
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 | |
| Danger medium hits: 6 | Medium-risk: admin panels, config files | +60 |
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 130.44.202.93: 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-2025-54574 | NVD → |
| CVE-2021-28652 | NVD → |
| CVE-2021-31808 | NVD → |
| CVE-2023-46846 | NVD → |
| CVE-2025-59362 | NVD → |
| CVE-2023-49285 | NVD → |
| CVE-2024-25617 | NVD → |
| CVE-2023-46728 | NVD → |
| CVE-2025-62168 | NVD → |
| CVE-2021-28662 | NVD → |
| CVE-2021-28651 | NVD → |
| CVE-2022-41318 | NVD → |
| CVE-2024-37894 | NVD → |
| CVE-2023-49286 | NVD → |
| CVE-2023-5824 | NVD → |
| CVE-2023-46724 | NVD → |
| CVE-2021-28116 | NVD → |
| CVE-2023-50269 | NVD → |
| CVE-2021-31807 | NVD → |
| CVE-2022-41317 | NVD → |
| CVE-2021-33620 | NVD → |
| CVE-2021-31806 | NVD → |
| CVE-2023-46847 | NVD → |
| CVE-2021-46784 | NVD → |
| CVE-2023-49288 | 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 This volume strongly suggests severely outdated software.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.
130.44.202.93 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:
IP address 130.44.202.93 has been traced to New Hampton, United States, operating on the network of Blazing SEO. Our threat detection systems have flagged this address based on observed malicious behavior patterns. The address has been active for 15 days in our monitoring system, producing 5 flagged requests at a rate of ~0.3/day. Operating from a residential network, this IP may represent a compromised home gateway or IoT device that has been drafted into a larger attack infrastructure. The IP exhibits directory enumeration behavior, systematically requesting non-existent paths to discover hidden files and misconfigured resources. Our records show 201 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.
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.
Threat scoring combines multiple signals — request patterns, known signatures, IP reputation, geographic risk, and behavioral analysis — into a single actionable metric. Weighted scoring models allow tuning sensitivity to balance security with usability.