IP Threat Report
178.128.219.200
ABUSE.MOM — BEHAVE OR GET EXPOSED
Geolocation & Classification
Detection Signatures
| Signature | Description | Points | Severity |
|---|---|---|---|
| Danger strong hits: 3 | High-risk paths: shells, RCE vectors, exploits | +75 | |
| Danger medium hits: 2 | Medium-risk: admin panels, config files | +20 |
Observed Activity
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
Timeline
Network Provider
Recommendations
Actions taken & recommended
- IP 178.128.219.200 is blocked at application level (HTTP 403)
- Consider blocking at firewall level (iptables/CSF) to reduce server load
- Report abuse to the network provider via their abuse contact
- Ensure sensitive files (.env, .git, backups) are not accessible from the web
⚙️ General Security
Add 178.128.219.200 to your firewall blocklist. Review logs for successful connections. Enable comprehensive logging on all public-facing services.
Open Ports & Services
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 |
| 81 | Unknown | Low | Service on port 81 |
| 8083 | Unknown | Low | Service on port 8083 |
| 9888 | Unknown | Low | Service on port 9888 |
| 20000 | Unknown | Low | Service on port 20000 |
| CVE ID | Link |
|---|---|
| CVE-2021-33193 | NVD → |
| CVE-2024-27316 | NVD → |
| CVE-2024-38473 | NVD → |
| CVE-2017-3167 | NVD → |
| CVE-2009-0796 | NVD → |
| CVE-2019-0217 | NVD → |
| CVE-2025-23419 | NVD → |
| CVE-2022-28330 | NVD → |
| CVE-2021-44790 | NVD → |
| CVE-2021-40438 | NVD → |
| CVE-2022-30556 | NVD → |
| CVE-2018-1283 | NVD → |
| CVE-2009-2299 | NVD → |
| CVE-2022-37436 | NVD → |
| CVE-2006-20001 | NVD → |
| CVE-2018-1333 | NVD → |
| CVE-2019-20372 | NVD → |
| CVE-2020-11985 | NVD → |
| CVE-2012-4360 | NVD → |
| CVE-2017-15710 | NVD → |
| CVE-2016-8743 | NVD → |
| CVE-2019-9513 | NVD → |
| CVE-2024-24795 | NVD → |
| CVE-2017-9788 | NVD → |
| CVE-2025-66200 | NVD → |
🔴 Security scanning identified 110 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 This volume strongly suggests severely outdated software.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.
Blacklist Status (DNSBL)
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.
Threat Analysis
178.128.219.200 has been assigned a threat score of 95/100 (Critical). This represents a critical risk level. Our detection systems have flagged multiple high-confidence indicators of malicious intent from this address.
📊 Threat Analysis
IP address 178.128.219.200 has been traced to Singapore, Singapore, operating on the network of DigitalOcean, LLC. Our threat detection systems have flagged this address based on observed malicious behavior patterns. Over a period of 1 days, this IP generated 1 malicious requests, averaging approximately 1 requests per day. The IP is classified as hosting/datacenter infrastructure, commonly associated with rented servers used for automated attack campaigns, botnet command-and-control, or vulnerability scanning at scale. With 140 flagged addresses, Singapore represents a significant presence in our threat database. A score of 95/100 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.
Related Threats
Security Intelligence
💡 File Upload Vulnerabilities
Insecure file upload functionality allows attackers to upload web shells, malware, or scripts that execute on the server. Proper validation must check file content, not just extensions, and uploaded files should be stored outside the web root.
💡 Machine Learning in Threat Detection
Machine learning models analyze vast amounts of network traffic to identify attack patterns invisible to rule-based systems. Supervised models classify known attack types while unsupervised models detect anomalies that may indicate novel threats.