ABUSE.MOM
THREAT REPORT

IP Threat Report
217.103.169.233

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-27 06:38:41
First seen: 2026-03-04 16:49:12
Last seen: 2026-03-04 16:49:12
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
217.103.169.233
Type
Residential
Country
🇳🇱 Netherlands
City
Amsterdam
ISP
Vodafone Ziggo
Organization
Ziggo Services B.V.
Autonomous System
AS33915 Vodafone Libertel B.V.
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

2026-03-04 16:49:12
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Form spam: no_js_check
2026-03-04 16:49:12
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

Vodafone Ziggo
AS33915 · 🇳🇱 Netherlands
06

Recommendations

Actions taken & recommended

  • IP 217.103.169.233 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.

09

Blacklist Status (DNSBL)

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

✓ Clean
Spamhaus ZEN

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

10

Threat Analysis

217.103.169.233 has been assigned a threat score of 70/100 (High). This classifies it as a high-severity threat. Proactive blocking is recommended for sensitive infrastructure.

📊 Threat Analysis

217.103.169.233 is registered in Amsterdam, Netherlands, operating on the network of Vodafone Ziggo. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. Our sensors captured 1 malicious requests from this address across a 1-day span, reflecting a sustained attack cadence of ~1 requests per day. Operating from a residential network, this IP may represent a compromised home gateway or IoT device that has been drafted into a larger attack infrastructure. Netherlands currently accounts for 126 blocked IPs in our database, making it a significant source of malicious traffic. The score of 70/100 indicates a confirmed malicious actor. Network-level blocking is appropriate.

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 Netherlands

185.184.192.251 (338)45.88.138.44 (320)45.82.64.236 (315)5.181.169.192 (313)157.22.73.141 (313)View all →

🏢 Same network: AS33915

84.107.169.132 (110)89.99.217.10 (103)62.163.82.39 (103)24.132.185.158 (103)89.99.152.10 (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.

💡 Insider Threat Indicators

Insider threats — whether malicious or negligent — account for a significant percentage of data breaches. Behavioral analytics detecting unusual access patterns, data downloads, and privilege escalation help identify insider risks before damage occurs.

🔍 Check Any IP Address

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