CASE STUDY / INTERPRETING A SYNTHETIC LOGIN PATTERN

An alert is the beginning.

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01 / The problem

Identify repeated failed logins followed by a successful login without treating every match as a confirmed compromise.

02 / Technical environment

Local Python detector with fictional login records; no live SIEM integration.

03 / Investigation

The rule groups events by source, account and host and evaluates a five-minute window.

04 / Tools used

Python standard library, synthetic events and recorded unit tests.

05 / Findings

Saved input produces two alerts. User mistakes, NAT and shared devices remain alternative explanations.

06 / Implemented changes

A local event-window detection component with a documented investigation workflow.

07 / Testing and verification

The saved test record contains six authentication checks. Live log collection remains a future step.

08 / Results and limitations

A repeatable local exercise. Live Windows/Linux log collection and an investigated SIEM alert remain future work.

09 / Lesson

Detection logic needs context. A matched rule is evidence to examine, not a verdict.