IP Threat Report
118.91.170.38
ABUSE.MOM — BEHAVE OR GET EXPOSED
Geolocation & Classification
Detection Signatures
| Signature | Description | Points | Severity |
|---|---|---|---|
| Danger strong hits: 1 | High-risk paths: shells, RCE vectors, exploits | +25 | |
| Danger medium hits: 1 | Medium-risk: admin panels, config files | +10 | |
| 404 ratio >= 60% | Majority of requests returned 404 — enumeration | +25 | |
| POST requests present | Behavioral anomaly detected by automated analysis | +8 |
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 118.91.170.38 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
🔎 Directory Scan Defense
IP 118.91.170.38 is enumerating directories. Configure fail2ban apache-404 jail after 10+ 404 errors. Disable directory listings. Normalize all 404 responses.
Open Ports & Services
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 |
| 1701 | Unknown | Low | Service on port 1701 |
| 2000 | Unknown | Low | Service on port 2000 |
| 8081 | Unknown | Low | Service on port 8081 |
| CVE ID | Link |
|---|---|
| CVE-2025-32728 | NVD → |
| CVE-2021-36368 | NVD → |
| CVE-2018-15473 | NVD → |
| CVE-2018-15919 | NVD → |
| CVE-2023-51385 | NVD → |
| CVE-2008-3844 | NVD → |
| CVE-2021-41617 | NVD → |
| CVE-2023-51767 | NVD → |
| CVE-2020-15778 | NVD → |
| CVE-2019-6111 | NVD → |
| CVE-2025-26465 | NVD → |
| CVE-2019-6110 | NVD → |
| CVE-2018-20685 | NVD → |
| CVE-2020-14145 | NVD → |
| CVE-2023-38408 | NVD → |
| CVE-2019-6109 | NVD → |
| CVE-2007-2768 | NVD → |
| CVE-2017-15906 | NVD → |
| CVE-2023-48795 | NVD → |
| CVE-2016-20012 | NVD → |
🔴 This host has 20 known CVEs associated with its exposed services. This volume strongly suggests severely outdated software. Review each CVE in the NVD database.
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
118.91.170.38 has been assigned a threat score of 68/100 (High). This classifies it as a high-severity threat. Proactive blocking is recommended for sensitive infrastructure.
The following attack categories were identified:
📊 Threat Analysis
Network traffic from 118.91.170.38, located in Kathmandu, NP, operating on the network of Websurfer Nepal Communication System Pvt. Ltd, has been classified as malicious by our automated threat scoring engine. Over a period of 1 days, this IP generated 1 malicious requests, averaging approximately 1 requests per day. 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. Active path scanning has been detected — this IP probes for hundreds of common file and directory names. NP currently accounts for 102 blocked IPs in our database, making it a significant source of malicious traffic. The score of 68/100 warrants active monitoring and rate-limiting. Full blocking is advisable for sensitive systems.
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.
Related Threats
Security Intelligence
💡 HTTP Request Smuggling
Request smuggling exploits differences in how front-end and back-end servers parse HTTP requests. This technique can bypass security controls, poison web caches, and hijack other users sessions by desynchronizing request boundaries.
💡 Autonomous System Analysis
Analyzing attack patterns at the AS (Autonomous System) level reveals which networks harbor the most malicious activity. Some ASes have abuse rates orders of magnitude higher than average, indicating lax enforcement of acceptable use policies.