CyberSecurityUP

Advanced Command and Control Framework for Authorized Red Team Operations

19
6
100% credibility
Found Mar 02, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

RTLC2 is a full-featured command and control framework for authorized red team operations, featuring a modular C/C++17 agent, Go-based team server, React web interface, and capabilities including evasion modules, malleable C2 profiles, and persistence mechanisms.

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AI-Generated Review

What is RTLC2?

RTLC2 is an advanced command and control framework built for authorized red team operations, letting operators deploy cross-platform agents on Windows, Linux, and macOS that beacon back to a central Go-based team server. You get a React web UI for real-time dashboards, tasking agents with shells, screenshots, keylogs, injections, and 40 other commands via HTTP, DNS, SMB, or P2P transports. It solves the pain of juggling multiple C2 tools by packing evasion, post-exploitation, and collaboration into one proprietary package using C++17 agents.

Why is it gaining traction?

With 67 Beacon Object Files, 23 malleable profiles mimicking legit traffic like GitHub API or Windows Update, and built-in evasion against AMSI/ETW, it stands out for ops needing advanced command obfuscation without constant tweaks. The web interface offers interactive consoles, auto-tasks, RBAC, and WebSocket chat—features that beat bare CLI servers—while payload generators spit out EXEs, DLLs, or PowerShell cradles tuned for OPSEC. Early adopters dig the all-in-one setup for quick teamserver spins on Kali.

Who should use this?

Red team leads running authorized engagements who want a modern alternative to Cobalt Strike forks, especially for multi-op campaigns with lateral movement, persistence, and SOCKS proxies. Security researchers testing advanced GitHub security workflows or simulating APT traffic will appreciate the BOF arsenal and privilege escalation primitives. Skip if you're doing blue-team drills—stick to open-source like Sliver.

Verdict

Impressive feature density for v0.7.0, but 19 stars and 1.0% credibility score scream early alpha—docs are solid but expect bugs in edge evasion. Grab it for red team proof-of-concepts if you can build from source; otherwise, wait for stability.

(198 words)

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