
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Danger medium hits: 10 | 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 |
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
IP 196.51.206.173 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 |
|---|---|---|---|
| 8000 | Unknown | Low | Service on port 8000 |
| 8080 | HTTP-Alt | Low | HTTP alternative port — often used for admin panels or proxies |
| 8800 | Unknown | Low | Service on port 8800 |
| CVE ID | Link |
|---|---|
| CVE-2025-62168 | NVD → |
| CVE-2020-8517 | NVD → |
| CVE-2020-14058 | NVD → |
| CVE-2021-31807 | NVD → |
| CVE-2019-18679 | NVD → |
| CVE-2019-12523 | NVD → |
| CVE-2021-28651 | NVD → |
| CVE-2019-12524 | NVD → |
| CVE-2019-18860 | NVD → |
| CVE-2020-15810 | NVD → |
| CVE-2019-12521 | NVD → |
| CVE-2016-10003 | NVD → |
| CVE-2019-18678 | NVD → |
| CVE-2023-46724 | NVD → |
| CVE-2020-8450 | NVD → |
| CVE-2022-41318 | NVD → |
| CVE-2023-46847 | NVD → |
| CVE-2023-5824 | NVD → |
| CVE-2020-24606 | NVD → |
| CVE-2019-12522 | NVD → |
| CVE-2023-49288 | NVD → |
| CVE-2019-18677 | NVD → |
| CVE-2019-12519 | NVD → |
| CVE-2026-32748 | NVD → |
| CVE-2024-45802 | NVD → |
🔴 This host has 59 known CVEs associated with its exposed services. This volume strongly suggests severely outdated software. Review each CVE in the NVD database.
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.
196.51.206.173 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:
196.51.206.173 is registered in Ashburn, United States, operating on the network of DynaNode LLC. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. Over a period of 1 days, this IP generated 1 malicious requests, averaging approximately 1 requests per day. Classified as a hosting IP, this address likely runs on a rented server or cloud instance. Attackers prefer datacenter IPs for their high bandwidth and disposable nature. Active path scanning has been detected — this IP probes for hundreds of common file and directory names. With 198 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 belongs to a hosting or data center provider. Malicious traffic from hosting infrastructure often originates from compromised VPS instances, rented servers used for scanning campaigns, or abused free-tier cloud accounts. Hosting providers typically respond to abuse reports within 24-72 hours.
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.
Correlating logs across web servers, firewalls, DNS, and authentication systems reveals attack patterns invisible in individual log sources. Modern SIEM platforms use statistical analysis to connect related events across time and systems.