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Security Scan Report: elderly-apricot-zn32xewuez-70sfxu2qg9.edgeone.app

Submitted: Mar 20, 2026, 2:32:02 PMCompleted: Mar 20, 2026, 2:33:10 PMpubliccompleted
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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 elderly-apricot-zn32xewuez-70sfxu2qg9.edgeone.app and was registered NaN years ago.

Submitted URL: https://elderly-apricot-zn32xewuez-70sfxu2qg9.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 malicious activity detected; the site appears legitimate.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware detected
No brand impersonation or phishing language
Standard hosting platform subdomain without suspicious behavior
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇪🇸

Spanish

(53% confidence)

Category

documentation technical

(57%)

Domain Information

You're looking at domain 'elderly-apricot-zn32xewuez-70sfxu2qg9.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'elderly-apricot-zn32xewuez-70sfxu2qg9'. Its registrable label 'edgeone' stretches across 7 characters with four vowels and three consonants. Segmentation suggests 2 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://elderly-apricot-zn32xewuez-70sfxu2qg9.edgeone.app/

Page Load Overview

0.35s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:53%
Script:Latin
Direction:ltr

Detection Details

Language Code:es
Detection Confidence:53%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:108 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as es

Website Classification

Primary Category

documentation technical57% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
57%
healthcare medical
50%
government public service
49%
finance banking
43%
news media journalism
40%

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

T1D812C7C9EBE706C8681BC4686FFF6725222DE053D449C95DB99E0F548F05188B0FB2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gB7vhs2Bh1RaXQl:KrzhNK/lMHmGgdkqkHBd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9694:cC0D1nAAJSsQNBUUAU2AhIIiKQaEDQQAMFALASgLyDAwAIEIjMQ0wxGBLZcCAMaAoXicdQA+zOFaBghhAEJWCCqKOC6OAAEF

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:dcfcfcf0e0e0c0c0
Perceptual Hash:da9a986c6c65c3c3
Difference Hash:3030780000000000
Wavelet Hash:dcfcfce0f0e0e0c0
Color Hash:#61783a

Other Hashes

Crop Resistant:3030780000000000

Scan History

Scan history not available

Unable to load historical scan data