
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 |
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 3.141.235.213: rate-limit 404 responses per IP, deploy a honeypot 404 page, ensure no backup files are web-accessible.
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 |
| 443 | HTTPS | Low | HTTPS web server — encrypted web traffic |
| CVE ID | Link |
|---|---|
| CVE-2024-36387 | NVD → |
| CVE-2013-2765 | NVD → |
| CVE-2024-38473 | NVD → |
| CVE-2023-38709 | NVD → |
| CVE-2025-23048 | NVD → |
| CVE-2025-49812 | NVD → |
| CVE-2009-0796 | NVD → |
| CVE-2013-0941 | NVD → |
| CVE-2025-55753 | NVD → |
| CVE-2024-40898 | NVD → |
| CVE-2024-43204 | NVD → |
| CVE-2024-38477 | NVD → |
| CVE-2025-58098 | NVD → |
| CVE-2025-53020 | NVD → |
| CVE-2024-43394 | NVD → |
| CVE-2024-47252 | NVD → |
| CVE-2024-39573 | NVD → |
| CVE-2024-38472 | NVD → |
| CVE-2007-4723 | NVD → |
| CVE-2024-38474 | NVD → |
| CVE-2024-38475 | NVD → |
| CVE-2024-27316 | NVD → |
| CVE-2011-2688 | NVD → |
| CVE-2013-0942 | NVD → |
| CVE-2025-49630 | NVD → |
🔴 Security scanning identified 37 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 This volume strongly suggests severely outdated software.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.
3.141.235.213 has been assigned a threat score of 105/100 (Critical). This represents a critical risk level. Our detection systems have flagged multiple high-confidence indicators of malicious intent from this address.
The following attack categories were identified:
Threat intelligence analysis has linked 3.141.235.213 to malicious activity originating from Dublin, United States, operating on the network of Amazon.com, Inc.. The address has been under observation since its initial detection. Our sensors captured 1 malicious requests from this address across a 1-day span, reflecting a sustained attack cadence of ~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. The IP exhibits directory enumeration behavior, systematically requesting non-existent paths to discover hidden files and misconfigured resources. Our records show 130 malicious IPs originating from United States, positioning it as a significant contributor to global threat activity. A score of 105/100 places this address in the top tier of severity. Block and investigate any historical connections.
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.