
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Danger medium hits: 8 | 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 196.51.61.249: 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 |
| 3128 | Unknown | Low | Service on port 3128 |
| 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-2018-1000024 | NVD → |
| CVE-2020-24606 | NVD → |
| CVE-2020-8517 | NVD → |
| CVE-2021-31807 | NVD → |
| CVE-2020-14058 | NVD → |
| CVE-2019-18676 | NVD → |
| CVE-2018-19132 | NVD → |
| CVE-2019-12524 | NVD → |
| CVE-2020-25097 | NVD → |
| CVE-2020-15049 | NVD → |
| CVE-2019-18678 | NVD → |
| CVE-2019-12525 | NVD → |
| CVE-2019-18679 | NVD → |
| CVE-2019-12520 | NVD → |
| CVE-2023-46846 | NVD → |
| CVE-2023-5824 | NVD → |
| CVE-2016-10003 | NVD → |
| CVE-2024-25617 | NVD → |
| CVE-2022-41318 | NVD → |
| CVE-2020-15811 | NVD → |
| CVE-2021-31806 | NVD → |
| CVE-2019-12522 | NVD → |
| CVE-2019-18860 | NVD → |
| CVE-2019-13345 | NVD → |
| CVE-2018-19131 | 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 This volume strongly suggests severely outdated software.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.
196.51.61.249 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:
196.51.61.249 is registered in Tukwila, United States, operating on the network of DynaNode LLC. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. The address has been active for 1 days in our monitoring system, producing 1 flagged requests at a rate of ~1/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. 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 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.
XXE vulnerabilities in XML parsers allow attackers to read local files, perform SSRF, and execute denial of service attacks. Many legacy applications and APIs remain vulnerable to XXE due to insecure default XML parser configurations.
Examining HTTP headers beyond User-Agent reveals attack tools and automated scripts. Missing standard headers, unusual ordering, non-standard values, and inconsistencies with claimed client identity all serve as reliable detection signals.