Practical Threat Intelligence And Datadriven Threat Hunting Pdf Free Download Full

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If you acquire the full PDF of a text fitting this title, you expect to find these essential chapters:

To give you a taste of what the full PDF teaches, here is a practical, data-driven hunt extracted from the typical curriculum. You do not need special software; just Excel or a SIEM. Common Hunting Frameworks :

The Hypothesis: An attacker is using a VPN to log in as a user from two geographically impossible locations within a short time.

Data Required: VPN logs, SSO logs (Azure AD/Okta), or Terminal Server logs. Hunting Maturity Model (HMM0–HMM4):

The Query Logic (SQL-like syntax):

SELECT user_id, login_time, geo_city, geo_lat, geo_long
FROM authentication_logs
WHERE event_type = 'LOGIN_SUCCESS'
ORDER BY user_id, login_time;

The Math (Haversine formula):

The Outcome: This data-driven hunt has discovered token replay attacks (Pass-the-Cookie) and AITM (Adversary-in-the-Middle) frameworks like Evilginx2 without using a single signature.