
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Danger medium hits: 4 | Medium-risk: admin panels, config files | +40 | |
| 404 ratio 40-60% | Majority of requests returned 404 — enumeration | +15 | |
| 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 196.51.68.49: 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 |
| 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-2025-54574 | NVD → |
| CVE-2023-46724 | NVD → |
| CVE-2019-12519 | NVD → |
| CVE-2019-12524 | NVD → |
| CVE-2019-12525 | NVD → |
| CVE-2025-62168 | NVD → |
| CVE-2021-31807 | NVD → |
| CVE-2023-49286 | NVD → |
| CVE-2020-11945 | NVD → |
| CVE-2019-12529 | NVD → |
| CVE-2020-15810 | NVD → |
| CVE-2019-18678 | NVD → |
| CVE-2020-8450 | NVD → |
| CVE-2020-15049 | NVD → |
| CVE-2020-14058 | NVD → |
| CVE-2021-28652 | NVD → |
| CVE-2020-24606 | NVD → |
| CVE-2019-13345 | NVD → |
| CVE-2019-18677 | NVD → |
| CVE-2021-33620 | NVD → |
| CVE-2019-12526 | NVD → |
| CVE-2024-25617 | NVD → |
| CVE-2021-28116 | NVD → |
| CVE-2016-10003 | NVD → |
| CVE-2019-12521 | NVD → |
🔴 Security scanning identified 56 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 This volume strongly suggests severely outdated software.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.
196.51.68.49 has been assigned a threat score of 65/100 (High). At this threat level, the IP is considered high risk. Firewall rules should be updated to deny traffic from this source.
The following attack categories were identified:
Our monitoring infrastructure has identified 196.51.68.49, geolocated to Tukwila, United States, operating on the network of DynaNode LLC, as a source of suspicious network activity. Our sensors captured 1 malicious requests from this address across a 1-day span, reflecting a sustained attack cadence of ~1 requests per day. This address belongs to a datacenter or cloud hosting provider. Hosting IPs are frequently leveraged by threat actors who rent cheap VPS instances specifically for conducting attacks. Active path scanning has been detected — this IP probes for hundreds of common file and directory names. United States currently accounts for 200 blocked IPs in our database, making it a significant source of malicious traffic. At 65/100, this IP presents a meaningful threat. Implement rate limiting with escalation to blocking.
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.
Credential stuffing uses stolen username-password pairs from data breaches to attempt logins across many websites. Since users frequently reuse passwords, these automated attacks achieve success rates of 0.1-2%, which translates to thousands of compromised accounts from millions of attempts.
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.