
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Danger medium hits: 6 | 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: 2 | Medium-risk: admin panels, config files | +20 |
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 209.163.116.253: rate-limit 404 responses per IP, deploy a honeypot 404 page, ensure no backup files are web-accessible.
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-2021-28651 | NVD → |
| CVE-2021-28652 | NVD → |
| CVE-2022-41317 | NVD → |
| CVE-2021-31807 | NVD → |
| CVE-2025-59362 | NVD → |
| CVE-2025-54574 | NVD → |
| CVE-2021-28116 | NVD → |
| CVE-2024-37894 | NVD → |
| CVE-2023-49285 | NVD → |
| CVE-2024-25617 | NVD → |
| CVE-2023-49288 | NVD → |
| CVE-2025-62168 | NVD → |
| CVE-2023-46847 | NVD → |
| CVE-2023-46728 | NVD → |
| CVE-2021-28662 | NVD → |
| CVE-2021-33620 | NVD → |
| CVE-2022-41318 | NVD → |
| CVE-2023-50269 | NVD → |
| CVE-2023-46846 | NVD → |
| CVE-2021-31806 | NVD → |
| CVE-2023-49286 | NVD → |
| CVE-2023-5824 | NVD → |
| CVE-2026-32748 | NVD → |
| CVE-2026-33526 | NVD → |
| CVE-2023-46724 | NVD → |
🔴 Security scanning identified 30 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 This volume strongly suggests severely outdated software.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.
209.163.116.253 has been assigned a threat score of 105/100 (Critical). With this rating, the IP falls into the critical severity bracket — among the most dangerous addresses in our monitoring database.
The following attack categories were identified:
Our monitoring infrastructure has identified 209.163.116.253, geolocated to New York, United States, operating on the network of Emeigh Investments LLC, as a source of suspicious network activity. Our sensors captured 2 malicious requests from this address across a 19-day span, reflecting a sustained attack cadence of ~0.1 requests per day. This is a residential IP address, suggesting a compromised home device such as a router, smart appliance, or infected workstation participating in a botnet. The IP exhibits directory enumeration behavior, systematically requesting non-existent paths to discover hidden files and misconfigured resources. With 204 flagged addresses, United States represents a significant presence in our threat database. At 105/100, 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.
SQL injection remains one of the most common web attack vectors. Attackers inject malicious SQL code through input fields to extract database contents, modify data, or gain administrative access. Automated scanners test for SQLi vulnerabilities at massive scale.
Analyzing network flows (NetFlow, sFlow, IPFIX) provides visibility into traffic patterns without inspecting packet contents. Flow data reveals scanning activity, data exfiltration, lateral movement, and command-and-control channels at scale.