Results for “network-connections”
20 skillsHunting For Unusual Network Connections
Hunt for unusual network connections by analyzing outbound traffic patterns, rare destinations, non-standard ports, and anomalous connection frequencies from endpoints.
24.6k · bundle
Collecting Volatile Evidence From Compromised Host
Collect volatile forensic evidence from a compromised system following order of volatility, preserving memory, network connections, processes, and system state before they are lost.
24.6k · bundle
Implementing Cloud Workload Protection
Monitors cloud workloads for runtime threats by checking process lists, network connections, file integrity, and resource utilization anomalies on EC2 and GCE instances.
24.6k · bundle
Analyzing Ransomware Network Indicators
Analyze Zeek conn.log and NetFlow data to detect ransomware network indicators including C2 beaconing, TOR exit node connections, data exfiltration, and suspicious DNS patterns.
24.6k · bundle
More results
Detecting Beaconing Patterns With Zeek
Analyzes Zeek conn.log connection intervals using statistical methods to detect C2 beaconing patterns, flagging periodic connections with low jitter.
24.6k · bundle
Conducting Memory Forensics With Volatility
Analyze RAM dumps with Volatility 3 to detect malware, process injection, network connections, and credential theft during incident response.
24.6k · bundle
Network Engineer
Configures and troubleshoots network infrastructure: DNS records, reverse proxies, SSL certificates, firewalls, CDNs, and load balancers.
0
Network Policies Security
Implements Kubernetes network policies for micro-segmentation, covering ingress/egress rules, Calico and Cilium, with a Python CLI for managing and validating policies.
4 · bundle
Exploiting Broken Link Hijacking
Discover and exploit broken link hijacking vulnerabilities by identifying references to expired domains, decommissioned cloud resources, and dead external services that can be claimed by an attacker.
24.6k · bundle
Analyzing Network Traffic For Incidents
Analyzes network traffic captures and flow data to identify adversary activity during security incidents, including command-and-control communications, lateral movement, data exfiltration, and exploitation attempts.
24.6k · bundle
Implementing Network Traffic Baselining
Build network traffic baselines from NetFlow/IPFIX data using Python pandas for statistical analysis, z-score anomaly detection, and hourly/daily traffic pattern profiling.
24.6k · bundle
Detecting Network Anomalies With Zeek
Deploys and configures Zeek network security monitor to passively analyze traffic, generate structured logs, detect anomalous behavior, and create custom detection scripts for threat hunting and incident response.
24.6k · bundle
Configuring Network Segmentation With Vlans
Designs and implements VLAN-based network segmentation on managed switches to isolate network zones, enforce access control between segments, and reduce the attack surface by limiting lateral movement paths in enterprise network environments.
24.6k · bundle
Implementing Network Access Control
Enforces identity-based network access with 802.1X, RADIUS authentication, dynamic VLAN assignment, and endpoint posture assessment using PacketFence.
24.6k · bundle
Network Assess
Internal network assessment. VLAN hopping, ARP spoofing detection, broadcast protocol abuse (LLMNR/NBT-NS/mDNS), network segmentation verification, SNMP enumeration, NFS exposure, router/switch audit, and internal service mapping. Assumes attacker has network access. Uses nmap, arp-scan, nbtscan, snmpwalk, onesixtyone, smbmap, nfs-common, masscan, hping3, and netexec.
21
Network 101
Configure and test common network services (HTTP, HTTPS, SNMP, SMB) for penetration testing lab environments, enabling hands-on practice with service enumeration, log analysis, and security testing.
42.4k
Performing Memory Forensics With Volatility3
Analyze volatile memory dumps using Volatility 3 to extract running processes, network connections, loaded modules, and evidence of malicious activity.
24.6k · bundle
Analyzing Memory Dumps With Volatility
Analyzes RAM memory dumps from compromised systems using the Volatility framework to identify malicious processes, injected code, network connections, loaded modules, and extracted credentials.
24.6k · bundle
Detecting Rootkit Activity
Detects rootkit presence on compromised systems by identifying hidden processes, hooked system calls, modified kernel structures, hidden files, and covert network connections using memory forensics, cross-view detection, and integrity checking techniques.
24.6k · bundle
Analyzing Memory Forensics With Lime And Volatility
Acquires Linux memory using the LiME kernel module and analyzes the image with Volatility 3 to extract processes, network connections, bash history, kernel modules, and injected code for incident response.
24.6k · bundle