Plugins
1 pluginResults for “threat-analysis”
9 skillsPerforming Network Traffic Analysis With Zeek
Deploy Zeek network security monitor to capture, parse, and analyze network traffic metadata for threat detection, anomaly identification, and forensic investigation.
24.6k · bundle
Implementing Ot Network Traffic Analysis With Nozomi
Deploy Nozomi Networks Guardian sensors for passive OT network traffic analysis to achieve asset visibility, threat detection, and vulnerability assessment across industrial control systems.
24.6k · bundle
Implementing Cloud Trail Log Analysis
Analyze AWS CloudTrail logs for security monitoring, threat detection, and forensic investigation using Athena, CloudWatch Logs Insights, and SIEM integration.
24.6k · bundle
Codebase
Performs a white-box source code security review structured around OWASP ASVS 5.0, mapping attack surfaces, tracing data flows, and chaining into downstream penetration testing and threat modeling skills.
21 · bundle
More results
Performing Dynamic Analysis With Any Run
Performs interactive dynamic malware analysis using the ANY.RUN cloud sandbox to observe real-time execution behavior, interact with malware prompts, and capture process trees, network traffic, and system changes.
24.6k · bundle
Implementing Attack Path Analysis With Xm Cyber
Deploy XM Cyber's continuous exposure management platform to map attack paths, identify choke points, and prioritize the 2% of exposures that threaten critical assets.
24.6k · bundle
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
Analyzing API Gateway Access Logs
Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect BOLA/IDOR attacks, rate limit bypass, credential scanning, and injection attempts using pandas for statistical analysis and anomaly detection.
24.6k · bundle
QA Methodology
Design and apply QA methodology for software teams: test strategy, regression testing, CI failure triage, test automation, quality gates and metrics, risk-based testing, exploratory testing, test design techniques, AI code quality gates (independent verification, acceptance-criteria testability review for agentic Spec-Driven Development), mutation-guided test hardening and review evidence (surviving mutants, weak assertions, diff-aware mutation testing), agentic eval design (dataset test design, judge-as-system-under-test, flaky-eval discipline), QA career levels (Senior/Staff/Principal), and SDET engineering (test infrastructure, gTAA, CI/CD integration). Do not use for root-cause debugging of production incidents, security implementation or threat modeling, or evaluation framework governance and statistical analysis — route those to systematic-debugging, secure-software-engineering, and agent-evals-and-observability respectively.
28 · bundle