
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| UA suspicious (short/empty) | Behavioral anomaly detected by automated analysis | +15 | |
| Danger strong hits: 1 | High-risk paths: shells, RCE vectors, exploits | +25 | |
| Danger medium hits: 1 | Medium-risk: admin panels, config files | +10 | |
| Danger strong hits: 2 | High-risk paths: shells, RCE vectors, exploits | +50 | |
| Danger medium hits: 2 | Medium-risk: admin panels, config files | +20 |
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
Address UA spoofing from 69.227.68.125: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.
Network reconnaissance data from Shodan. Open ports may indicate running services, misconfigurations, or potential attack surfaces.
| Port | Service | Risk | Description |
|---|---|---|---|
| 22 | SSH | Low | Secure Shell — common brute force target for remote access |
| 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 |
| 587 | Unknown | Low | Service on port 587 |
| 993 | IMAPS | Low | Service on port 993 |
| 995 | POP3S | Low | Service on port 995 |
| 2077 | Unknown | Low | Service on port 2077 |
| 2079 | Unknown | Low | Service on port 2079 |
| 2082 | Unknown | Low | Service on port 2082 |
| 2083 | Unknown | Low | Service on port 2083 |
| 2086 | Unknown | Low | Service on port 2086 |
| 2087 | Unknown | Low | Service on port 2087 |
| CVE ID | Link |
|---|---|
| CVE-2025-32728 | NVD → |
| CVE-2021-36368 | NVD → |
| CVE-2021-41617 | NVD → |
| CVE-2026-35414 | NVD → |
| CVE-2023-38408 | NVD → |
| CVE-2023-51767 | NVD → |
| CVE-2023-48795 | NVD → |
| CVE-2016-20012 | NVD → |
| CVE-2007-2768 | NVD → |
| CVE-2024-6387 | NVD → |
| CVE-2025-26465 | NVD → |
| CVE-2023-51385 | NVD → |
| CVE-2008-3844 | NVD → |
🔴 Security scanning identified 13 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 This volume strongly suggests severely outdated software.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.
69.227.68.125 has been assigned a threat score of 70/100 (High). This classifies it as a high-severity threat. Proactive blocking is recommended for sensitive infrastructure.
The following attack categories were identified:
IP address 69.227.68.125 has been traced to Oklahoma City, United States, operating on the network of AT&T Enterprises, LLC. Our threat detection systems have flagged this address based on observed malicious behavior patterns. During its 1-day observation window, we recorded 2 hostile requests from this IP — roughly 2 per day on average. Operating from a residential network, this IP may represent a compromised home gateway or IoT device that has been drafted into a larger attack infrastructure. The IP exhibits User-Agent manipulation, switching between different browser identities or sending empty headers. United States currently accounts for 164 blocked IPs in our database, making it a significant source of malicious traffic. 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.
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.
Honeypots are decoy systems designed to attract and study attackers. Networks of honeypots provide early warning of new attack campaigns, reveal attacker tools and techniques, and generate high-confidence threat intelligence with minimal false positives.