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Netflow
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NetFlow-Based Traffic Analysis
analyzing-network-flow-data-with-netflow
mukul975/Anthropic-Cybersecurity-Skills
92
Parse NetFlow v9 and IPFIX records via Python to spot volumetric anomalies, port scans, exfiltration, and C2 beaconing, helping SOC analysts tune detections and validate monitoring coverage with statistical baselines and reports.
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Network Incident Traffic Analysis
analyzing-network-traffic-for-incidents
mukul975/Anthropic-Cybersecurity-Skills
221
Analyzes PCAP captures, Zeek logs, and NetFlow flow data to uncover command-and-control, lateral movement, and exfiltration during security incidents; supports packet-level validation and IOC extraction for triage and response teams.
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Ransomware Network Indicators
analyzing-ransomware-network-indicators
mukul975/Anthropic-Cybersecurity-Skills
326
Analyzes Zeek conn.log and NetFlow exports to discover ransomware indicators such as C2 beaconing, TOR links, outbound exfiltration, DNS anomalies, and to generate composite risk scores.
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Shadow IT Cloud Detection
detecting-shadow-it-cloud-usage
mukul975/Anthropic-Cybersecurity-Skills
291
Analyzes proxy, DNS, and netflow logs with pandas to surface unauthorized SaaS usage, classify discovered domains, and score services so SOC teams can prioritize remediation.
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Network Traffic Baselining
implementing-network-traffic-baselining
mukul975/Anthropic-Cybersecurity-Skills
140
Build statistical baselines from NetFlow/IPFIX exports with Python pandas to profile hourly/daily traffic, per-host stats, protocol ratios, and detect anomalies via z-scores and IQR thresholds for SOC analysts.
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