
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Foreign referer | Referer from unrelated external domain | +10 | |
| Form spam: no_js_check | Spam/malware keywords in request content | +0 | |
| Probe 302→404 | Behavioral anomaly detected by automated analysis | +20 |
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
IP 196.51.184.182 is flooding forms with spam. Implement time-based tokens and block IPs submitting more than 5 forms per hour.
IP 196.51.184.182 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 |
|---|---|---|---|
| 80 | HTTP | Low | HTTP web server — standard web traffic |
| 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-2019-12524 | NVD → |
| CVE-2019-18676 | NVD → |
| CVE-2019-18678 | NVD → |
| CVE-2019-12525 | NVD → |
| CVE-2018-1000027 | NVD → |
| CVE-2019-18677 | NVD → |
| CVE-2023-46724 | NVD → |
| CVE-2020-24606 | NVD → |
| CVE-2020-25097 | NVD → |
| CVE-2023-49286 | NVD → |
| CVE-2020-11945 | NVD → |
| CVE-2025-59362 | NVD → |
| CVE-2021-33620 | NVD → |
| CVE-2024-45802 | NVD → |
| CVE-2020-8517 | NVD → |
| CVE-2023-5824 | NVD → |
| CVE-2019-12523 | NVD → |
| CVE-2020-15810 | NVD → |
| CVE-2024-25617 | NVD → |
| CVE-2020-8449 | NVD → |
| CVE-2020-15811 | NVD → |
| CVE-2019-12526 | NVD → |
| CVE-2019-12520 | NVD → |
| CVE-2023-49288 | NVD → |
| CVE-2021-46784 | NVD → |
🔴 This host has 56 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 This volume strongly suggests severely outdated software.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.
196.51.184.182 has been assigned a threat score of 70/100 (High). This classifies it as a high-severity threat. Proactive blocking is recommended for sensitive infrastructure.
The following attack categories were identified:
Network traffic from 196.51.184.182, located in Crugers, United States, operating on the network of DynaNode LLC, has been classified as malicious by our automated threat scoring engine. Over a period of 83 days, this IP generated 969 malicious requests, averaging approximately 11.7 requests per day. Operating from datacenter infrastructure, this IP is typical of addresses used in organized attack operations. Cloud and VPS providers are commonly exploited as launching platforms for automated scanning. The IP exhibits directory enumeration behavior, systematically requesting non-existent paths to discover hidden files and misconfigured resources. With 208 flagged addresses, United States represents a significant presence in our threat database. At 70/100, this IP warrants immediate defensive action.
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.
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.