ABUSE.MOM
THREAT REPORT

IP Threat Report
91.47.226.174

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-27 12:52:44
First seen: 2026-03-03 02:33:05
Last seen: 2026-03-03 02:33:05
70

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 70/100. Total malicious requests observed: 1.

FORM_SPAM
01

Geolocation & Classification

IP Address
91.47.226.174
Type
Residential
Country
🇩🇪 Germany
City
Oberursel
ISP
Deutsche Telekom AG
Organization
Deutsche Telekom AG
Autonomous System
AS3320 Deutsche Telekom AG
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
Form spam: no_js_checkSpam/malware keywords in request content+0
Σ = 0
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

2026-03-03 02:33:05
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Form spam: no_js_check
2026-03-03 02:33:05
Last malicious request observed
Total score reached: 70/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Deutsche Telekom AG
AS3320 · 🇩🇪 Germany
06

Recommendations

Actions taken & recommended

  • IP 91.47.226.174 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

📧 Spam Protection

Enable CAPTCHA on all public forms. Add honeypot fields. Rate-limit submissions to 3 per minute per IP. Deploy Akismet or CleanTalk.

08

Open Ports & Services

Network reconnaissance data from Shodan. Open ports may indicate running services, misconfigurations, or potential attack surfaces.

OPEN PORTS (1)
PortServiceRiskDescription
8089UnknownLowService on port 8089
Hostnames: p5b2fe2ae.dip0.t-ipconnect.de
PTR: p5b2fe2ae.dip0.t-ipconnect.de

Data source: Shodan InternetDB. Scanned independently of abuse.mom.

09

Blacklist Status (DNSBL)

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

⛔ LISTED
Spamhaus ZEN

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

10

Threat Analysis

91.47.226.174 has been assigned a threat score of 70/100 (High). The IP is rated as a high-level threat. Network administrators should implement blocking rules and monitor for any connections from this address.

📊 Threat Analysis

Network traffic from 91.47.226.174, located in Oberursel, Germany, operating on the network of Deutsche Telekom AG, has been classified as malicious by our automated threat scoring engine. The address has been active for 1 days in our monitoring system, producing 1 flagged requests at a rate of ~1/day. This residential IP is likely a compromised consumer device. Home routers and IoT equipment with default credentials are prime targets for botnet operators. Germany currently accounts for 159 blocked IPs in our database, making it a significant source of malicious traffic. A threat score of 70/100 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)77.81.65.244 (313)185.168.29.98 (313)91.217.249.222 (305)212.30.36.219 (305)View all →

🏢 Same network: AS3320

87.181.64.183 (145)209.166.16.14 (140)93.216.74.62 (140)87.159.207.2 (103)217.255.121.3 (103)View all →
12

Security Intelligence

💡 SQL Injection Campaigns

SQL injection remains one of the most common web attack vectors. Attackers inject malicious SQL code through input fields to extract database contents, modify data, or gain administrative access. Automated scanners test for SQLi vulnerabilities at massive scale.

💡 Log Correlation and SIEM Integration

Correlating logs across web servers, firewalls, DNS, and authentication systems reveals attack patterns invisible in individual log sources. Modern SIEM platforms use statistical analysis to connect related events across time and systems.

🔍 Check Any IP Address

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