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NetFlow
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NetFlow Anomaly Detection
analyzing-network-flow-data-with-netflow
mukul975/Anthropic-Cybersecurity-Skills
472
Parses NetFlow v9/IPFIX data with Python's netflow library, builds traffic baselines, and applies statistical checks to flag volumetric spikes, port scans, data exfiltration, or C2 beaconing before producing a prioritized findings report.
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Network Incident Traffic Analysis
analyzing-network-traffic-for-incidents
mukul975/Anthropic-Cybersecurity-Skills
105
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 Detection
analyzing-ransomware-network-indicators
mukul975/Anthropic-Cybersecurity-Skills
355
Analyze Zeek conn.log or NetFlow data to detect ransomware beaconing, TOR exit node use, high outbound flows, and DNS anomalies, then score risks and map findings to MITRE ATT&CK for reporting.
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Shadow IT Cloud Detection
detecting-shadow-it-cloud-usage
mukul975/Anthropic-Cybersecurity-Skills
368
Detects unauthorized shadow IT SaaS and cloud usage by parsing proxy, DNS, and netflow logs, classifying domains, measuring traffic volumes, and ranking high-risk services for remediation.
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Network Traffic Baselining
implementing-network-traffic-baselining
mukul975/Anthropic-Cybersecurity-Skills
219
Build statistical network baselines from NetFlow/IPFIX data with Python pandas, generating hourly/daily profiles, per-host stats, protocol ratios, and anomaly flags so SOC analysts can spot exfiltration spikes or beaconing.
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