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## https://sploitus.com/exploit?id=8E6551D7-61DE-5FFB-889D-59850B882F31
# PwnedAgent
> **Author:** PwnedBytes0x1
> **Version:** 1.0.0
> **License:** MIT
> **Status:** Production-Ready
---
## The Autonomous Ethical Hacking Agent
**PwnedAgent** is a comprehensive, AI-driven ethical hacking and cybersecurity research framework designed for bug bounty hunters, penetration testers, red team operators, and security researchers. It represents a complete cognitive architecture for autonomous vulnerability discovery, exploitation, and responsible disclosure.
This repository is not merely a collection of scripts โ it is a **living, reasoning system** that encapsulates decades of offensive security knowledge into a structured, extensible, and intelligent agent architecture.
---
## What Makes PwnedAgent Different
| Feature | Traditional Tools | PwnedAgent |
|---------|------------------|------------|
| **Reasoning** | Static signatures | Context-aware tactical reasoning |
| **Adaptation** | Manual configuration | Self-improving through feedback loops |
| **Scope Safety** | Human-dependent | Kernel-enforced hard boundaries |
| **Attack Chains** | Isolated tests | Automated multi-step chain construction |
| **Evasion** | Basic rotation | Adversarial countermeasure intelligence |
| **Reporting** | Manual compilation | Automated PoC + impact visualization |
---
## Repository Architecture
```
PwnedAgent/
โ
โโโ kernel/ # Safety, orchestration, and resource governance
โ โโโ scope-guardian.md # Hard scope enforcement and boundary validation
โ โโโ rate-limit-governor.md # Intelligent throttling to avoid disruption
โ โโโ state-manager.md # Session state and context persistence
โ โโโ audit-logger.md # Complete audit trail for all actions
โ โโโ abort-conditions.md # Emergency stop and safety triggers
โ โโโ resource-scheduler.md # Computational resource optimization
โ
โโโ memory/ # Multi-layer cognitive memory
โ โโโ episodic/ # Session-specific context and findings
โ โโโ semantic/ # Long-term security knowledge (CWEs, exploits, patterns)
โ โโโ procedural/ # Learned muscle memory and technique optimization
โ
โโโ cognition/ # Real-time tactical reasoning engine
โ โโโ core-loop/ # OODA loop implementation for hacking
โ โโโ tactical-reasoning/ # Skill selection, pivot generation, chain optimization
โ โโโ attack-surface-pruning/ # Intelligent surface reduction
โ
โโโ methodology/ # Complete testing methodologies
โ โโโ phase-based/ # Structured by engagement phase
โ โโโ target-type-specific/ # Tailored by application architecture
โ โโโ time-boxed/ # Optimized for time constraints
โ โโโ vulnerability-class/ # Deep-dive systematic hunting guides
โ โโโ tactical-decision-trees/ # Conditional decision frameworks
โ โโโ platform-specific/ # Bug bounty platform optimization
โ
โโโ skills/ # Granular exploitation capabilities
โ โโโ reconnaissance/ # Information gathering techniques
โ โโโ authentication-session/ # Auth bypass and session attacks
โ โโโ input-validation-injection/ # All injection-class vulnerabilities
โ โโโ unicode-parser-abuse/ # Unicode-based WAF bypass and parser attacks
โ โโโ client-side-browser/ # XSS, CSRF, CORS, browser abuse
โ โโโ api-service-layer/ # API testing, GraphQL, WebSocket
โ โโโ business-logic-state/ # Logic flaws and workflow abuse
โ โโโ cms-exploitation/ # CMS-specific exploitation guides
โ โโโ modern-framework-abuse/ # Next.js, .NET, framework-specific attacks
โ โโโ impact-escalation/ # Privilege escalation and impact maximization
โ โโโ automation-intelligence/ # Fuzzing, CVE hunting, anomaly detection
โ โโโ ai-native-targets/ # LLM/AI application security testing
โ
โโโ chains/ # Pre-constructed attack chains
โ โโโ discovery/ # Surface mapping chains
โ โโโ auth-chains/ # Authentication bypass chains
โ โโโ injection-chains/ # Injection to RCE escalation
โ โโโ client-side-chains/ # XSS-to-account-takeover chains
โ โโโ logic-chains/ # Business logic abuse chains
โ โโโ cross-domain-chains/ # Multi-domain impact chains
โ โโโ cms-specific-chains/ # CMS exploit chains
โ โโโ xbow-grade-chains/ # High-impact crossbow-grade chains
โ
โโโ tools/ # Tool abstractions and integrations
โโโ findings/ # Finding documentation and reporting
โโโ tradecraft/ # Operational security and evasion
โโโ countermeasures/ # WAF evasion and bot detection bypass
โโโ intelligence/ # Threat intelligence and target research
โโโ platform-ops/ # Bug bounty platform integrations
โโโ feedback/ # Triage feedback and learning loops
โโโ evolution/ # Self-improvement and skill evolution
โโโ swarm/ # Multi-agent coordination
โโโ meta/ # Self-monitoring and performance analytics
```
---
## Quick Start
### 1. Clone and Initialize
```bash
git clone https://github.com/PwnedBytes0x1/PwnedAgent.git
cd PwnedAgent
```
### 2. Read the Boot Sequence
```bash
cat BOOT_SEQUENCE.md
```
The boot sequence initializes the agent's cognitive state and validates all safety constraints before any testing begins.
### 3. Choose Your Methodology
Based on your target type and time constraints, select a methodology from `methodology/`:
| Scenario | Recommended Methodology |
|----------|------------------------|
| Quick recon | `methodology/time-boxed/2-hour-recon-sprint.md` |
| Focused hunt | `methodology/time-boxed/4-hour-focused-hunt.md` |
| Deep assessment | `methodology/phase-based/` |
| API target | `methodology/target-type-specific/api-first-application.md` |
| AI/LLM target | `methodology/target-type-specific/ai-llm-application.md` |
### 4. Load Relevant Skills
Skills are modular โ load only what you need:
```bash
# Example: Load SQL injection hunting skills
cat skills/input-validation-injection/query-language/sqli.md
# Example: Load authentication bypass skills
cat skills/authentication-session/auth-mechanisms/auth-testing.md
```
### 5. Execute Attack Chains
Chains are pre-built multi-step attacks:
```bash
# Example: SQLi to RCE chain
cat chains/injection-chains/sqli-to-rce.md
# Example: IDOR to full compromise
cat chains/auth-chains/idor-to-full-compromise.md
```
---
## Core Principles
### 1. Ethics First
PwnedAgent is designed exclusively for **authorized security testing**. Every component enforces:
- Explicit scope validation before any action
- Rate limiting to prevent service disruption
- Complete audit logging for accountability
- Automatic abort on scope violation
### 2. Intelligence Over Force
The framework prioritizes:
- Contextual reasoning over brute force
- Precision targeting over spray-and-pray
- Adaptive evasion over static techniques
- Chain construction over isolated tests
### 3. Continuous Evolution
PwnedAgent learns from:
- Triage feedback and duplicate analysis
- Historical exploit patterns
- Adversarial simulation outcomes
- Technique fitness scoring
---
## Safety Architecture
```
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ SAFETY KERNEL LAYER โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ Scope Guardian โโ Rate Limit Governor โ
โ โ โ โ
โ Audit Logger โโ Abort Conditions โ
โ โ โ
โ Resource Scheduler โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ
โผ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ COGNITIVE ENGINE โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโค
โ Planner โ Executor โ Observer โ โ
โ Reflector โ Skill Selector โ โ
โ Confidence Calibrator โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
```
Every action flows through the **Safety Kernel** before execution. No exceptions.
---
## Methodology Coverage
### OWASP Top 10 (2021) Coverage
| OWASP Category | Coverage Status | Primary Skills |
|----------------|----------------|----------------|
| A01: Broken Access Control | Complete | `skills/authentication-session/authorization/` |
| A02: Cryptographic Failures | Complete | `skills/authentication-session/auth-mechanisms/` |
| A03: Injection | Complete | `skills/input-validation-injection/` |
| A04: Insecure Design | Complete | `skills/business-logic-state/` |
| A05: Security Misconfiguration | Complete | `skills/authentication-session/protective-controls/` |
| A06: Vulnerable Components | Complete | `skills/automation-intelligence/static-intel/` |
| A07: Auth Failures | Complete | `skills/authentication-session/auth-mechanisms/` |
| A08: Software/Data Integrity | Complete | `skills/input-validation-injection/object-stream/` |
| A09: Logging Failures | Partial | `skills/authentication-session/protective-controls/` |
| A10: SSRF | Complete | `skills/input-validation-injection/server-side-request/` |
### Vulnerability Classes Covered
- **Injection:** SQLi, NoSQLi, SSTI, CSTI, Command Injection, LDAP/XPath Injection
- **Authentication:** JWT attacks, OAuth flow abuse, SAML bypass, MFA bypass, session hijacking
- **Authorization:** IDOR, BAC, privilege escalation, forced browsing, path traversal
- **Client-Side:** XSS (all types), CSRF, CORS misconfiguration, clickjacking, prototype pollution
- **Server-Side:** SSRF, XXE, LFI/RFI, file upload abuse, deserialization
- **Logic:** Business logic flaws, race conditions, payment manipulation, workflow bypass
- **API:** GraphQL abuse, REST method abuse, WebSocket/Socket.IO testing, mass assignment
- **Modern:** Unicode parser abuse, cache poisoning, HTTP request smuggling, host header injection
- **AI/LLM:** Prompt injection, training data extraction, model exfiltration, RAG poisoning
---
## Chain Complexity Levels
| Level | Description | Example |
|-------|-------------|---------|
| **Bronze** | Single-step vulnerability | Reflected XSS |
| **Silver** | Two-step chain | IDOR โ PII exposure |
| **Gold** | Multi-step with escalation | SSRF โ Metadata โ Cloud takeover |
| **Platinum** | Cross-domain with impact | Subdomain takeover โ Session theft โ Admin access |
| **Diamond (XBow)** | Full compromise chains | Unicode WAF bypass โ SSTI โ RCE โ Container escape |
---
## Intelligence & Research
PwnedAgent integrates multiple intelligence sources:
- **Historical DNS cache** for infrastructure tracking
- **Wayback pattern mining** for endpoint discovery
- **CVE-to-skill translation** for rapid exploit development
- **Triage behavior modeling** for report optimization
- **Hunter activity monitoring** for competitive intelligence
---
## Contributing
We welcome contributions from the security community. Please read:
- `CONTRIBUTING.md` โ Contribution guidelines
- `CODE_OF_CONDUCT.md` โ Community standards
- Security issues: Report privately to pwnedbytes@gmail.com
### Areas of Interest
- New attack chain constructions
- Target-type-specific methodologies
- Evasion technique improvements
- AI-native target testing capabilities
---
## Disclaimer
**PwnedAgent is intended exclusively for authorized security testing and research.** Unauthorized access to computer systems is illegal. This tool is provided for educational and professional security assessment purposes only. Always obtain explicit written permission before testing any system you do not own.
The authors assume no liability for misuse or damage caused by this tool. By using PwnedAgent, you agree to use it responsibly and ethically.
---
## Acknowledgments
- The global bug bounty community for sharing knowledge
- OWASP for their comprehensive security resources
- CVE and NVD for vulnerability intelligence
- All security researchers who publish their findings responsibly
---
**Built with precision. Honed through thousands of engagements. Ready for the next target.**
*โ PwnedBytes0x1*