Blue Team — Operational Summary
The operational window saw 14,367 external requests over four hours. The vast majority of traffic was attributed to automated sessions, registering 3,521 bot/crawler sessions compared to one likely human and one engaged session. The bulk of successful requests returned HTTP 200 status codes (14,280), with minor 404 errors (14) and two 502 errors. Datacenter origin accounted for only 0.2% of the total requests. The traffic composition, referencing Facebook, suggests legitimate referral patterns are present, but the overall volume is dominated by non-human activity. Specific attention is required regarding six observed exploit attempts targeting WordPress installation files.
Red Team — Facts Only
* Total external requests: 14,367 from 1,245 unique IPs over 4 hours.
* Operator activity: 466 requests from 1 IP (38.175.170.87).
* HTTP 200 responses: 14,280.
* HTTP 404 responses: 14.
* HTTP 502 responses: 2.
* Exploit attempts detected: 6 requests targeting /wp-admin/install.php?step=1.
* Exploit source IPs: 104.23.221.163, 172.69.150.13, 172.69.150.12, 104.23.217.7.
* Top referrer: m.facebook.com (5) and facebook.com (2).
* Top volume IPs: 74.7.241.22 (1371 req), 216.73.216.51 (601 req), 216.244.66.198 (500 req).
Purple Team — Pattern Analysis
The primary signal is the presence of highly specific, repeated exploit attempts targeting WordPress installation endpoints (/wp-admin/install.php?step=1). These attempts originated from four distinct IP addresses, including two private/internal-looking ranges (172.69.150.x) and two publicly routable IPs (104.23.221.163 and 104.23.217.7). While the traffic volume is dominated by bots (3,521 sessions), the targeted exploit attempts represent a focused, adversarial signal that is disproportionate to the observed background noise. The fact that the identified exploit sources include ranges similar to internal networks suggests potential probing or staging rather than purely random scraping. The observed top traffic IPs are large volume sources, but the adversarial fingerprints are the specific, low-volume attack attempts. This indicates a targeted posture against the site, despite the general high volume of automated traffic. Next steps should focus on immediate blocking of the identified exploit source IPs and determining if any of the top traffic sources are linked to the observed patterns.