Security Scan Report: mad-club-liet.pages.dev

Submitted: Dec 12, 2025, 3:09:40 PMCompleted: Dec 12, 2025, 3:13:51 PMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 3 domains to perform 24 HTTP transactions. The main domain is mad-club-liet.pages.dev and was registered NaN years ago.

Submitted URL: https://mad-club-liet.pages.dev/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain (>5 years)
No suspicious forms or inputs
No external links or redirects
Domain age information unavailable

Details

Page Title

MAD Club - Mobile App Development

Scan Type

public

Language

🇧🇩

BN

(50% confidence)

Category

cryptocurrency blockchain

(76%)

Domain Information

You're looking at domain 'mad-club-liet.pages.dev' on the developer-focused generic top-level domain (.dev) and includes subdomain 'mad-club-liet'. The registrable portion 'pages' spans 5 characters split between 2 vowels and 3 consonants. Word splitting yields one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mad-club-liet.pages.dev/

Page Load Overview

248.02s
Total Load Time
24
HTTP Requests
3
Domains
336 KB
Total Size

Language Analysis

Primary Language

🇧🇩Bengali
Code: bn
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:bn
Detection Confidence:50%
Script Type:Unknown
Text Length:3,496 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain76% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
76%
technology software
65%
healthcare medical
60%
documentation technical
59%
finance banking
58%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
68.6.112.0United States
AS13335CLOUDFLARENET
6172.66.44.185United States
AS13335CLOUDFLARENET
6151.101.193.229San Francisco, California, United States
AS54113FASTLY
68.47.69.0United States
AS13335CLOUDFLARENET
244--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EC0331B414F1242721574091FAA65F5F6ED1EA03DA4F9100B6FC8BDA9FC3D86CE2712A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:w5IIlGWKhymNd4essGU+kFXdXvjl+pb0c/rBKw:w5IIlGd4essGU+kFtXvjKb0O

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:37748:ZGGhAAuyhiB7CJSRIdh4klAqAQpl9wBAAYg8AwlJaQoFDEN3L5DqAUDggZAgConBGHkK+MAiEsjKAgEGRA3Fdggqo80gcSah

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:05041c3c3c3c3c00
Perceptual Hash:8a3573cc8833d9ec
Difference Hash:ddc5f1f1f1f1e9c1
Wavelet Hash:050d3d3d3d3d3d21
Color Hash:#40bf95

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data