
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 | |
| Probe pattern 302->404 same path | Behavioral anomaly detected by automated analysis | +20 | |
| Foreign referer seen | Referer from unrelated external domain | +10 | |
| Imported from old blocklist | Behavioral anomaly detected by automated analysis | +0 |
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
IP 159.65.5.132 is enumerating directories. Configure fail2ban apache-404 jail after 10+ 404 errors. Disable directory listings. Normalize all 404 responses.
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 |
| CVE ID | Link |
|---|---|
| CVE-2023-31122 | NVD → |
| CVE-2025-66200 | NVD → |
| CVE-2023-25690 | NVD → |
| CVE-2006-20001 | NVD → |
| CVE-2024-40898 | NVD → |
| CVE-2022-26377 | NVD → |
| CVE-2024-42516 | NVD → |
| CVE-2025-23048 | NVD → |
| CVE-2012-4001 | NVD → |
| CVE-2009-2299 | NVD → |
| CVE-2012-3526 | NVD → |
| CVE-2013-0941 | NVD → |
| CVE-2024-38473 | NVD → |
| CVE-2013-0942 | NVD → |
| CVE-2024-39573 | NVD → |
| CVE-2025-58098 | NVD → |
| CVE-2024-24795 | NVD → |
| CVE-2013-4365 | NVD → |
| CVE-2011-2688 | NVD → |
| CVE-2024-38472 | NVD → |
| CVE-2022-37436 | NVD → |
| CVE-2024-38477 | NVD → |
| CVE-2009-0796 | NVD → |
| CVE-2022-29404 | NVD → |
| CVE-2022-23943 | NVD → |
🔴 Security scanning identified 54 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 This volume strongly suggests severely outdated software.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.
159.65.5.132 has been assigned a threat score of 85/100 (Critical). With this rating, the IP falls into the critical severity bracket — among the most dangerous addresses in our monitoring database.
The following attack categories were identified:
IP address 159.65.5.132 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 3 malicious requests, averaging approximately 3 requests per day. Operating from datacenter infrastructure, this IP is typical of addresses used in organized attack operations. Cloud and VPS providers are commonly exploited as launching platforms for automated scanning. Active path scanning has been detected — this IP probes for hundreds of common file and directory names. Our records show 141 malicious IPs originating from Singapore, 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.
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.
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.