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Security Scan Report: diadasmaes-belezanaweb.vercel.app

Submitted: Jul 3, 2026, 11:52:02 AMCompleted: Jul 3, 2026, 11:53:37 AMpubliccompleted
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Summary

This website contacted 4 IPs in 3 countries across 4 domains to perform 2 HTTP transactions. The main domain is diadasmaes-belezanaweb.vercel.app and was registered NaN years ago.

Submitted URL: https://diadasmaes-belezanaweb.vercel.app/?fbclid=IwZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMjU2MjgxMDQwNTU4AAEeQh7XihgVoWsvcSkK75jAqmWswgMca5n9KEDk9jtgEBGQdVwJluPp3QbWslk_aem_5CulExurOdyY4VEKUAtnng

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

No malicious forms or indicators; only high JS obfuscation without network activity; low risk.

Risk Factors
Critical JavaScript obfuscation score (high entropy, many eval calls)
Subdomain creation date unknown (could be brand new)
Safety Factors
Hosted on reputable Vercel platform
Self‑branding matches domain (no brand impersonation)
Absence of credential/payment forms
No malicious external domains or network activity
Domain age information unavailable

Details

Page Title

diadasmaes-belezanaweb.vercel.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(79%)

Domain Information

The domain 'diadasmaes-belezanaweb.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'diadasmaes-belezanaweb'. The core label 'vercel' covers 6 characters holding two vowels versus four consonants. Segmentation suggests two words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://diadasmaes-belezanaweb.vercel.app/?fbclid=IwZXh0bgNhZW0CMTEAc3J0YwZhcHBfaWQMMjU2MjgxMDQwNTU4AAEeQh7XihgVoWsvcSkK75jAqmWswgMca5n9KEDk9jtgEBGQdVwJluPp3QbWslk_aem_5CulExurOdyY4VEKUAtnng

Page Load Overview

8.09s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:795 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software79% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
79%
documentation technical
54%
adult content
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1184.24.77.59Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0178.250.1.39France
AS44788Criteo Technology SAS
064.29.17.3United States
AS16509Amazon.com, Inc.
0146.75.121.137Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
14--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T157048F77329A063986558498E05B430D9F20B143F50AC9BC79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:C/Qho9PKBb9Js3q9Jzbs6tlg1ySBKwdQ9gcoIsPQ2bMy8Old1:jhoC9JSqzzbs6okSjggcps42eAD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:188310:4GUDUNlCJj0YqhGAawQBESgANQOcBQkFoMhAjm8CMGcMQCWtSjIUuAQFwxpkB6L6GBEpQDSAoEHbBKSwhEy2IEAySH0IAiJQ

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339acccc933365
Difference Hash:00181c1616000000
Wavelet Hash:3f1f0707003c3030
Color Hash:#5f2d86

Other Hashes

Crop Resistant:00181c1616000000

Scan History

Scan history not available

Unable to load historical scan data