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Log Analysis for Security
Parsing, Correlation, Detection Rules, Baselines, Triage and Finding Intruders in Authentication, Web and Network Logs
Alemão
86 b
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Your servers, web shop and firewall already record everything an intruder does. The hard part is turning those files into answers. This book shows how to read authentication, web and network records with Python and pandas: parse text and structured formats, fix time zones and clock drift, learn what normal looks like, and write detection rules for password guessing, password spraying, web scanning, login floods, odd clients and data leaving the network. You then correlate three sources into one incident timeline, triage alerts on a worksheet, tune out false positives without going blind, and write findings a manager can act on. Every example runs on small synthetic logs of a fictional company, with planted anomalies and real printed results. The approach is defensive throughout.
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