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Security Scan Report: metropolitan-lime-rhdns7wlhr-av0cmcblpk.edgeone.app

Submitted: Apr 13, 2026, 6:00:41 AMCompleted: Apr 13, 2026, 6:01:52 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is metropolitan-lime-rhdns7wlhr-av0cmcblpk.edgeone.app and was registered NaN years ago.

Submitted URL: https://metropolitan-lime-rhdns7wlhr-av0cmcblpk.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

Moderate risk due to unknown subdomain age and low ranking, but no malicious activity detected.

Risk Factors
Unknown subdomain age (could be brand new)
Low domain ranking in Cisco Umbrella
Safety Factors
No forms or credential collection
No malicious Indicators of Compromise
No JavaScript malware or suspicious behavior
Domain age information unavailable

Details

Page Title

8Y MULTI INFORMAÇÕES - Inteligência Artificial

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

technology software

(69%)

Domain Information

You're looking at domain 'metropolitan-lime-rhdns7wlhr-av0cmcblpk.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'metropolitan-lime-rhdns7wlhr-av0cmcblpk'. The core label 'edgeone' covers 7 characters with four vowels and three consonants. Splitting it apart reveals two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://metropolitan-lime-rhdns7wlhr-av0cmcblpk.edgeone.app/

Page Load Overview

0.85s
Total Load Time
2
HTTP Requests
1
Domains
7 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-br
Text Length:652 chars
Detector Agreement:33%

Website Classification

Primary Category

technology software69% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
69%
documentation technical
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17922E71221E234325293A1F47B97E31A7470A113DA098AA4BDAC52D0DFCDFA544FB68D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:1FClOTFjCe/7P24ZTq9gPoJkrp2y2hUKskKZaOVnH2nEroGuHijUIYUiNIj:lTv0PhUKFK4iWnErIHijU1UiQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10111:ASYEkLMAW4ErSCFJSNFiAUBrSYAIElEi1sFcIaaQBbFjpAAGKU4A4KCwkkmVMbAASJQxBwBBEgJYEWLCAbIDF4CGhCAA4QCA

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:383c000000000000
Perceptual Hash:cccc4c4c7d733133
Difference Hash:2020100000000430
Wavelet Hash:38ff3f3f0c0c0800
Color Hash:#87c5b8

Other Hashes

Crop Resistant:2020100000000430

Scan History

Scan history not available

Unable to load historical scan data