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Security Scan Report: w-wcncfrr2025-new.web.id

Redirected to: https://w-wcncfrr2025-new.web.id/cgi-sys/suspendedpage.cgi

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Submitted: Dec 11, 2025, 10:10:23 AMCompleted: Dec 11, 2025, 10:11:24 AMpubliccompleted
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Summary

This website contacted 13 IPs in 3 countries across 5 domains to perform 11 HTTP transactions. The main domain is w-wcncfrr2025-new.web.id and was registered NaN years ago.

Submitted URL: https://w-wcncfrr2025-new.web.id/

Effective URL: https://w-wcncfrr2025-new.web.id/cgi-sys/suspendedpage.cgiRedirected

AI Security Verdict

High Risk

Confidence: 92%

10
Risk Score

The site is a newly created, socially engineered phishing page; do not trust it.

Risk Factors
Social engineering warning from Google Safe Browsing
Critical domain age (<7 days) indicating a newly created malicious site
Suspended‑page message that may trick users into providing credentials elsewhere
Domain age information unavailable

Details

Page Title

Akun Ditangguhkan - AnymHost

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

finance banking

(28%)

Domain Information

You're looking at domain 'w-wcncfrr2025-new.web.id' on the Indonesian country-code top-level domain (.web.id) with no subdomain. Its registrable label 'w-wcncfrr2025-new' stretches across 17 characters containing one vowel alongside 10 consonants; bonus characters include 4 digits and two hyphens. Segmentation suggests 7 words: w, wc, n, cfr, r, 2025, new. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://w-wcncfrr2025-new.web.id/

Page Load Overview

27.72s
Total Load Time
11
HTTP Requests
5
Domains
331 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:id
Text Length:379 chars
Detector Agreement:60%

Website Classification

Primary Category

finance banking28% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11172.67.144.68United States
AS13335CLOUDFLARENET
0172.217.18.3United States
AS15169GOOGLE
0104.17.24.14United States
AS13335CLOUDFLARENET
0163.223.227.38Indonesia
AS199695PT Anym Network Indonesia
0216.58.206.42United States
AS15169GOOGLE
0104.21.28.54United States
AS13335CLOUDFLARENET
02a00:1450:4001:831::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
0104.17.25.14United States
AS13335CLOUDFLARENET
02606:4700:3035::6815:1c36United States
AS13335CLOUDFLARENET
02606:4700:3037::ac43:9044United States
AS13335CLOUDFLARENET
1113--

Detected Technologies1

HTTP/3
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E812735A12E310A66813E57937EB6B8E32619013CE0ACE657EDD1250CFCA7F578E274C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:/9F/PMaEEKMqBHBR4bu445YBg6RE3/d/Tfsnpf0oaAK0y+LjCJyx/KdZDz0:/jnM3GSDz0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9758:MIAEISAJgggUQ0gDI1QzMOEhYLIwHAIohyEZMAJImJjwNEACapABoEQkEABgIkaEQdEmJoSKJOAAimBABgQRLZaYDkaYZmDG

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

Average Hash:fefb83d3f383d3ff
Perceptual Hash:ec45d392d36c3c45
Difference Hash:c8373616973737cf
Wavelet Hash:7ef98181c181f1e7
Color Hash:#9e87c5

Other Hashes

Crop Resistant:c8373616973737cf,0f3d796d78706871

Scan History

Scan history not available

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