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Security Scan Report: thundering-gray-zijtulis3w-an92ywml1q.edgeone.app

Submitted: Apr 1, 2026, 6:20:54 AMCompleted: Apr 1, 2026, 6:22:15 AMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 7 domains to perform 22 HTTP transactions. The main domain is thundering-gray-zijtulis3w-an92ywml1q.edgeone.app and was registered NaN years ago.

Submitted URL: https://thundering-gray-zijtulis3w-an92ywml1q.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

New subdomain with a simple non‑credential form; low to moderate risk, no clear malicious activity.

Risk Factors
Newly created subdomain (age < 7 days)
Low Cisco Umbrella ranking (outside top 100k)
Hosted on a free/shared platform (edgeone.app)
Cross‑origin network request to an external API
Safety Factors
No password or payment fields in the form
No malicious Indicators of Compromise matches
No JavaScript malware patterns detected
No network IDS alerts
Standard CDN resources only
Domain age information unavailable

Details

Page Title

Plataforma Vasp Expresso Maia

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

finance banking

(38%)

Domain Information

The domain 'thundering-gray-zijtulis3w-an92ywml1q.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'thundering-gray-zijtulis3w-an92ywml1q'. Count 7 characters in 'edgeone' with four vowels and 3 consonants. Segmentation suggests 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://thundering-gray-zijtulis3w-an92ywml1q.edgeone.app/

Page Load Overview

1.47s
Total Load Time
18
HTTP Requests
7
Domains
947 KB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:pt
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:pt
Text Length:44,404 chars
Detector Agreement:67%

Website Classification

Primary Category

finance banking38% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
38%
adult content
37%
government public service
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
643.152.26.58Singapore
AS139341ACE
2172.67.176.5Singapore
AS139341
2142.250.201.74United States
AS15169Google LLC
2142.251.14.94United States
AS15169Google LLC
2104.16.174.226United States
AS13335Cloudflare, Inc.
2104.17.24.14United States
AS13335Cloudflare, Inc.
2172.67.68.11SingaporeUnknown
187--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T197C4953135E305A521D7DAEFE33B6F51A0AE2207ED0781A0B86CA2D08FDED95DD21674

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:oha0rxjPlnC2axAyv2KTlvjsepXtxhQ4ultP+ZwUZ5j+ieFgmXQ:oha0vnba2W7smXThQhP+uU5j+ieFgt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:562229:6JwIAmIIAimcTAAFWMFdUvArQEkxpawNS2QAUrwaRmZCXCkApIGyAAUQWzAFaQZxFGEaAEFa5pIJAUTAIgQSOhkAiJACO6Rg

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:0101191919190101
Perceptual Hash:88663399cc66dd33
Difference Hash:093131b1b1313109
Wavelet Hash:0119191919191901
Color Hash:#413a78

Other Hashes

Crop Resistant:0e8062606060600e,093131b3b3333109

Scan History

Scan history not available

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