
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| 404 ratio >= 60% | Majority of requests returned 404 — enumeration | +25 | |
| Burst 200/10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst 60/2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 200 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 55 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Burst: 56 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Danger medium hits: 139 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 289 | Medium-risk: admin panels, config files | +60 | |
| Danger medium hits: 32 | Medium-risk: admin panels, config files | +60 | |
| Danger strong hits: 198 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 606 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger strong hits: 983 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| POST requests present | Behavioral anomaly detected by automated analysis | +8 | |
| POST seen | Behavioral anomaly detected by automated analysis | +8 | |
| Probe 302→404 | Behavioral anomaly detected by automated analysis | +20 | |
| Probe pattern 302->404 same path | Behavioral anomaly detected by automated analysis | +20 | |
| UA bot: curl | Known bot/crawler User-Agent detected | +40 | |
| UA changed | Multiple User-Agents — bot rotation technique | +25 | |
| UA changed for same IP | Multiple User-Agents — bot rotation technique | +25 |
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
Block scanning from 185.177.72.67: rate-limit 404 responses per IP, deploy a honeypot 404 page, ensure no backup files are web-accessible.
Implement limit_req_zone in nginx. Deploy CDN with DDoS protection. Configure SYN cookies and connection tracking to throttle 185.177.72.67.
IP 185.177.72.67 shows suspicious UA behavior. Block empty User-Agent requests. Implement JavaScript-based bot detection for sensitive endpoints.
Other blocked IPs from the same /24 subnet — indicates systematic abuse from this network range.
This IP was checked against major DNS-based blacklists used by mail servers and firewalls worldwide.
Checked: Spamhaus, SpamCop, Barracuda, SORBS, CBL, UCEProtect. Results may change over time.
185.177.72.67 has been assigned a threat score of 348/100 (Critical). A score this high marks a critical threat actor. This address has demonstrated persistent, aggressive malicious behavior across multiple detection vectors.
The following attack categories were identified:
Our monitoring infrastructure has identified 185.177.72.67, geolocated to Vélizy-Villacoublay, France, operating on the network of Bucklog SARL, as a source of suspicious network activity. Our sensors captured 119 malicious requests from this address across a 42-day span, reflecting a sustained attack cadence of ~2.8 requests per day. This residential IP is likely a compromised consumer device. Home routers and IoT equipment with default credentials are prime targets for botnet operators. The diversity of 3 separate attack methods suggests a comprehensive attack toolkit — likely an automated scanner that tests for vulnerabilities across multiple categories. With 201 flagged addresses, France represents a significant presence in our threat database. At 348/100, this is an extremely high-risk address. All traffic should be considered hostile.
This IP is classified as residential, suggesting it may belong to a compromised home device, IoT botnet member, or an infected personal computer. Residential IPs involved in attacks often indicate malware infection without the owner's knowledge.
Distributed denial of service attacks overwhelm infrastructure with traffic volume. Effective mitigation combines always-on traffic scrubbing, anycast network distribution, rate limiting, and the ability to quickly scale absorption capacity during attacks.
Modern phishing operations use sophisticated infrastructure including lookalike domains, valid TLS certificates, and evasion techniques like cloaking and geofencing. Analyzing this infrastructure reveals campaigns before they reach their targets.