Summary
This website contacted 13 IPs in 3 countries across 5 domains to perform 12 HTTP transactions. The main domain is w-wcncfrr2025-new.web.id and was registered NaN years ago.
Submitted URL: http://w-wcncfrr2025-new.web.id/
Effective URL: https://w-wcncfrr2025-new.web.id/cgi-sys/suspendedpage.cgiRedirected
AI Security Verdict
High Risk
Confidence: 85%
High risk phishing site; do not trust
Risk Factors
Details
Page Title
Akun Ditangguhkan - AnymHost
Scan Type
public
Language
ID
Category
finance banking
(28%)Domain Information
The domain 'w-wcncfrr2025-new.web.id' uses the Indonesian country-code top-level domain (.web.id). The registrable portion 'w-wcncfrr2025-new' spans 17 characters containing 1 vowel alongside 10 consonants, along with 4 digits and two hyphens. Tokenizing the label suggests seven words: w, wc, n, cfr, r, 2025, new. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 12 | 216.58.206.67 | United States | AS15169GOOGLE |
| 0 | 104.21.28.54 | United States | AS13335CLOUDFLARENET |
| 0 | 142.250.186.138 | United States | AS15169GOOGLE |
| 0 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 0 | 163.223.227.38 | Indonesia | AS199695PT Anym Network Indonesia |
| 0 | 2606:4700:3035::6815:1c36 | United States | AS13335CLOUDFLARENET |
| 0 | 2a00:1450:4001:831::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 0 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 0 | 2a00:1450:4001:813::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 0 | 172.67.144.68 | United States | AS13335CLOUDFLARENET |
| 12 | 13 | - | - |
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.
Image Hashes
Perceptual Hashes
Other Hashes
Scan History
Scan history not available
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