Security Scan Report: increasing-blush-vj9spgbe4n-x12mjcbvfy.edgeone.app

Submitted: Mar 8, 2026, 1:32:31 AMCompleted: Mar 8, 2026, 1:34:06 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 increasing-blush-vj9spgbe4n-x12mjcbvfy.edgeone.app and was registered NaN years ago.

Submitted URL: https://increasing-blush-vj9spgbe4n-x12mjcbvfy.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: 92%

2
Risk Score

No suspicious activity detected; the site appears benign.

Safety Factors
Hosted on a known free hosting platform (edgeone.app)
No credential or payment collection mechanisms present
No suspicious JavaScript behavior or cross‑origin data exfiltration
Domain ranking is low but within the top 1 M, and no brand impersonation observed
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(69%)

Domain Information

You're looking at domain 'increasing-blush-vj9spgbe4n-x12mjcbvfy.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'increasing-blush-vj9spgbe4n-x12mjcbvfy'. Count 7 characters in 'edgeone' split between 4 vowels and 3 consonants. Word splitting yields 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://increasing-blush-vj9spgbe4n-x12mjcbvfy.edgeone.app/

Page Load Overview

8.14s
Total Load Time
2
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:846 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

technology software
69%
documentation technical
42%
adult content
32%

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

T12602C6CAEBA305C8A81BC4782FFF5724222DE057C848CD5DB99E1F548F4518875EA3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gB2h1RaXQl:KrzhNK/lMHmGgdkqbd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8688:ME1i1nBCJQMSfBVcBU2AlCAiWCCWDQQBMNAJCAADiDaQQIEIFMR0ywKACYeCANbQmTjc1UgmSGHahAhBoEIGCLoCOC7WBCEB

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:dcfcfcc0e0e0c0c0
Perceptual Hash:de9a9838686563c7
Difference Hash:3030600000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#a4bf40

Other Hashes

Crop Resistant:3030600000000000

Scan History

Scan history not available

Unable to load historical scan data