
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Danger medium hits: 7 | Medium-risk: admin panels, config files | +60 | |
| 404 ratio 40-60% | Majority of requests returned 404 — enumeration | +15 | |
| Probe pattern 302->404 same path | Behavioral anomaly detected by automated analysis | +20 | |
| Foreign referer seen | Referer from unrelated external domain | +10 | |
| Danger medium hits: 3 | Medium-risk: admin panels, config files | +30 |
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
IP 162.244.147.141 is enumerating directories. Configure fail2ban apache-404 jail after 10+ 404 errors. Disable directory listings. Normalize all 404 responses.
Other blocked IPs from the same /24 subnet — indicates systematic abuse from this network range.
Network reconnaissance data from Shodan. Open ports may indicate running services, misconfigurations, or potential attack surfaces.
| Port | Service | Risk | Description |
|---|---|---|---|
| 4444 | Unknown | Low | Service on port 4444 |
| 8000 | Unknown | Low | Service on port 8000 |
| CVE ID | Link |
|---|---|
| CVE-2023-49285 | NVD → |
| CVE-2021-31807 | NVD → |
| CVE-2021-31808 | NVD → |
| CVE-2025-54574 | NVD → |
| CVE-2023-50269 | NVD → |
| CVE-2024-25617 | NVD → |
| CVE-2025-59362 | NVD → |
| CVE-2023-5824 | NVD → |
| CVE-2023-46846 | NVD → |
| CVE-2021-28116 | NVD → |
| CVE-2025-62168 | NVD → |
| CVE-2024-45802 | NVD → |
| CVE-2022-41317 | NVD → |
| CVE-2021-28652 | NVD → |
| CVE-2023-46724 | NVD → |
| CVE-2024-25111 | NVD → |
| CVE-2022-41318 | NVD → |
| CVE-2023-49288 | NVD → |
| CVE-2021-28662 | NVD → |
| CVE-2023-49286 | NVD → |
| CVE-2023-46847 | NVD → |
| CVE-2021-33620 | NVD → |
| CVE-2021-46784 | NVD → |
| CVE-2024-37894 | NVD → |
| CVE-2023-46728 | NVD → |
🔴 Security scanning identified 27 vulnerability entries on this host. This volume strongly suggests severely outdated software. Consult NVD advisories for details.
Data source: Shodan InternetDB. Scanned independently of abuse.mom.
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.
162.244.147.141 has been assigned a threat score of 105/100 (Critical). This is a critical-level threat. Systems administrators should treat this IP as hostile and block all inbound connections without exception.
The following attack categories were identified:
Our monitoring infrastructure has identified 162.244.147.141, geolocated to New York, United States, operating on the network of Sprious LLC, Blazing SEO, LLC, as a source of suspicious network activity. During its 15-day observation window, we recorded 9 hostile requests from this IP — roughly 0.6 per day on average. The address is classified as residential, meaning it likely belongs to an end-user ISP connection. Malicious activity from residential IPs typically indicates device compromise or botnet membership. Active path scanning has been detected — this IP probes for hundreds of common file and directory names. Our records show 202 malicious IPs originating from United States, positioning it as a significant contributor to global threat activity. With a threat score of 105/100, this IP is among the most dangerous addresses in our database. Immediate and complete blocking is strongly recommended.
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.
Request smuggling exploits differences in how front-end and back-end servers parse HTTP requests. This technique can bypass security controls, poison web caches, and hijack other users sessions by desynchronizing request boundaries.
IP geolocation databases provide approximate locations with varying accuracy. City-level geolocation is typically 50-80% accurate, while country-level exceeds 95%. VPNs, proxies, and mobile networks further reduce reliability, making geolocation a useful but imperfect intelligence signal.