Results for “network-indicators”
11 skills
mukul975 performing-malware-ioc-extraction
Analyze malicious software to extract actionable indicators of compromise including file hashes, network indicators, registry modifications, and embedded strings, formatted as STIX 2.1 indicators.
24.6k · bundle
mukul975 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
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mukul975 detecting-network-scanning-with-ids-signatures
Detect network reconnaissance and port scanning using Suricata and Snort IDS signatures, threshold-based detection rules, and traffic anomaly analysis to identify Nmap, Masscan, and custom scanning activity.
24.6k · bundle
mukul975 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
mukul975 hunting-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
mukul975 analyzing-indicators-of-compromise
Triages and enriches indicators of compromise (IPs, domains, file hashes, URLs, email artifacts) from phishing emails, security alerts, or threat feeds, assigning confidence scores and dispositions using VirusTotal, AbuseIPDB, MalwareBazaar, and MISP.
24.6k · bundle
mukul975 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
mukul975 detecting-lateral-movement-in-network
Identifies lateral movement techniques in enterprise networks by analyzing authentication logs, network flows, SMB traffic, and RDP sessions using Zeek, Velociraptor, and SIEM correlation rules to detect attackers moving between systems.
24.6k · bundle
mukul975 configuring-snort-ids-for-intrusion-detection
Installs, configures, and tunes Snort 3 intrusion detection system to monitor network traffic for malicious activity using custom and community rulesets, preprocessors, and alert output plugins on authorized network segments.
24.6k · bundle
mukul975 analyzing-cobaltstrike-malleable-c2-profiles
Parse and analyze Cobalt Strike Malleable C2 profiles using dissect.cobaltstrike and pyMalleableC2 to extract C2 indicators, detect evasion techniques, and generate network detection signatures.
24.6k · bundle
mukul975 detecting-mobile-malware-behavior
Analyzes mobile applications for malicious behavior through static analysis, runtime monitoring, and network traffic inspection to identify malware indicators.
24.6k · bundle