Security Scan Report: appalling-pink-gburstfvgy-vg2yb3algd.edgeone.app

Submitted: Mar 4, 2026, 8:21:19 AMCompleted: Mar 4, 2026, 8:22:31 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 appalling-pink-gburstfvgy-vg2yb3algd.edgeone.app and was registered NaN years ago.

Submitted URL: https://appalling-pink-gburstfvgy-vg2yb3algd.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

Files Collection

Scan Type

public

Language

🇺🇸

English

(59% confidence)

Category

documentation technical

(90%)

Domain Information

Domain 'appalling-pink-gburstfvgy-vg2yb3algd.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'appalling-pink-gburstfvgy-vg2yb3algd'. Count 7 characters in 'edgeone' holding four vowels versus 3 consonants. Breaking it apart gives two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://appalling-pink-gburstfvgy-vg2yb3algd.edgeone.app/

Page Load Overview

0.64s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:59%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:59%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:315 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical90% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
90%
adult content
89%
technology software
79%
education learning
78%
entertainment media
76%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EDA29581EFF41BDCA01F85545BBE7B3A3629A143E84C858CB59E0EB0AF45585F0BB1B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gB0hrhfhShvhahWhPhBhohUh4hkhch22:KrzhNK/lMHmGgdkqLBdstsIl/yOKW+rd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21315:cCWBQWQAIwdkIBCXQUWggAE02AyMjQQhUBAHEQgNgnyUBIE5ipQ0yRDANYcAoUIkGlAd1Si2CORagg/ICEYOzAAAPqOGAFED

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:9c1c3c3c3c3c3c3c
Perceptual Hash:de3c283c3828c7e7
Difference Hash:3030703070707071
Wavelet Hash:9c3c3c3c3c3c3c3c
Color Hash:#6c8de0

Other Hashes

Crop Resistant:3030703070707071

Scan History

Scan history not available

Unable to load historical scan data