open Kali terminal and run the Linux install command
This provides native Linux tooling within Windows.
2. API Key Configuration and Cost-Free Operation
The entire stack runs at zero cost using OpenCode AI (free and open-source) paired with Google Gemini’s free tier from AI Studio.
Step‑by‑Step Guide:
1. Launch OpenCode after installation:
opencode
2. Inside OpenCode, type the connect command:
/connect
- Select “Google” as the provider and paste your free API key from aistudio.google.com/apikey.
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Navigate to your target directory and start hunting:
cd ~/hunts/target.com opencode
All brain and skill files auto-load into every OpenCode session—zero additional configuration required.
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Understanding the Brain Stack: Methodology, Payloads, and Triage
The repository’s `brain/` and `skills/` directories contain the proprietary intelligence that distinguishes this tool from generic scanners.
Step‑by‑Step Guide:
– `CLAUDE.md` – Primary hunting methodology covering reconnaissance → exploitation → report writing.
– `CLAUDE1.md` – Advanced chaining logic and “devil payloads” for complex attack surfaces.
– `OC.md` – Autonomous directives that enable OpenCode to operate in “kill mode” with minimal human intervention.
– `DEVIL_CHAINS.md` – Ranked P1 exploit chains including XSS→Account Takeover, SSRF→Remote Code Execution, and SQLi→Admin Panel Compromise.
– `DEVIL_PAYLOADS_.md` – Categorized payload libraries for XSS, injection (SQLi, CMDi, XXE, SSTI), authentication bypass, and SSRF.
– `DEVIL_UNIQUE.md` – Rare attack vectors that most hunters overlook, providing a competitive edge.
To inspect the loaded intelligence, navigate to `~/.config/opencode/` after installation, where all skills are embedded.
4. Prompt Engineering for Maximum Results
ROXX’S SLAVE excels when given precise, goal-oriented prompts that leverage its embedded intelligence.
Step‑by‑Step Guide:
- Subdomain Enumeration:
"Enumerate all subdomains of target.com and find live hosts"
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Automated Vulnerability Scanning:
"Run nuclei on these hosts, report P1 and P2 only"
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IDOR Exploitation:
"This endpoint looks like IDOR — exploit it and prove impact"
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XSS Chaining:
"Find XSS in this JS file and chain it to account takeover"
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Report Generation:
"Write a full Bugcrowd report for this SSRF vulnerability"
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Chain Discovery:
"What attack chains can I build from this finding?"
5. Legal and Ethical Compliance
The tool is explicitly designed for authorized security research and bug bounty programs only.
Step‑by‑Step Guide:
- Only test targets with explicit written permission.
- Adhere to program scopes on platforms like HackerOne and Bugcrowd.
- The author assumes no responsibility for misuse—users bear full legal accountability.
6. Verification Commands and Troubleshooting
After installation, verify the environment with these commands:
- Check OpenCode installation:
which opencode opencode --version
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Verify embedded skills:
ls -la ~/.config/opencode/
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Test API connectivity:
opencode --test-connect
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Re-run installer if issues occur:
./install.sh --force
What Undercode Say:
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Key Takeaway 1: The commoditization of elite research methodologies accelerates the entire security ecosystem. By open-sourcing his personal “brain stack,” Shishulkar lowers the barrier to entry for aspiring hunters while raising the baseline of security testing globally. The 18 pre-built P1 chains and 500+ payloads represent years of field experience distilled into accessible intelligence.
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Key Takeaway 2: AI-powered hunting tools are transitioning from experimental to production-ready. ROXX’S SLAVE’s integration with OpenCode AI and Google Gemini demonstrates that autonomous vulnerability discovery is no longer theoretical—it’s deployable today at zero cost. The “Caveman” protocol’s emphasis on quality over quantity reflects a mature approach to AI-assisted security research.
The strategic release of this tool signals a broader trend: elite researchers are increasingly leveraging open-source AI frameworks to scale their impact. Mihir Shishulkar’s credentials—Microsoft MSRC recognition, HackerOne Top 10%, and a critical RCE finding—lend substantial credibility to the methodology embedded within ROXX’S SLAVE. The tool’s architecture, which auto-loads hunting intelligence into every session, effectively embeds years of tacit knowledge into an accessible interface.
However, the true value lies not in the payloads themselves but in the chaining logic and triage rules that transform isolated findings into demonstrable business impact. The “DEVIL_CHAINS” skill, which ranks vulnerabilities from initial discovery to full compromise, addresses the most persistent challenge in bug bounty: proving severity. For organizations, this tool represents both an opportunity and a warning—attackers now have access to the same intelligence that elite hunters use.
Prediction:
- +1 The democratization of elite hunting intelligence will force organizations to adopt more rigorous security testing and remediation practices, ultimately raising the global security posture. As tools like ROXX’S SLAVE become ubiquitous, the average quality of vulnerability reports will improve, benefiting both bug bounty programs and enterprise security teams.
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+1 AI-powered exploit chaining will become a standard feature in commercial security testing platforms within 12–18 months. The success of open-source implementations like ROXX’S SLAVE will pressure vendors to integrate similar autonomous capabilities.
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-1 The widespread availability of pre-built P1 chains and advanced payloads lowers the skill barrier for malicious actors who may use the tool for unauthorized testing. Organizations without robust detection and response capabilities face increased risk from automated, AI-driven attack attempts.
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-1 Bug bounty programs may experience “signal-to-1oise” degradation as less-experienced hunters deploy autonomous tools without understanding the underlying methodology, potentially flooding triage teams with low-quality or out-of-scope submissions.
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+1 The OpenCode and Google Gemini integration establishes a sustainable, zero-cost model for AI-powered security research that other open-source projects will likely replicate, accelerating innovation in the defensive security space.
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-1 Reliance on AI-assisted hunting may atrophy manual testing skills among newer researchers, creating a dependency on tools that could be deprecated or restricted in the future.
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+1 The release of
DEVIL_UNIQUE.md—documenting rare vectors most hunters miss—will inspire a new wave of research into overlooked attack surfaces, potentially uncovering novel vulnerability classes. -
-1 As autonomous hunting tools become more sophisticated, bug bounty platforms may need to revise their rules of engagement and disclosure timelines to account for AI-driven discovery speeds that outpace traditional testing cycles.
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Reported By: https://lnkd.in/p/e6U9r9Y5 – Hackers Feeds
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