
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 196.51.44.6: 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 |
|---|---|---|---|
| 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-2023-49285 | NVD → |
| CVE-2026-33526 | NVD → |
| CVE-2024-45802 | NVD → |
| CVE-2019-18677 | NVD → |
| CVE-2021-28652 | NVD → |
| CVE-2020-15049 | NVD → |
| CVE-2023-49288 | NVD → |
| CVE-2026-33515 | NVD → |
| CVE-2021-28116 | NVD → |
| CVE-2020-14058 | NVD → |
| CVE-2025-54574 | NVD → |
| CVE-2023-46724 | NVD → |
| CVE-2020-8449 | NVD → |
| CVE-2019-13345 | NVD → |
| CVE-2016-10002 | NVD → |
| CVE-2020-24606 | NVD → |
| CVE-2021-31806 | NVD → |
| CVE-2019-18679 | NVD → |
| CVE-2019-18676 | NVD → |
| CVE-2023-46846 | NVD → |
| CVE-2019-12522 | NVD → |
| CVE-2020-11945 | NVD → |
| CVE-2019-12524 | NVD → |
| CVE-2020-15810 | NVD → |
| CVE-2023-49286 | 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 This volume strongly suggests severely outdated software.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.
196.51.44.6 has been assigned a threat score of 105/100 (Critical). A score this high marks a critical threat actor. This address has demonstrated persistent, aggressive malicious behavior across multiple detection vectors.
The following attack categories were identified:
Network traffic from 196.51.44.6, located in Tukwila, United States, operating on the network of DynaNode LLC, has been classified as malicious by our automated threat scoring engine. Our sensors captured 2 malicious requests from this address across a 7-day span, reflecting a sustained attack cadence of ~0.3 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. United States currently accounts for 198 blocked IPs in our database, making it a significant source of malicious traffic. 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.
Command injection occurs when attackers insert operating system commands through application inputs. Successful exploitation grants direct server access, enabling data theft, malware installation, and lateral movement across networks.
Artificial intelligence enables more convincing phishing content, faster vulnerability discovery, and adaptive attack strategies that learn from defensive responses. AI-generated social engineering and automated exploit development represent growing threats.