ABUSE.MOM
THREAT REPORT

IP Threat Report
31.171.130.158

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-27 05:22:52
First seen: 2026-03-25 06:00:06
Last seen: 2026-03-25 06:00:06
75

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 75/100. Total malicious requests observed: 1.

UA_SUSDANGER_PATH
01

Geolocation & Classification

IP Address
31.171.130.158
Type
VPN/Proxy
Country
🇬🇧 United Kingdom
City
Slough
ISP
F.N.S. HOLDINGS LIMITED
Organization
NR Cust Expressvpn
Autonomous System
AS206092 F.N.S. HOLDINGS LIMITED
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
UA suspicious (short/empty)Behavioral anomaly detected by automated analysis+15
Danger strong hits: 2High-risk paths: shells, RCE vectors, exploits+50
Danger medium hits: 1Medium-risk: admin panels, config files+10
Σ = 75
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

2026-03-25 06:00:06
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
UA suspicious (short/empty) (+15), Danger strong hits: 2 (+50), Danger medium hits: 1 (+10)
2026-03-25 06:00:06
Last malicious request observed
Total score reached: 75/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

F.N.S. HOLDINGS LIMITED
AS206092 · 🇬🇧 United Kingdom
06

Recommendations

Actions taken & recommended

  • IP 31.171.130.158 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 31.171.130.0/24
  • Report abuse to the network provider via their abuse contact
  • Ensure sensitive files (.env, .git, backups) are not accessible from the web

🤖 Bot Detection

Address UA spoofing from 31.171.130.158: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.

07

Neighbors in 31.171.130.0/24

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
dnsbl.sorbs.net
✓ Clean
ix.dnsbl.manitu.net
✓ Clean
zen.spamhaus.org
✓ Clean
bl.spamcop.net
✓ Clean
dnsbl-1.uceprotect.net
✓ Clean
psbl.surriel.com
✓ Clean
b.barracudacentral.org
✓ Clean
truncate.gbudb.net

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

10

Threat Analysis

31.171.130.158 has been assigned a threat score of 75/100 (High). The IP is rated as a high-level threat. Network administrators should implement blocking rules and monitor for any connections from this address.

The following attack categories were identified:

User-Agent Anomaly

📊 Threat Analysis

IP address 31.171.130.158 has been traced to Slough, United Kingdom, operating on the network of F.N.S. HOLDINGS LIMITED. 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 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 IP exhibits User-Agent manipulation, switching between different browser identities or sending empty headers. With 145 flagged addresses, United Kingdom represents a significant presence in our threat database. The score of 75/100 indicates a confirmed malicious actor. Network-level blocking is appropriate.

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 United Kingdom

104.28.208.60 (340)104.28.240.60 (340)91.230.225.3 (305)45.86.203.224 (305)45.86.203.35 (305)View all →

🏢 Same network: AS206092

103.163.220.216 (340)85.203.21.101 (320)85.203.21.157 (310)85.203.21.172 (305)91.217.249.222 (305)View all →
12

Security Intelligence

💡 HTTP Header Analysis for Threat Detection

Examining HTTP headers beyond User-Agent reveals attack tools and automated scripts. Missing standard headers, unusual ordering, non-standard values, and inconsistencies with claimed client identity all serve as reliable detection signals.

💡 Security Header Best Practices

HTTP security headers provide defense-in-depth with minimal implementation effort. Key headers include Strict-Transport-Security, X-Content-Type-Options, X-Frame-Options, Referrer-Policy, and Permissions-Policy, each addressing specific attack vectors.

🔍 Check Any IP Address

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