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Security Scan Report: skyvless-el27wpq39j.edgeone.app

Submitted: Nov 19, 2025, 3:22:32 AMCompleted: Nov 19, 2025, 3:24:25 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is skyvless-el27wpq39j.edgeone.app.

Submitted URL: https://skyvless-el27wpq39j.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: 85%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
No malicious Indicators of Compromise matches found
No forms or credential collection fields detected
No phishing indicators detected
Domain is UNRANKED but lacks any suspicious activity
Domain age information unavailable

Details

Page Title

逐梦逸风 - s' Blog

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(77%)

Domain Information

Within the application-focused generic top-level domain (.app), 'skyvless-el27wpq39j.edgeone.app' is registered, featuring subdomain 'skyvless-el27wpq39j'. Count 7 characters in 'edgeone' split between four vowels and three consonants. It segments into two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://skyvless-el27wpq39j.edgeone.app/

Page Load Overview

30.13s
Total Load Time
3
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:789 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software77% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
77%
documentation technical
51%
adult content
41%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T197A3F9306221873F11478276A3A4EF5D516DE34EDB538AC9737E45AB27C2EF08A4427E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:KBcOWvvclhcykGYXR1oXDorxD3MPPWdmvZQ53E8Q1I:3Oz5s1r

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:106217:U0dEFAIDIgISVNOAEpJ0DkCOgGCUiQIVKgAiASBCD2HSIJg6qUgAGKPBqGgJ5uACKw2SBSCEAfbOgCgAFFwgJuyeACWIaRzA

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:ff9999f9f9f9f9f9
Perceptual Hash:c9b69696c24b96c5
Difference Hash:bb3b3bf3d3d3f3f3
Wavelet Hash:fc8898f878787878
Color Hash:#9479d2

Scan History

Scan history not available

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