
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.
IP 84.200.73.194 is enumerating directories. Configure fail2ban apache-404 jail after 10+ 404 errors. Disable directory listings. Normalize all 404 responses.
Network reconnaissance data from Shodan. Open ports may indicate running services, misconfigurations, or potential attack surfaces.
| Port | Service | Risk | Description |
|---|---|---|---|
| 21 | FTP | Medium | File Transfer Protocol — often targeted for anonymous login attacks |
| 22 | SSH | Low | Secure Shell — common brute force target for remote access |
| 25 | SMTP | Medium | SMTP mail server — can be abused for spam relay |
| 53 | DNS | Low | DNS server — potential for DNS amplification attacks |
| 80 | HTTP | Low | HTTP web server — standard web traffic |
| 110 | POP3 | Low | Service on port 110 |
| 143 | IMAP | Low | Service on port 143 |
| 443 | HTTPS | Low | HTTPS web server — encrypted web traffic |
| 465 | Unknown | Low | Service on port 465 |
| 993 | IMAPS | Low | Service on port 993 |
| 995 | POP3S | Low | Service on port 995 |
| 8443 | HTTPS-Alt | Low | Service on port 8443 |
| 8880 | Unknown | Low | Service on port 8880 |
⚠️ 1 high-risk port detected on 84.200.73.194. These services should not be publicly accessible without strict firewall rules.
| CVE ID | Link |
|---|---|
| CVE-2025-26465 | NVD → |
| CVE-2020-14145 | NVD → |
| CVE-2023-51767 | NVD → |
| CVE-2016-20012 | NVD → |
| CVE-2019-16905 | NVD → |
| CVE-2023-48795 | NVD → |
| CVE-2021-41617 | NVD → |
| CVE-2008-3844 | NVD → |
| CVE-2020-15778 | NVD → |
| CVE-2021-36368 | NVD → |
| CVE-2007-2768 | NVD → |
| CVE-2025-32728 | NVD → |
| CVE-2023-38408 | NVD → |
| CVE-2023-51385 | NVD → |
🔴 Security scanning identified 14 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 This volume strongly suggests severely outdated software.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.
84.200.73.194 has been assigned a threat score of 105/100 (Critical). This places it in the critical threat category. Immediate blocking is strongly advised across all network perimeters.
The following attack categories were identified:
Threat intelligence analysis has linked 84.200.73.194 to malicious activity originating from Frankfurt am Main, Germany, operating on the network of Ultahost, Inc.. The address has been under observation since its initial detection. During its 1-day observation window, we recorded 2 hostile requests from this IP — roughly 2 per day on average. This residential IP is likely a compromised consumer device. Home routers and IoT equipment with default credentials are prime targets for botnet operators. The IP exhibits directory enumeration behavior, systematically requesting non-existent paths to discover hidden files and misconfigured resources. Our records show 102 malicious IPs originating from Germany, 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 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.