ABUSE.MOM
THREAT REPORT

IP Threat Report
31.171.130.80

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-22 00:58:16
First seen: 2026-03-25 10:00:08
Last seen: 2026-03-25 10:00:08
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
31.171.130.80
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 10:00:08
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 10:00:08
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 31.171.130.80 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 31.171.130.80: 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.

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

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

10

Threat Analysis

31.171.130.80 has been assigned a threat score of 75/100 (High). This score indicates high threat severity. The IP has shown clear patterns of malicious behavior that warrant immediate defensive measures.

The following attack categories were identified:

User-Agent Anomaly

📊 Threat Analysis

Network traffic from 31.171.130.80, located in Slough, United Kingdom, operating on the network of F.N.S. HOLDINGS LIMITED, has been classified as malicious by our automated threat scoring engine. During its 1-day observation window, we recorded 1 hostile requests from this IP — roughly 1 per day on average. Classified as a VPN or proxy server, this IP serves as an anonymization layer. While VPNs have legitimate uses, this address has been observed routing clearly malicious traffic. The IP exhibits User-Agent manipulation, switching between different browser identities or sending empty headers. United Kingdom currently accounts for 145 blocked IPs in our database, making it a significant source of malicious traffic. 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

💡 TLS Fingerprinting (JA3/JA4)

TLS fingerprinting creates unique identifiers based on how clients negotiate encrypted connections. The JA3 and JA4 methods generate hashes from TLS ClientHello parameters, enabling identification of specific tools and malware regardless of IP address changes.

💡 False Positive Management

False positives erode trust in security systems and waste analyst resources. Effective management requires feedback loops, allowlisting mechanisms, contextual analysis, and regular tuning of detection rules based on operational experience.

🔍 Check Any IP Address

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