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Security Scan Report: drunk-purple-wzaajy4nn5-k9uxmdaxng.edgeone.app

Submitted: Mar 10, 2026, 10:10:16 AMCompleted: Mar 10, 2026, 10:11:26 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 13 HTTP transactions. The main domain is drunk-purple-wzaajy4nn5-k9uxmdaxng.edgeone.app and was registered NaN years ago.

Submitted URL: https://drunk-purple-wzaajy4nn5-k9uxmdaxng.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Luiz Eduardo Tech | Portal Oficial 2019-2026

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

entertainment media

(65%)

Domain Information

The domain name 'drunk-purple-wzaajy4nn5-k9uxmdaxng.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'drunk-purple-wzaajy4nn5-k9uxmdaxng'. The registrable portion 'edgeone' spans 7 characters with 4 vowels and three consonants. It segments into 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://drunk-purple-wzaajy4nn5-k9uxmdaxng.edgeone.app/

Page Load Overview

2.18s
Total Load Time
13
HTTP Requests
3
Domains
96 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:1,441 chars
Detector Agreement:50%

Website Classification

Primary Category

entertainment media65% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
65%
e-commerce shopping
57%
technology software
36%
documentation technical
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5185.15.59.240United States
AS14907Wikimedia Foundation Inc.
443.152.26.58Singapore
AS139341ACE
43.161.83.166United States
AS16509Amazon.com, Inc.
133--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ED72C76259F821735293D0A176A3DF4F3591D103DB4A8EA47E9C22D0CFCDEA249BB64C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:aq9PXsgAG+k41rB2Gazv75B+wk5jcJPFnBPyDvbosBCj/+Ky6oOgKwrinUq21LKb:awN7qwk5UdBss+76zgI1FW2f+76Oxe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17371:4KAkDOgAcETCVc+KBlgKpAaISAaSEskIkgA0/SpACTEATAXQYjQKARucAEAWB1ALjIAEwMIHQsgBWAiYA8SIhKmmBQ0kVEgN

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:ff00787878300001
Perceptual Hash:c9cd3636c9c1c9b1
Difference Hash:f11dd3d3d3d1cd71
Wavelet Hash:ff19787879393101
Color Hash:#67783a

Other Hashes

Crop Resistant:c951454525c559c1,d2c0828282828282,d0c0008000000080,d2c0a0a0a0a0a0a0,273b4b4b5353594b,f31dd3d3d3d1cd71

Scan History

Scan history not available

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