
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Form spam: no_js_check | Spam/malware keywords in request content | +0 | |
| Probe pattern 302->404 same path | Behavioral anomaly detected by automated analysis | +20 | |
| Foreign referer seen | Referer from unrelated external domain | +10 | |
| POST requests present | Behavioral anomaly detected by automated analysis | +8 |
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
Enable CAPTCHA on all public forms. Add honeypot fields. Rate-limit submissions to 3 per minute per IP. Deploy Akismet or CleanTalk.
Block scanning from 38.127.172.228: 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 |
|---|---|---|---|
| 80 | HTTP | Low | HTTP web server — standard web traffic |
| CVE ID | Link |
|---|---|
| CVE-2017-3167 | NVD → |
| CVE-2018-10547 | NVD → |
| CVE-2021-26691 | NVD → |
| CVE-2016-7414 | NVD → |
| CVE-2016-5093 | NVD → |
| CVE-2015-2783 | NVD → |
| CVE-2016-6297 | NVD → |
| CVE-2016-3142 | NVD → |
| CVE-2016-3171 | NVD → |
| CVE-2018-5711 | NVD → |
| CVE-2016-7128 | NVD → |
| CVE-2016-4343 | NVD → |
| CVE-2020-35452 | NVD → |
| CVE-2015-8867 | NVD → |
| CVE-2013-2220 | NVD → |
| CVE-2014-0118 | NVD → |
| CVE-2015-1351 | NVD → |
| CVE-2025-58098 | NVD → |
| CVE-2015-8876 | NVD → |
| CVE-2015-8874 | NVD → |
| CVE-2014-9425 | NVD → |
| CVE-2016-5387 | NVD → |
| CVE-2020-11579 | NVD → |
| CVE-2019-9637 | NVD → |
| CVE-2015-0273 | NVD → |
🔴 Security scanning identified 331 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 This volume strongly suggests severely outdated software.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.
38.127.172.228 has been assigned a threat score of 70/100 (High). This score indicates high threat severity. The IP has shown clear patterns of malicious behavior that warrant immediate defensive measures.
The following attack categories were identified:
Our monitoring infrastructure has identified 38.127.172.228, geolocated to Washington, United States, operating on the network of Cogent Communications, as a source of suspicious network activity. Our sensors captured 2 malicious requests from this address across a 1-day span, reflecting a sustained attack cadence of ~2 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 186 flagged addresses, United States represents a significant presence in our threat database. A threat score of 70/100 places this IP in the high-risk category. Blocking at the firewall level is 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.