ABUSE.MOM
THREAT REPORT

IP Threat Report
94.249.239.64

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-07-05 05:24:05
First seen: 2026-07-02 09:32:18
Last seen: 2026-07-05 03:46:48
75

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 75/100. Total malicious requests observed: 124.

BOT_UAREFERERUA_CHANGED
01

Geolocation & Classification

IP Address
94.249.239.64
Type
Residential
Country
🇩🇪 Germany
City
Frankfurt am Main
ISP
SAS GENIUSWEER
Organization
MitaX Network
Autonomous System
AS215607 dataforest GmbH
Hit Count
124
02

Detection Signatures

SignatureDescriptionPointsSeverity
Foreign refererReferer from unrelated external domain+10
UA bot: Go-http-clientKnown bot/crawler User-Agent detected+40
UA changedMultiple User-Agents — bot rotation technique+25
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

2026-07-02 09:32:18
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Foreign referer (+10), UA bot: Go-http-client (+40), UA changed (+25)
2026-07-05 03:46:48
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

SAS GENIUSWEER
AS215607 · 🇩🇪 Germany
06

Recommendations

Actions taken & recommended

  • IP 94.249.239.64 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

🤖 Bot Detection

Address UA spoofing from 94.249.239.64: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.

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
dnsbl.dronebl.org
✓ Clean
cbl.abuseat.org
✓ Clean
spam.dnsbl.sorbs.net
✓ Clean
bl.blocklist.de
✓ Clean
b.barracudacentral.org

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

10

Threat Analysis

94.249.239.64 has been assigned a threat score of 75/100 (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:

User-Agent Anomaly

📊 Threat Analysis

IP address 94.249.239.64 has been traced to Frankfurt am Main, Germany, operating on the network of SAS GENIUSWEER. Our threat detection systems have flagged this address based on observed malicious behavior patterns. Our sensors captured 124 malicious requests from this address across a 2-day span, reflecting a sustained attack cadence of ~62 requests per day. The address is classified as residential, meaning it likely belongs to an end-user ISP connection. Malicious activity from residential IPs typically indicates device compromise or botnet membership. The IP exhibits User-Agent manipulation, switching between different browser identities or sending empty headers. With 101 flagged addresses, Germany represents a significant presence in our threat database. A threat score of 75/100 places this IP in the high-risk category. Blocking at the firewall level is recommended.

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.

11

Related Threats

🇩🇪 Top threats from Germany

15.220.152.241 (320)35.246.204.221 (320)185.168.29.98 (313)77.81.65.244 (313)91.217.249.222 (305)View all →

🏢 Same network: AS215607

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.

💡 WebSocket Security Considerations

WebSocket connections bypass traditional HTTP security controls, creating opportunities for cross-site WebSocket hijacking, denial of service, and data injection. Proper origin validation, authentication, and message rate limiting are essential for secure WebSocket implementations.

🔍 Check Any IP Address

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