Results for “beacon-detection”
12 skillsHunting For Cobalt Strike Beacons
Detect Cobalt Strike beacon network activity using TLS certificate signatures, JA3/JA3S/JARM fingerprints, HTTP C2 profile matching, beacon jitter analysis, and named pipe detection via Zeek, Suricata, and Python PCAP analysis.
24.6k · bundle
Analyzing Command And Control Communication
Analyzes malware command-and-control (C2) communication protocols to understand beacon patterns, command structures, data encoding, and infrastructure for detection development and threat intelligence.
24.6k · bundle
Hunting For Beaconing With Frequency Analysis
Identify command-and-control beaconing patterns in network traffic by applying statistical frequency analysis, jitter calculation, and coefficient of variation scoring to detect periodic callbacks from compromised endpoints.
24.6k · bundle
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Resemble Detect
Detect AI-generated audio, images, video, and text, trace synthesis sources, apply watermarks, verify speaker identity, and analyze media intelligence using the Resemble AI platform.
36.2k · bundle
Wifi Wireless
Guides authorized Wi-Fi security assessments including handshake capture, PMKID collection, rogue AP detection, and offline password policy evaluation using aircrack-ng, hashcat, and Wireshark.
12.8k · bundle
Detecting Mimikatz Execution Patterns
Hunt for Mimikatz execution using command-line patterns, LSASS access signatures, binary indicators, and in-memory detection of known modules.
24.6k · bundle
Detecting Ransomware Precursors In Network
Detects early-stage ransomware indicators in network traffic before encryption begins, using Zeek, Suricata, Arkime, SIEM correlation rules, and threat intelligence feeds to identify Cobalt Strike beacons, Mimikatz signatures, and RDP brute-force attempts.
24.6k · bundle
Analyzing Network Flow Data With Netflow
Parse NetFlow v9 and IPFIX records to detect volumetric anomalies, port scanning, data exfiltration, and C2 beaconing patterns using the Python netflow library.
24.6k · bundle
Building Detection Rules With Sigma
Creates vendor-agnostic detection rules using the Sigma rule format for threat detection across SIEM platforms including Splunk, Elastic, and Microsoft Sentinel.
24.6k · bundle
Detecting Data And Model Poisoning
Detect poisoned training data and backdoored models across the ML pipeline using statistical analysis, activation clustering, and spectral signatures.
24.6k · bundle
Analyzing Cobalt Strike Beacon Configuration
Extract and analyze Cobalt Strike beacon configuration from PE files and memory dumps to identify C2 infrastructure, malleable profiles, and operator tradecraft.
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