Security Scan Report: arrogant-green-sftjjc1aho-xitk2ouruo.edgeone.app

Submitted: Mar 28, 2026, 11:11:23 AMCompleted: Mar 28, 2026, 11:12:30 AMpubliccompleted
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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 arrogant-green-sftjjc1aho-xitk2ouruo.edgeone.app and was registered NaN years ago.

Submitted URL: https://arrogant-green-sftjjc1aho-xitk2ouruo.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 forms detected
No malicious Indicators of Compromise matches
No JavaScript malware patterns
Low JavaScript obfuscation score
Standard hosting platform without known malicious activity
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(36% confidence)

Category

healthcare medical

(29%)

Domain Information

Domain 'arrogant-green-sftjjc1aho-xitk2ouruo.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'arrogant-green-sftjjc1aho-xitk2ouruo'. Its registrable label 'edgeone' stretches across 7 characters containing 4 vowels alongside 3 consonants. Breaking it apart gives two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://arrogant-green-sftjjc1aho-xitk2ouruo.edgeone.app/

Page Load Overview

0.39s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:36%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:36%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:85 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

healthcare medical29% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
29%

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

T1CB12F8C9EBE306C8A81BC4682FFF5725222DE053D449C94DB99E0F648F4518875FB2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gB7hKh1RaXQl:KrzhNK/lMHmGgdkqiwd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9628:IhVC13IGBVNQNBUWA0eAxAAiCACETQRAsFAtAAAqiTJwSJtIAMQ0w1CgCYcHYcaAgTieV4ImSEX6BCxBCQImqCoCPCaGAIUB

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:3030700000000000
Wavelet Hash:dcfcfce0f0e0e0c0
Color Hash:#6cbde0

Other Hashes

Crop Resistant:3030700000000000

Scan History

Scan history not available

Unable to load historical scan data