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Security Scan Report: convincing-blush-eaetbrcxjf-63w1mgk29s.edgeone.app

Submitted: Apr 26, 2026, 2:35:10 PMCompleted: Apr 26, 2026, 2:36:19 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is convincing-blush-eaetbrcxjf-63w1mgk29s.edgeone.app and was registered NaN years ago.

Submitted URL: https://convincing-blush-eaetbrcxjf-63w1mgk29s.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 75%

2
Risk Score

Low‑risk site with no malicious activity detected; likely safe but subdomain age is unknown.

Risk Factors
Low domain ranking (outside top 100 K)
Subdomain age unknown – could be newly created
Safety Factors
No credential or payment forms
No malicious Indicators of Compromise
No JavaScript malware or suspicious network alerts
Content appears to be a simple file collection page
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

social media network

(72%)

Domain Information

You're looking at domain 'convincing-blush-eaetbrcxjf-63w1mgk29s.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'convincing-blush-eaetbrcxjf-63w1mgk29s'. Count 7 characters in 'edgeone' containing four vowels alongside 3 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://convincing-blush-eaetbrcxjf-63w1mgk29s.edgeone.app/

Page Load Overview

0.92s
Total Load Time
2
HTTP Requests
1
Domains
8 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:737 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

social media network72% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
72%
documentation technical
67%
technology software
57%
news media journalism
52%
cryptocurrency blockchain
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

T172133380EFF42FDCA41F81446B7D7B3E6A656003A44C529CB1AE0EB1AF48949F4BB475

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:shNIMi+xbMTytHsr0jUL0sjczkbUjMLdFl+X51cFliH19IF2d:wNIqxbMTytHsr0jUL0sjczkbUjMLdFlI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:44833:QEEwiOEyCJA0CgiXLNaIbJOCaUMLQBZDoBBMATAqKHMKYYOYM8gQoDKkUYfiJQSIARsEWAgItIACQJDD7RA6zSQQLhWsBdAv

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:1c1c3c3c3c3c3c3c
Perceptual Hash:de7c783828a8c3c7
Difference Hash:3030607171616061
Wavelet Hash:9c3c3c3c3c3c3c3c
Color Hash:#61783a

Other Hashes

Crop Resistant:3030607171616061

Scan History

Scan history not available

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