Security Scan Report: stable-blush-9zankhuuvl-0m1j26rr1u.edgeone.app

Submitted: Feb 28, 2026, 12:57:38 AMCompleted: Feb 28, 2026, 12:58:46 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 stable-blush-9zankhuuvl-0m1j26rr1u.edgeone.app and was registered NaN years ago.

Submitted URL: https://stable-blush-9zankhuuvl-0m1j26rr1u.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: 92%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
No credential or payment forms present
No external malicious links or redirects
Hosted on a reputable hosting platform (edgeone.app)
Page title "Files Collection" does not suggest phishing or brand impersonation
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

healthcare medical

(65%)

Domain Information

The domain 'stable-blush-9zankhuuvl-0m1j26rr1u.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'stable-blush-9zankhuuvl-0m1j26rr1u'. Count 7 characters in 'edgeone' with 4 vowels and three consonants. Word splitting yields 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://stable-blush-9zankhuuvl-0m1j26rr1u.edgeone.app/

Page Load Overview

0.51s
Total Load Time
2
HTTP Requests
1
Domains
7 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:902 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

healthcare medical65% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
65%
news media journalism
61%
documentation technical
55%
adult content
54%
finance banking
53%

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

T1E9F23190EFF82BDCA42F8165876D7F3B6A25A013A48C0299769D0EB1EF44845F0BF574

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:shNIMi+MwjIjcj8jAjQjkj8jwjIjuj2j2jOjejmj2juj+jGjgjEjEjwjAjUjsjIh:wNIqMwjIjcj8jAjQjkj8jwjIjuj2j2jU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:35398:MDUCDgAQBQBQJkSAAFWolAsChCAAAQRhIABIABApgTCUoQE6IIYERBIxRZQAYJbEASAAQwImAGE6AA4gIAZSoA6ABAWmUAEX

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:9c1c1c1c1c1c1c1c
Perceptual Hash:da756c282879c3e3
Difference Hash:3030303031317171
Wavelet Hash:dcfcbc3c1c1c1c1c
Color Hash:#c5879e

Other Hashes

Crop Resistant:3030303031317171

Scan History

Scan history not available

Unable to load historical scan data