ABUSE.MOM
THREAT REPORT

IP Threat Report
217.181.92.172

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-07-29 11:11:37
First seen: 2026-06-28 14:47:36
Last seen: 2026-07-05 03:56:53
65

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 65/100. Total malicious requests observed: 300.

BOT_UARATIO_404
01

Geolocation & Classification

IP Address
217.181.92.172
Type
VPN
Country
🇩🇪 Germany
City
Berlin
ISP
3xK Tech GmbH
Organization
3xK Tech GmbH
Autonomous System
AS200373 3xK Tech GmbH
Hit Count
300
02

Detection Signatures

SignatureDescriptionPointsSeverity
404 ratio >= 60%Majority of requests returned 404 — enumeration+25
UA bot: curlKnown 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

2026-06-28 14:47:36
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
404 ratio >= 60% (+25), UA bot: curl (+40)
2026-07-05 03:56:53
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

3xK Tech GmbH
AS200373 · 🇩🇪 Germany
06

Recommendations

Actions taken & recommended

  • IP 217.181.92.172 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 217.181.92.0/24
  • 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 217.181.92.172 is enumerating directories. Configure fail2ban apache-404 jail after 10+ 404 errors. Disable directory listings. Normalize all 404 responses.

🤖 Bot Detection

Address UA spoofing from 217.181.92.172: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.

07

Neighbors in 217.181.92.0/24

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

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

10

Threat Analysis

217.181.92.172 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

IP address 217.181.92.172 has been traced to Berlin, Germany, operating on the network of 3xK Tech GmbH. Our threat detection systems have flagged this address based on observed malicious behavior patterns. Over a period of 6 days, this IP generated 300 malicious requests, averaging approximately 50 requests per day. The address operates as a VPN/proxy exit node. Attackers route traffic through anonymizing services to obscure their real location and evade IP-based security controls. The dual attack vectors of Path Enumeration combined with User-Agent Anomaly indicate a coordinated assault rather than opportunistic scanning. 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 Germany

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🏢 Same network: AS200373

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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.

💡 Web Application Firewall Strategies

WAFs inspect HTTP traffic to block common attacks but require careful tuning. Overly aggressive rules cause false positives while permissive configurations miss attacks. Modern WAFs combine signature matching with behavioral analysis and machine learning.

🔍 Check Any IP Address

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