🌐 Network Peers
Network Peer Monitoring is a specialized extension of Jibril's Network eBPF Logic that focuses on comprehensive tracking and analysis of all network connections and their associated endpoints. By maintaining a complete graph of network relationships, Jibril creates a detailed map of which processes communicate with which remote peers.
🕸️ Network Relationship Mapping
Complete DNS resolution chains and connection graphs enable detection of sophisticated evasive techniques. From C2 domains to lateral movement, peer relationships reveal the attack path.
⚙️ How Network Peer Monitoring Works
🔄 Comprehensive Flow Tracking
Jibril leverages its eBPF programs to maintain a complete record of all network flows in the system:
- Every socket operation (connect, accept, bind) is captured and logged
- Both ingress (incoming) and egress (outgoing) traffic is monitored
- Local peer-to-peer communications are tracked alongside external connections
- Complete socket lifecycle monitoring from creation to closure
🗺️ DNS Resolution Chain Mapping
Jibril's in-kernel DNS processing capabilities are extended to maintain the complete resolution path for each connection:
- All DNS queries associated with a particular flow are recorded
- CNAME chains are preserved, showing the complete resolution path
- Each A/AAAA record is linked to the flows that resulted from its resolution
- Historical resolution data is maintained for correlation and analysis
🕸️ Relationship Graph Construction
Using eBPF maps, Jibril builds and maintains a sophisticated relationship graph that connects:
- Processes to their network connections
- Connections to their remote endpoints
- DNS resolutions to the resulting connections
- Parent-child process relationships that initiated connections
- Temporal sequences of connection establishment
🧩 Contextual Correlation Engine
Network peer data is enriched with additional system context:
- Binary execution information for processes establishing connections
- File access patterns associated with networked processes
- User context and permission levels for connection operations
- Container and namespace boundaries for precise isolation mapping
🔍 Pattern Analysis and Anomaly Detection
Jibril analyzes the network peer relationship graph to identify:
- ⚠️ Unusual Connection Patterns
Between peers that don't normally communicate - 🚨 Unexpected Channels
Communication through non-standard protocols or ports - 📊 Anomalous Data Transfer
Volumes or frequencies that deviate from baselines - 🎲 Suspicious DNS Chains
Resolution chains that may indicate domain generation algorithms
📍 Where Network Peer Monitoring Operates
Jibril's Network Peer Monitoring capabilities operate as an extension of its core Network eBPF Logic:
🔌 Kernel-level Socket Operations
Monitoring occurs directly at the socket interface level
📡 Protocol Stack Integration
Visibility across all network protocols (TCP, UDP, ICMP, etc.)
🌐 Cross-namespace Awareness
Connections are tracked across container and namespace boundaries
🗺️ System-wide Coverage
All network peer relationships throughout the system are captured and analyzed
✨ Why Network Peer Monitoring Is Important
🛡️ Advanced Threat Detection
By understanding the complete network relationship graph, Jibril can identify sophisticated attack patterns that might be missed when examining individual connections in isolation.
🔀 Lateral Movement Detection
The comprehensive peer relationship tracking enables detection of lateral movement attempts where compromised systems attempt to connect to other internal resources.
🚫 Data Exfiltration Prevention
By correlating file access with network peer connections, Jibril can identify potential data exfiltration attempts where sensitive files are accessed before unusual external connections.
🎭 Command and Control Identification
The DNS resolution chain mapping helps identify evasive command and control techniques that leverage multiple redirections or domain generation algorithms.
🔬 Forensic Investigation Support
The detailed historical record of all network peer relationships provides invaluable context for security investigations, allowing analysts to trace the complete path of an attack through the network.