Blue Team — Operational Summary
The workstation activity focused entirely on scheduled and initiated integrity checks and database management, with no observed authentication failures. The system experienced five total cron sessions, with one initiated by the user 'ross'. Specific activities included the updating and listing of the AIDE database files and the execution of a daily integrity check script (`aide-check`). Additionally, a process was initiated where the root user executed a Python script located within the backend application directory, specifically related to file tailing (`aidetailer.py`). Local desktop sessions recorded one unlock event. The operational picture shows routine system maintenance and application-specific integrity operations, all executed without observable security conflicts.
Red Team — Facts Only
* Source system: ross-HP-Z230-SFF-Workstation.
* Time window: 2026-05-25 07:00 – 08:00 MDT.
* Total cron sessions: 5 (root: 4, ross: 1).
* Authentication failures: None.
* Sudo activity (ross → root):
* /usr/bin/mv /var/lib/aide/aide.db.new /var/lib/aide/aide.db
* /usr/bin/ls -la --time-style=full-iso /var/lib/aide/
* /usr/bin/bash -x /etc/cron.daily/aide-check
* Sudo activity (root → ross):
* /home/www/deliberationstack/backend/venv/bin/python /home/www/deliberationstack/backend/tailers/aidetailer.py
* Local sessions: 1 desktop unlock (GDM).
Purple Team — Pattern Analysis
The observed activity is strongly correlated with file integrity monitoring (AIDE) and an associated application script run. The actions involve standard database management (moving/listing files) and scheduled execution of integrity checks. The subsequent action by root executing the `aidetailer.py` script within the application's backend directory suggests an automated process designed to monitor or manage file integrity for the deliberation stack. This pattern is highly specific to system health and application integrity routines, suggesting expected maintenance operations rather than external intrusion. No anomalous network activity or failed login attempts were recorded, indicating the actions were purely internal and systemic. The data shows a predictable, controlled workflow centered on system security verification and application data integrity. The primary implication is that the observed activities align with internal operational tasks, but the specific context of why the `aidetailer.py` script was invoked warrants verification against standard maintenance logs to confirm its scheduled necessity.