Security Scan Report: characteristic-green-ypxvz8iesi-oxf782orlv.edgeone.app

Submitted: Feb 28, 2026, 7:53:59 AMCompleted: Feb 28, 2026, 7:55:07 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 characteristic-green-ypxvz8iesi-oxf782orlv.edgeone.app and was registered NaN years ago.

Submitted URL: https://characteristic-green-ypxvz8iesi-oxf782orlv.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: 88%

1
Risk Score

No malicious activity detected; the site appears benign.

Safety Factors
Hosted on a known development platform (edgeone.app) with no suspicious scripts
Absence of login, payment, or hidden credential fields
No external domains or redirects
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(43% confidence)

Category

cryptocurrency blockchain

(49%)

Domain Information

The domain name 'characteristic-green-ypxvz8iesi-oxf782orlv.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'characteristic-green-ypxvz8iesi-oxf782orlv'. The core label 'edgeone' covers 7 characters with 4 vowels and three consonants. Splitting it apart reveals 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://characteristic-green-ypxvz8iesi-oxf782orlv.edgeone.app/

Page Load Overview

0.81s
Total Load Time
2
HTTP Requests
1
Domains
4 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:43%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:43%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:3,384 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

cryptocurrency blockchain49% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
49%
news media journalism
46%
social media network
46%
adult content
45%
documentation technical
41%

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

T1426321A48FF82BDCA15A85449BBC7F3F5A246103A84E059CB0DE0DB0AF44D46F8E756D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:wNIqFEVrHtskQkvqc1G7Py/yNJeYculZFdgcRDb14M8cTn4iKk7Pr7ubTep4GrSN:wSqexNXPSoUKqPX3PbL9pDLDXfbXOCKx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:67142:MBEQW4W0IYBAEACKZAUqiEAA4xAqRABgHBAKUBJpTPWGIQC85qQhQGBwRyXGYgAkiDZyAJMgBmUiIKYKbUMQgSQAFiEIVFuJ

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:9c9c0c0c1c1c1c1c
Perceptual Hash:da7c6c2c4c2ae363
Difference Hash:3038191919591959
Wavelet Hash:dcdcdcfc1c1c1c0c
Color Hash:#c5879e

Other Hashes

Crop Resistant:3038191919591959

Scan History

Scan history not available

Unable to load historical scan data