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Search Anomaly-Detection , found 10 results

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Web Log Intrusion Detection

analyzing-web-server-logs-for-intrusion

mukul975/Anthropic-Cybersecurity-Skills

Parses Apache/Nginx access logs to spot SQL injection, LFI, XSS, scanner fingerprints, and brute-force patterns through OWASP-aware regex, GeoIP enrichment, and anomaly scoring, then produces a prioritized findings report for SOC analysts.

Industrial Control Anomaly Detection

detecting-anomalies-in-industrial-control-systems

mukul975/Anthropic-Cybersecurity-Skills

Deploys machine-learning anomaly detection for OT environments by modeling SCADA polling behaviors, profiling Modbus/DNP3/OPC UA traffic, and correlating network anomalies with historian process data to spot rogue devices and unusual process deviations.

DNP3 Anomaly Detection

detecting-dnp3-protocol-anomalies

mukul975/Anthropic-Cybersecurity-Skills

Detects unauthorized DNP3 control commands, protocol violations, and baseline deviations via deep packet inspection and machine learning, fitting SCADA/energy IDS deployments monitoring RTUs and substations.

Modbus Anomaly Detection

detecting-modbus-protocol-anomalies

mukul975/Anthropic-Cybersecurity-Skills

Detects Modbus/TCP and RTU anomalies in OT environments using Zeek, Suricata OT rules, and Python-based Markov models to validate function codes, register ranges, timing, and client authorization during passive monitoring.

Zeek Network Anomaly Detection

detecting-network-anomalies-with-zeek

mukul975/Anthropic-Cybersecurity-Skills

Deploy Zeek to passively observe traffic, emit structured logs, and apply bespoke detection scripts for threat hunting, incident response, and monitoring anomalous network behavior.

IDS Scan Detection

detecting-network-scanning-with-ids-signatures

mukul975/Anthropic-Cybersecurity-Skills

Use Suricata or Snort IDS signatures, threshold rules, and traffic anomaly analysis to spot Nmap, Masscan, and custom port scans early in the kill chain and feed structured alerts for SOC handling.

Nozomi OT Traffic Analysis

implementing-ot-network-traffic-analysis-with-nozomi

mukul975/Anthropic-Cybersecurity-Skills

Deploys Nozomi Networks Guardian sensors to passively monitor OT network traffic, giving asset visibility, anomaly and vulnerability detection, and integrates with SOC tools like Vantage, Fortinet, Splunk, and ServiceNow for ICS security without disrupting operations.

Zeek Network Traffic Analysis

performing-network-traffic-analysis-with-zeek

mukul975/Anthropic-Cybersecurity-Skills

Deploy Zeek to passively capture network packets, parse protocol metadata, and derive high-fidelity logs for threat hunting, anomaly detection, and SIEM ingestion during security assessments or incident response.

User Behavior Analytics

performing-user-behavior-analytics

mukul975/Anthropic-Cybersecurity-Skills

Performs UEBA-driven anomaly detection in SIEM environments to flag impossible travel, privilege abuse, anomalous timing, and data access deviations so SOC teams can investigate compromised accounts or insider threats.

Proactive Threat Detection

threat-detection

alirezarezvani/claude-skills

Provides methodology and tooling for proactive threat hunting, IOC analysis, and statistical anomaly detection across telemetry before alerts fire, including MITRE ATT&CK signal prioritization and deception readiness.

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