Blue Team — Operational Summary
The system experienced 13,666 external requests over four hours, distributed across 1,246 unique IP addresses. The majority of traffic consisted of automated sessions, with 3,808 recorded bot/crawler sessions, contrasted against only 8 likely-human sessions. HTTP 200 responses accounted for 13,575 requests, indicating high success rates for the traffic observed. The request mix shows notable activity from specific, high-volume IPs (74.7.241.22, 216.73.216.51, 216.244.66.198). Eight distinct requests were identified attempting to access the WordPress installation path (/wp-admin/install.php?step=1) from several specific source IPs.
Red Team — Facts Only
* Total external requests: 13,666 from 1,246 unique IPs over 4 hours.
* HTTP Status Codes: 13,575 HTTP 200; 1 HTTP 206; 81 HTTP 308; 9 HTTP 404.
* Session Type Breakdown: 8 likely-human sessions; 5 engaged sessions; 3,808 bot/crawler sessions.
* Operator activity: 992 requests originated from a single IP (38.175.170.87).
* Exploit Attempts Detected: 8 requests targeting /wp-admin/install.php?step=1.
* Source IPs with Exploit Attempts: 162.158.182.93, 172.68.10.86, 172.68.10.87, 172.71.184.240.
* Top IPs by Volume: 74.7.241.22 (1371 req); 216.73.216.51 (1270 req); 216.244.66.198 (467 req).
Purple Team — Pattern Analysis
The operational pattern is dominated by high-volume, automated scraping and crawling, evidenced by the 3,808 bot sessions and the dominance of HTTP 200 status codes. The traffic composition strongly suggests automated enumeration rather than organic audience delivery. The presence of eight distinct attempts targeting the WordPress installation script indicates focused, targeted probing, likely indicative of vulnerability scanning or exploit staging, originating from a mix of external and internal-range IP addresses. While the specific exploit attempts originate from IPs appearing to be within a private network range (172.x.x.x), their presence alongside high-volume external traffic warrants investigation into potential network segmentation failures or internal asset exposure. The primary signal is the scale of automated activity, not specific threat success. Future monitoring should focus on identifying the origin of the top three volume IPs and correlating the IP ranges involved in the exploit attempts to internal network flow logs.