Security Scan Report: separate-green-nj9vwolax0-9vn3p7qb3f.edgeone.app

Submitted: Feb 20, 2026, 8:31:32 PMCompleted: Feb 20, 2026, 8:32:42 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 separate-green-nj9vwolax0-9vn3p7qb3f.edgeone.app and was registered NaN years ago.

Submitted URL: https://separate-green-nj9vwolax0-9vn3p7qb3f.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%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well-established domain age
Low ranking does not indicate maliciousness alone
No external domains or redirects
No cross-origin credential exfiltration
No JavaScript obfuscation indicative of malware
Domain age information unavailable

Details

Page Title

separate-green-nj9vwolax0-9vn3p7qb3f.edgeone.app

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

unknown

(0%)

Domain Information

The domain 'separate-green-nj9vwolax0-9vn3p7qb3f.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'separate-green-nj9vwolax0-9vn3p7qb3f'. Count 7 characters in 'edgeone' containing four vowels alongside three consonants. Breaking it apart gives 2 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://separate-green-nj9vwolax0-9vn3p7qb3f.edgeone.app/

Page Load Overview

0.53s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:48 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

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

T191048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:k8fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszyrb2bMy8Old8Zt:qhoC9JSqzzbs6o3Sj3gcrsQ2eAE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184631:4xDiARTcBQ6BKfAcJCSFYSIxYAACmQNJMESdqSYyMJQIUZRoYDgQwC0BG7BZwcdEEmAcgQSkEYahhAUouA98AlPgPChACuJk

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:ffdfc3c700000000
Color Hash:#79d2bc

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data