
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| UA suspicious (short/empty) | Behavioral anomaly detected by automated analysis | +15 | |
| 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.
IP 143.110.213.94 shows suspicious UA behavior. Block empty User-Agent requests. Implement JavaScript-based bot detection for sensitive endpoints.
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 |
|---|---|---|---|
| 22 | SSH | Low | Secure Shell — common brute force target for remote access |
| 443 | HTTPS | Low | HTTPS web server — encrypted web traffic |
| CVE ID | Link |
|---|---|
| CVE-2023-31122 | NVD → |
| CVE-2021-44224 | NVD → |
| CVE-2009-2144 | NVD → |
| CVE-2011-4673 | NVD → |
| CVE-2020-35452 | NVD → |
| CVE-2012-1205 | NVD → |
| CVE-2011-4671 | NVD → |
| CVE-2011-3861 | NVD → |
| CVE-2009-2122 | NVD → |
| CVE-2020-13938 | NVD → |
| CVE-2009-2299 | NVD → |
| CVE-2012-3526 | NVD → |
| CVE-2024-38473 | NVD → |
| CVE-2024-39573 | NVD → |
| CVE-2009-4168 | NVD → |
| CVE-2010-1186 | NVD → |
| CVE-2024-24795 | NVD → |
| CVE-2008-5752 | NVD → |
| CVE-2021-32785 | NVD → |
| CVE-2012-1786 | NVD → |
| CVE-2019-10098 | NVD → |
| CVE-2021-32792 | NVD → |
| CVE-2022-29404 | NVD → |
| CVE-2009-2396 | NVD → |
| CVE-2024-38475 | NVD → |
🔴 Security scanning identified 180 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 This volume strongly suggests severely outdated software.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.
143.110.213.94 has been assigned a threat score of 85/100 (Critical). This places it in the critical threat category. Immediate blocking is strongly advised across all network perimeters.
The following attack categories were identified:
IP address 143.110.213.94 has been traced to Toronto, Canada, operating on the network of DigitalOcean, LLC. Our threat detection systems have flagged this address based on observed malicious behavior patterns. The address has been active for 1 days in our monitoring system, producing 1 flagged requests at a rate of ~1/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. Detected suspicious User-Agent anomalies including empty, forged, or rapidly rotating UA strings — characteristic of automated scanning tools. Our records show 108 malicious IPs originating from Canada, positioning it as a significant contributor to global threat activity. At 85/100, this IP warrants immediate defensive action.
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.
Analyzing User-Agent strings reveals automated tools masquerading as legitimate browsers. Inconsistencies between claimed browser capabilities and actual behavior, impossible version combinations, and known scanner signatures help identify malicious clients.
Advanced techniques enable threat detection while minimizing privacy impact. Encrypted DNS, differential privacy in analytics, and federated learning for threat models allow effective security monitoring without unnecessary surveillance of legitimate user behavior.