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Security Scan Report: fair-lime-rkujhzlibk-iwiskb92ca.edgeone.app

Submitted: Apr 21, 2026, 10:33:48 AMCompleted: Apr 21, 2026, 10:34:58 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 fair-lime-rkujhzlibk-iwiskb92ca.edgeone.app and was registered NaN years ago.

Submitted URL: https://fair-lime-rkujhzlibk-iwiskb92ca.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

The site shows low risk: unknown subdomain age and low ranking but lacks forms, malicious code, or brand impersonation.

Risk Factors
Unknown subdomain age
Low domain ranking
Hosted on a generic developer subdomain platform
Safety Factors
No login or payment forms
No brand impersonation claims
No malicious JavaScript patterns
No credential exfiltration observed
No external malicious links
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(68%)

Domain Information

Within the application-focused generic top-level domain (.app), 'fair-lime-rkujhzlibk-iwiskb92ca.edgeone.app' is registered, featuring subdomain 'fair-lime-rkujhzlibk-iwiskb92ca'. The second-level label 'edgeone' is 7 characters long holding 4 vowels versus 3 consonants. Tokenizing the label 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://fair-lime-rkujhzlibk-iwiskb92ca.edgeone.app/

Page Load Overview

0.97s
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:203 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical68% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
68%
technology software
36%
cryptocurrency blockchain
32%
news media journalism
28%

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

T10A82A484EFE51FDCB41B81585BAE6B3A2638A003E44D859CB9AE0F709F45885F4FB174

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBUhxhBhThFhvhAh5hzh5hVXh1RaXQl:KrzhNK/lMHmGgdkq9TDN3JuLFLXd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17618:ZiWyhVUQALIilBmVACODBIECSAEEBQRBE9CDABQKDBeHwYEYACREwCDISa8CRFaKATHUFUU2RMRa4AsbIABkaS4XOmXEBgEC

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:9c1c3c3c3c3c3c3c
Perceptual Hash:dab86498699e61c7
Difference Hash:3030707070706060
Wavelet Hash:9cbc3c3c3c3c3c1c
Color Hash:#87c5be

Other Hashes

Crop Resistant:3030707070706060

Scan History

Scan history not available

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