- Core Components
- Packet Capture - How will I collect network data? (e.g., use Rust crates like pnet or external tools like libpcap.)
- Threat Detection,
- Rule-based detection (e.g., suspicious IPs or patterns)?
- AI/ML-based anomaly detection (e.g., DDoS patterns)?
- Visualization/Reporting - How will you show results to users? (CLI, GUI, or dashboard?)
- Notification System - What kind of alerts? (e.g., emails, desktop notifications, Slack integrations.)
- Performance Considerations - How will you ensure it works well on both high- and low-bandwidth systems?
- Goals
- MVP - a cli tool that monitors basic packet data and flags suspicious activity
- Long-term Vision - a desktop/web based dashboard
- Ideas,
- Packet Capture,
- Protocol Decoding,
- Add decoding for more protocols beyond HTTP/S and DNS, such as FTP, SMTP, or SSH.
- Highlight suspicious payloads (e.g., encoded data in HTTP headers or commands in SSH traffic).
- Filter Traffic,
- Allow users to filter captured packets by source/destination IP, port, or protocol.
- Save Captures,
- Add functionality to save raw packet captures in .pcap format for further analysis with tools like Wireshark.
- Real-Time Processing,
- Enable streaming capture and analysis for real-time threat detection.
- Protocol Decoding,
- Basic Threat Detection
- Enhanced Rule-Based Detection,
- Use community-maintained blocklists for known malicious IPs or domains (e.g., AbuseIPDB, Threat Intelligence feeds).
- Add rules for specific attack patterns, such as SQL injection attempts in HTTP traffic.
- Anomaly Detection,
- Incorporate simple anomaly detection based on traffic patterns, e.g.,
- Large bursts of traffic.
- Traffic to unusual ports for a given time of day.
- Incorporate simple anomaly detection based on traffic patterns, e.g.,
- Detection Scoring,
- Assign a "threat score" to detected events based on severity (e.g., minor, medium, critical).
- Allow users to customize alert thresholds based on these scores.
- Pluggable Rules,
- Enable users to add custom detection rules via configuration files.
- Enhanced Rule-Based Detection,
- Alerts
- Flexible Notification Methods,
- Add support for multiple alert types,
- Email notifications.
- Push notifications (via services like Pushbullet or Pushover).
- Integration with Slack or Discord.
- Add support for multiple alert types,
- Customizable Alerts:
- Let users specify which threats trigger alerts (e.g., port scans but not DNS anomalies).
- Interactive Alerts:
- Provide suggestions for mitigation in the alert messages (e.g., "Block IP 192.168.1.100 using your firewall").
- Alert Aggregation:
- Group similar alerts to prevent spamming the user with repetitive notifications.
- Flexible Notification Methods,
- Lightweight CLI
- Interactive Mode:
- Add an interactive mode where users can run commands step-by-step, view live traffic, and inspect packet details.
- Profiles for Common Scenarios:
- Predefine CLI profiles for common use cases:
- Example: threat-monitor --profile "home-wifi" for home network threats.
- Command Autocompletion:
- Implement shell autocompletion for commands and flags to enhance usability.
- CLI with Colorized Output:
- Highlight critical alerts or unusual traffic in color-coded text for better readability.
- Interactive Mode:
- Simple Reporting
- Detailed Report Formats:
- Offer multiple formats for reports:
- Text files for terminal output.
- JSON for machine-readability and integration with external tools.
- HTML for visually appealing, shareable reports.
- Aggregated Statistics:
- Include summary statistics in the report:
- Total packets analyzed.
- Number of threats detected by category.
- Geographic information for source IPs (using GeoIP databases).
- Include summary statistics in the report:
- Periodic Reports:
- Schedule automatic generation of reports (e.g., daily or weekly).
- Example: threat-monitor --report --frequency daily
- Threat Visualizations:
- Incorporate basic visualizations using ASCII graphs in the CLI or export options for external tools (e.g., CSV/JSON for dashboards).
- Detailed Report Formats:
- Conversational AI,
- Can we integarte a sample AI chatbot that answers based on what data it has access to or can see?
- Packet Capture,
The first priority is the "Packet Capture" goal. We want to figure out a CLI mechanism that allows us to explore the nature of capturing packets via a cli and via many available configurations and options.
For a CLI tool focusing on packet capture and configuration options, it's essential to offer a feature set that is flexible, interactive, and easy to use while catering to different user needs. Here’s a breakdown of options and features you can implement for your CLI:
- Option:
--interface <name>
- Description: Allow users to specify which network interface to capture packets from.
- Interactive Mode: List available interfaces and let the user select one.
- Option:
--protocol <TCP|UDP|ICMP|ALL>
- Description: Enable filtering by specific protocols (e.g., capture only TCP, UDP, or ICMP packets).
- Interactive Mode: Use a menu to select the desired protocol(s).
- Option: --port <port_number>
- Description: Capture packets targeting specific ports.
- Interactive Mode: Prompt the user to enter one or more port numbers.
- Option: --source-ip or --destination-ip
- Description: Filter packets based on source or destination IP addresses.
- Interactive Mode: Let users input IP addresses interactively or choose from a pre-defined list.
- Option: --limit
- Description: Specify the maximum number of packets to capture.
- Interactive Mode: Prompt the user for the number of packets.
- Option: --duration
- Description: Set a time limit for the capture session.
- Interactive Mode: Ask the user for a capture duration.
- Option: --output <file.pcap>
- Description: Save captured packets to a .pcap file for further analysis.
- Interactive Mode: Prompt for a filename and format.
- Option: --verbose, --summary
- Description: Toggle between detailed packet information or just a summary (e.g., source/destination, protocol, and port).
- Interactive Mode: Ask the user which display mode they prefer.
- Option: --realtime
- Description: Display packets in real-time as they are captured.
- Interactive Mode: Confirm whether the user wants real-time output.
- Option: --filter ""
- Description: Advanced users can specify Berkeley Packet Filter (BPF) syntax for complex filtering.
- Interactive Mode: Provide examples of BPF filters or allow users to input custom filters.
- Option: --detect
- Description: Load a rule file for detecting suspicious patterns (e.g., known malicious IPs).
- Interactive Mode: Offer a selection of pre-defined rule files or upload custom ones.
- Option: --min-size and --max-size
- Description: Capture packets within a specific size range.
- Interactive Mode: Let users specify minimum and maximum packet sizes interactively.
- Option: --log (e.g., info, warn, error)
- Description: Set the verbosity level for logs.
- Interactive Mode: Provide a menu for selecting log levels.
- Option: --alert
- Description: Send alerts for flagged packets via email, Slack, or desktop notifications.
- Interactive Mode: Allow users to configure alert methods interactively.
- Option: --summary-report
- Description: Generate a summary report after the capture session.
- Interactive Mode: Prompt for a filename and preferred format (e.g., txt, json, html).
- Option: --interactive-help
- Description: Offer detailed explanations of each option interactively.
- Interactive Mode: Provide step-by-step guidance for each feature.
- Interface Selection
- CLI:
--interface eth0
- Interactive: List all available interfaces and select one.
- CLI:
- Protocol Filtering
- CLI:
--protocol TCP
- Interactive: "Which protocol do you want to monitor?" (User selects TCP).
- CLI:
- Port Filtering
- CLI:
--port 80
- Interactive: "Enter a port to monitor: (default: ALL)"
- CLI:
- Save to File
- CLI:
--output capture.pcap
- Interactive: "Save captured packets? (y/n)" → Prompt for filename.
- CLI:
- Real-Time View
- CLI:
--realtime
- Interactive: "Display packets in real-time? (y/n)"
- CLI:
- Protocol Stacking Analysis
- Description: Analyze multiple protocol layers in a single packet (e.g., TCP over IPv4 over Ethernet).
- Use Case: Helps hobbyists explore how different protocol layers interact.
- Custom Filters
- Feature: Support logical operators in filters (e.g., --filter "src_ip=192.168.1.1 AND protocol=TCP").
- Interactive Mode: Let users build filters with an intuitive interface.
- Regex Matching
- Feature: Use regex for payload filtering (e.g., detect specific text patterns in HTTP headers or payloads).
- Use Case: Identify HTTP headers with suspicious commands or strings.
- Payload Decoding Feature: Decode payloads for supported protocols (e.g., HTTP, DNS, FTP). Use Case: Show the content of HTTP headers, DNS queries/responses, or FTP commands.
- Traffic Flow Analysis Feature: Reconstruct TCP streams to visualize full client-server interactions. Use Case: Reassemble HTTP requests and responses or SSH sessions.
- Packet Timing Analysis Feature: Measure inter-packet arrival times to detect anomalies like latency spikes. Use Case: Identify patterns indicative of DoS or connection issues.
- Entropy Analysis Feature: Calculate entropy of packet payloads to detect potential encrypted or obfuscated data. Use Case: Highlight unusual traffic like data exfiltration attempts.
- Protocol Usage Stats
- Feature: Summarize protocol usage (e.g., percentage of TCP, UDP, ICMP).
- Use Case: Provide a quick overview of traffic distribution.
- Source/Destination Stats
- Feature: List the most frequent source and destination IPs or ports.
- Use Case: Identify top talkers in the network.
- Topology Map
- Feature: Visualize communication flows between IPs in a CLI-based ASCII art or generate a graph file (e.g., Graphviz DOT format).
- Use Case: Understand network communication patterns.
- Session Export
- Feature: Export session data (e.g., all packets belonging to a single TCP connection).
- Use Case: Isolate and analyze individual conversations.
- Anomaly Detection
- Feature: Flag packets with unusual behavior (e.g., high TTL values, malformed headers).
- Use Case: Detect potential malicious activity or configuration issues.
- Rate Limiting
- Feature: Limit the number of packets displayed per second in real-time mode.
- Use Case: Prevent flooding the CLI output on busy networks.
- Color-Coded Output
- Feature: Use colors to categorize packets (e.g., red for suspicious, green for normal).
- Use Case: Quickly identify packet types or anomalies.
- DNS Analysis
- Feature: Decode DNS queries and responses, highlighting suspicious domains.
- Use Case: Help hobbyists track down malicious or misconfigured DNS activity.
- HTTP Inspection
- Feature: Extract and display HTTP methods, URLs, and headers.
- Use Case: Inspect web traffic and spot anomalies.
- TLS/SSL Analysis
- Feature: Extract and display TLS handshake details (e.g., certificates, cipher suites).
- Use Case: Ensure secure communication and detect improper configurations.
- Packet Size Distribution
- Feature: Display a histogram of packet sizes.
- Use Case: Spot traffic patterns, like large file transfers or attacks with tiny packets.
- Time-Based Filtering
- Feature: Capture packets only within a specific time window.
- Use Case: Analyze traffic for a particular event or interval.
- Geolocation
- Feature: Map IP addresses to geographical locations using GeoIP databases.
- Use Case: Understand the global distribution of traffic.
- Scriptable Output
- Feature: Export results in JSON or CSV for integration with other tools.
- Use Case: Analyze data further with Python or other scripts.
- Webhook Integration
- Feature: Send packet summaries or alerts to a webhook.
- Use Case: Notify hobbyists when suspicious traffic is detected.
- Plugin Support
- Feature: Allow users to write custom packet handlers in Rust or other languages.
- Use Case: Extend functionality without modifying the core code.
- Packet Replay
- Feature: Save captured packets and replay them in a virtual network.
- Use Case: Help hobbyists practice analyzing specific traffic patterns.
- Protocol Learning Mode
- Feature: Annotate packets with educational notes (e.g., explain headers and flags).
- Use Case: Teach beginners how network protocols work.
- Simulation Mode
- Feature: Generate synthetic traffic for testing and learning.
- Use Case: Simulate attacks or specific network behaviors.
- Signature-Based Detection
- Feature: Match packets against known malicious signatures (e.g., Snort rules).
- Use Case: Highlight traffic matching malware or attack signatures.
- DDoS Pattern Detection
- Feature: Identify patterns indicative of DDoS attacks (e.g., SYN flood, UDP flood).
- Use Case: Alert hobbyists to potential attack scenarios.
- Malware Sandbox Integration
- Feature: Allow users to export payloads for analysis in malware sandboxes.
- Use Case: Investigate suspicious traffic further.
- Low-Bandwidth Mode
- Feature: Optimize for low-power devices by reducing processing overhead.
- Use Case: Run efficiently on Raspberry Pi or similar hardware.
- Asynchronous Processing
- Feature: Process packets asynchronously to maximize performance.
- Use Case: Improve capture rates on busy networks.