ABUSE.MOM
THREAT REPORT

IP Threat Report
14.102.84.106

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-10-20 21:17:55
First seen: 2026-10-04 13:56:12
Last seen: 2026-10-11 01:03:43
65

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 65/100. Total malicious requests observed: 131.

BOT_UARATIO_404
01

Geolocation & Classification

IP Address
14.102.84.106
Type
VPN
Country
🇮🇩 Indonesia
City
Jakarta Pusat
ISP
GSL Networks Pty LTD
Organization
VPN Consumer Jakarta, Indonesia
Autonomous System
AS137409 GSL Networks Pty LTD
Hit Count
131
02

Detection Signatures

SignatureDescriptionPointsSeverity
404 ratio >= 60%Majority of requests returned 404 — enumeration+25
UA bot: pythonKnown bot/crawler User-Agent detected+40
Σ = 65
03

Observed Activity

Reconstructed HTTP requests from server access logs. Target domains redacted for security.

[redacted]
GET
/
200
Requests shown: 1 · HTTP 404: 0 · Dangerous patterns: 0

* Typical request patterns for detected signatures. Actual target domains are redacted.

04

Timeline

2026-10-04 13:56:12
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
404 ratio >= 60% (+25), UA bot: python (+40)
2026-10-11 01:03:43
Last malicious request observed
Total score reached: 65/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

GSL Networks Pty LTD
AS137409 · 🇮🇩 Indonesia
06

Recommendations

Actions taken & recommended

  • IP 14.102.84.106 is blocked at application level (HTTP 403)
  • Consider blocking at firewall level (iptables/CSF) to reduce server load
  • Other malicious IPs detected in the same /24 subnet — consider blocking 14.102.84.0/24
  • Report abuse to the network provider via their abuse contact
  • Ensure sensitive files (.env, .git, backups) are not accessible from the web

🔎 Path Enumeration Protection

Block scanning from 14.102.84.106: rate-limit 404 responses per IP, deploy a honeypot 404 page, ensure no backup files are web-accessible.

🤖 Bot Detection

Address UA spoofing from 14.102.84.106: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.

07

Neighbors in 14.102.84.0/24

Other blocked IPs from the same /24 subnet — indicates systematic abuse from this network range.

09

Blacklist Status (DNSBL)

This IP was checked against major DNS-based blacklists used by mail servers and firewalls worldwide.

✓ Clean
cbl.abuseat.org
✓ Clean
b.barracudacentral.org
✓ Clean
zen.spamhaus.org
✓ Clean
bl.blocklist.de
✓ Clean
spam.dnsbl.sorbs.net
✓ Clean
dnsbl.dronebl.org
✓ Clean
psbl.surriel.com

Checked: Spamhaus, SpamCop, Barracuda, SORBS, CBL, UCEProtect. Results may change over time.

10

Threat Analysis

14.102.84.106 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:

Path EnumerationUser-Agent Anomaly

📊 Threat Analysis

Our monitoring infrastructure has identified 14.102.84.106, geolocated to Jakarta Pusat, Indonesia, operating on the network of GSL Networks Pty LTD, as a source of suspicious network activity. The address has been active for 6 days in our monitoring system, producing 131 flagged requests at a rate of ~21.8/day. This IP is identified as a VPN or proxy endpoint, commonly used to mask the true origin of attack traffic and bypass geographic or reputation-based blocking. The dual attack vectors of Path Enumeration combined with User-Agent Anomaly indicate a coordinated assault rather than opportunistic scanning. Indonesia currently accounts for 111 blocked IPs in our database, making it a significant source of malicious traffic. The score of 65/100 warrants active monitoring and rate-limiting. Full blocking is advisable for sensitive systems.

This IP is associated with a VPN or proxy service. Attackers frequently route their traffic through anonymizing services to obscure their true location. This makes attribution more challenging but the malicious behavior patterns remain detectable.

11

Related Threats

🇮🇩 Top threats from Indonesia

157.15.40.62 (340)157.15.40.88 (340)157.15.40.89 (340)157.15.40.61 (340)157.15.40.93 (340)View all →

🏢 Same network: AS137409

5.180.179.11 (340)212.30.37.68 (305)85.203.23.219 (305)147.90.177.238 (305)141.11.36.44 (305)View all →
12

Security Intelligence

💡 User-Agent Analysis Techniques

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.

💡 Critical Infrastructure Targeting

Attacks on power grids, water systems, and transportation networks have moved from theoretical to practical threats. Industrial control systems often lack modern security features, making them vulnerable to both targeted and opportunistic attacks.

🔍 Check Any IP Address

Share this report: