How Viper Works
Viper is designed as a modular adversary simulation and red teaming platform that integrates core tools and functionalities required for cybersecurity assessments. The platform operates by combining a user-friendly interface with backend capabilities that support orchestration, evasion, and post-exploitation tasks.
At its core, Viper uses an MCP (Module Control Protocol) server to expose its functionalities as APIs. This allows for seamless integration with external tools and AI-driven workflows. The Skill framework abstracts common red teaming patterns—such as lateral movement, persistence, and privilege escalation—into reusable modules. These Skills are built on top of the MCP APIs, enabling users to execute complex operations without manual intervention, particularly in dynamic internal network environments.
The platform’s integrated Large Language Model (LLM) agent enhances decision-making by providing intelligent suggestions, automating repetitive tasks, and generating context-aware reports.
Viper’s session management system acts as a bridge between the red team’s tools and the compromised hosts. Every action—from payload execution to data exfiltration—relies on maintaining stable sessions. The MCP server ensures these sessions are monitored, logged, and secured against detection. This design allows for AI-driven internal network penetration, where the LLM agent can analyze network topology, suggest optimal pivot points, and even generate custom payloads tailored to the target’s defenses.
The platform also supports multi-user collaboration with role-based permissions, ensuring team members can coordinate without compromising operational security. Notifications and alerts are automated, allowing red teams to monitor target environments 24/7. For instance, if a new host is compromised, Viper can push alerts via configured channels (e.g., DingTalk or ServerChan) and log the event for later analysis.
Under the hood, Viper leverages over 100 post-exploitation modules aligned with the MITRE ATT&CK framework, covering techniques from initial access to impact. The platform also includes defense evasion tools, such as anti-tracking mechanisms, proxy support, and process injection techniques, to bypass endpoint protections like endpoint detection and response (EDR) systems.
The Claude Code Plugin, introduced in version 3.1.11, allows Viper’s MCP tools to be used directly within the Claude AI environment, facilitating AI-assisted red teaming workflows. This integration bridges the gap between natural language processing and offensive security operations, making it easier to automate complex scenarios.
Viper’s architecture is further optimized for containerized deployment via Docker, reducing setup time and ensuring consistency across environments. The platform also supports multi-level payload control, which is critical for managing large-scale red team operations where different payloads may be required for various targets. Additionally, Viper replicates the functionality of msfconsole, offering familiar hotkeys, smart prompts, and real-time output for Metasploit users.
Key components of Viper’s backend include an updated Metasploit Framework integration (as seen in version 3.1.10), which ensures compatibility with the latest exploit modules. The platform also replaces custom socket implementations with the official rex-core/socket library, improving stability and performance.
Use Cases
Viper is primarily used for adversary simulation and red teaming, where its ability to mimic real-world attack chains is critical. One of its strongest applications is internal network penetration testing, where red teams must navigate complex environments with varying levels of security controls. Viper’s Skill-based approach allows teams to abstract common attack patterns—such as credential harvesting, lateral movement, or persistence—into reusable workflows, reducing the cognitive load on operators.
For example, a red team assessing a corporate network might use Viper’s LDAP server module to simulate an internal authentication service, then deploy phishing emails via the intelligent phishing module to capture credentials. Once access is gained, the team can leverage pivot graphs to visualize network paths and use multi-level proxies to maintain anonymity. The LLM agent can then analyze the captured data, suggest next steps, and even generate automated reports highlighting vulnerabilities.
Another key use case is defense evasion testing, where Viper’s built-in tools—such as parent process PID spoofing and anti-tracking mechanisms—help red teams evaluate an organization’s ability to detect and respond to advanced threats. These features are particularly useful against environments with endpoint protection platforms (EPP) or EDR, where traditional payloads may be flagged.
Viper is also employed for social engineering assessments, where its random identity generation module and professional email templates allow teams to craft convincing phishing campaigns. The platform’s automated notification system ensures that once a target interacts with a malicious payload, the red team is immediately alerted, enabling rapid follow-up actions.
In large-scale red team operations, Viper’s multi-user collaboration features and role-based permissions enable teams to divide tasks efficiently. Additionally, Viper’s Docker deployment allows organizations to spin up a full red team infrastructure in minutes, making it ideal for rapid assessment scenarios.
Viper’s alignment with the MITRE ATT&CK framework ensures that red teams can systematically test an organization’s defenses against known adversary tactics. For example, the platform’s Log4j passive scanning module helps identify vulnerable systems before exploitation, while its credential harvesting tools simulate attacks like Pass-the-Hash or Golden Ticket.
Beyond offensive operations, Viper can be used for security awareness training, where its automated report generation and exploit success metrics help organizations quantify their risk exposure. Its multi-model AI support (e.g., OpenAI, Deepseek) also allows teams to experiment with different LLM configurations for optimal results.
Integrated LLM Agent and AI Automation
Viper’s built-in LLM agent is a cornerstone of its automation capabilities. This agent processes natural language commands, analyzes network data, and suggests optimal attack paths based on real-time feedback. The agent also supports multi-model integration, allowing users to switch between OpenAI, Deepseek, or other LLMs depending on task requirements.
The LLM’s role extends to intelligent decision support, where it can generate custom payloads, automate report writing, and even simulate adversary tradecraft. For example, if a red team is testing for Log4j vulnerabilities, the LLM can draft exploit code, analyze the target’s network topology, and suggest evasion techniques to avoid detection. This reduces the manual effort required for complex operations, allowing teams to focus on strategy rather than execution.
Comprehensive MITRE ATT&CK Coverage
Viper includes over 100 post-exploitation modules that map directly to the MITRE ATT&CK framework. Each module is designed to be modular and reusable, meaning red teams can chain them together to simulate multi-stage attacks.
- Initial Access: Modules for phishing email generation, web delivery, and exploit execution (e.g., EternalBlue, Log4j).
- Persistence: Techniques like registry run keys, scheduled tasks, and service persistence, with options for process injection to evade detection.
- Defense Evasion: Features like process hollowing, PID spoofing, and anti-forensic techniques to bypass EDR/XDR solutions.
- Credential Access: Tools for password dumping, credential harvesting, and pass-the-hash attacks.
- Lateral Movement: SMB relay attacks, RDP hijacking, and Kerberoasting modules to simulate internal adversary movement.
Automated Orchestration and Notifications
Viper’s automated workflows enable 24/7 monitoring of target environments. Once a session is established, the platform can trigger predefined actions, such as:
- Alerting via DingTalk, ServerChan, or email when critical events occur (e.g., new host compromised, privilege escalation achieved).
- Session logging and behavioral analysis to detect anomalies.
This level of automation is particularly useful in long-running engagements, where manual monitoring would be impractical. For example, if a red team deploys a phishing campaign and a target clicks a malicious link, Viper can automatically capture credentials, establish a session, and notify the team—all without human intervention.
Defense Evasion and Anti-Tracking
To ensure stealth, Viper incorporates multi-layered evasion techniques, including:
- Anti-tracing mechanisms to obscure command-and-control (C2) traffic.
- Multi-level proxy support (e.g., SOCKS, HTTP proxies) for anonymity.
- Parent PID spoofing to mimic legitimate processes (e.g., svchost.exe).
Multi-Platform and Multi-User Support
Viper supports Windows, Linux, macOS, and Android, making it versatile for assessing diverse environments. The platform’s cross-platform compatibility ensures that red teams can operate seamlessly regardless of the target’s operating system. For example, a team might use Linux-based modules for initial access, then pivot to Windows hosts for lateral movement.
On the collaboration front, Viper includes role-based permissions and operation logging, allowing teams to:
- Assign specific tasks to team members (e.g., reconnaissance, exploitation, post-exploitation).
- Audit all actions for compliance and post-engagement analysis.
This structured approach improves team efficiency and operational security (OPSEC) during engagements.
Custom Extensibility and Plugin System
Viper’s Python-based plugin system allows users to extend its functionality. Developers can create custom modules for specialized scenarios, such as:
- Integration with proprietary tools (e.g., custom C2 frameworks).
- AI-driven automation scripts for unique workflows.
The Claude Code Plugin, introduced in version 3.1.11, takes extensibility further by enabling Viper’s MCP tools to be used within the Claude AI environment. This allows red teams to:
- Generate attack plans using natural language prompts.
- Automate complex workflows by combining Viper’s modules with Claude’s LLM capabilities.
Advanced Networking and Pivoting
Viper includes intranet routing, port forwarding, and SOCKS proxy capabilities to handle complex network environments. These features are essential for internal network penetration, where red teams must navigate segmented networks, firewalls, and air-gapped systems. Key networking tools include:
- Pivot graphs to visualize network paths and plan movement.
Bilingual Documentation and Developer-Friendly Design
Viper provides detailed, bilingual (English and Chinese) documentation, including:
- Quick-start guides for new users.
- Technical deep dives into modules and evasion techniques.
- API references for the MCP server.
This ensures that users—whether red team operators, developers, or security researchers—can quickly onboard and customize the platform. The documentation also includes principle analyses, explaining how each module works and how it can be adapted for specific scenarios.
Additionally, Viper’s Docker support simplifies deployment, allowing teams to set up a full red team infrastructure in minutes.