Adaptive offensive framework — feedback-driven payload mutation, behavior-profile targeting, and multi-phase campaign execution.
OWN is a multi-phase offensive framework built around an adaptive mutation loop. It probes a target, captures behavioral responses, matches them against loaded profiles, and mutates its next payload accordingly — each phase informed by what the last one learned.
It does not fire fixed signatures. It reads the environment and adapts.
Built to integrate with the badBANANA ecosystem (Blackglass_Suite, zer0DAYSlater, Decoy-Hunter).
probe target
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capture network response (dpkt)
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match against behavior profiles
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log redirects + behavioral signals
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adaptive_mutator — generate payloads from redirect paths
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neural_mutator + obfuscator_engine — mutate and obfuscate
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chimera_injector — fire to highest-value targets from memory_engine
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repeat
Each cycle tightens the payload to the specific environment. The memory engine maintains a ranked target list across runs.
OWN_PACKAGE/
├── own.sh campaign entry point (Termux-native)
├── phases/
│ ├── ai_loop.py core loop — pcap capture + profile matching + action dispatch
│ ├── adaptive_mutator.py redirect-log driven payload mutation
│ ├── adaptive_probe.py environment-aware initial probing
│ ├── chimera_injector.py multi-target payload delivery via memory_engine
│ ├── neural_mutator.py neural-guided payload variant generation
│ ├── memory_engine.py cross-run target ranking and state
│ ├── obfuscator_engine.py HTTP-level payload obfuscation
│ ├── auto_escalator.py privilege escalation automation
│ ├── backdoor_seed.py persistence seeding
│ ├── covert_exfil.py stealth data exfiltration
│ ├── decoy_generator.py fake artifact generation
│ ├── dns_beacon.py DNS-based C2 beacon
│ ├── dns_poisoner.py DNS cache manipulation
│ ├── entropy_harvester.py entropy-based evasion
│ ├── fingerprint_cloner.py host fingerprint spoofing
│ ├── firewall_poison.py firewall rule manipulation
│ ├── ghost_probe.py stealthy host probing
│ └── honeynet_probe.py decoy/honeypot detection
└── core/
└── behavior_profiles.json trigger → action mappings loaded by ai_loop
The ai_loop loads behavior_profiles.json — a set of keyword triggers mapped to response actions. When captured traffic matches a trigger, the configured action fires: alert, inject, escalate, or custom handler. Profiles are swappable at runtime.
git clone https://github.com/GnomeMan4201/OWN.git
cd OWN
pip install -r requirements.txt
./quickstart.shTermux:
bash OWN_PACKAGE/own.shFor authorized security research and controlled lab environments only. Unauthorized use is prohibited.
OWN // badBANANA research // GnomeMan4201
