Analyze Failed Logins
Investigate a synthetic authentication dataset for patterns and benign explanations.
Investigate a synthetic authentication dataset for patterns and benign explanations.
Prepare 20m · Build 110m · Verify 30m · Document 20m
Work only inside the folder created by Smartphone-Academy.py prepare failed-login-analysis. Use the supplied samples or systems you personally administer.
Prepare the Termux workspace
Open Termux in the Academy root and prepare this lab with the local companion. It creates safe samples, notes and evidence files under your Termux account.
python Smartphone-Academy.py prepare failed-login-analysisNo root. Use the supplied files and keep the workspace under $HOME.Practical mission
- Establish the normal failure rate in the sample
- Group bursts by account and source identifier
- Compare failures with later successful logins
- Separate confirmed observations from hypotheses
A finding table grouped by account, source, time window and confidence.
Quality gate
Analyst reflection
Which result from “Separate confirmed observations from hypotheses” would need more evidence before it could support an operational decision?
After checking the evidence, run python Smartphone-Academy.py complete failed-login-analysis. Progress is stored locally in the Termux home directory.