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Security Scan Report: new-lime-fvovwhsrsy-b1y6w1z55r.edgeone.app

Submitted: Mar 9, 2026, 4:27:44 AMCompleted: Mar 9, 2026, 4:29:20 AMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 4 domains to perform 7 HTTP transactions. The main domain is new-lime-fvovwhsrsy-b1y6w1z55r.edgeone.app and was registered NaN years ago.

Submitted URL: https://new-lime-fvovwhsrsy-b1y6w1z55r.edgeone.app/

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

AI Security Verdict

Moderate Risk

Confidence: 80%

4
Risk Score

New edgeone.app subdomain with no malicious signs; moderate risk due to unknown age.

Risk Factors
New subdomain on a free hosting platform (moderate suspicion)
Domain age unknown / appears brand‑new
Safety Factors
No malicious Indicators of Compromise detected
No JavaScript malware patterns
No network IDS alerts
No credential‑harvesting or payment forms
Domain age information unavailable

Details

Page Title

TUNNEL RUSH

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(70%)

Domain Information

The domain name 'new-lime-fvovwhsrsy-b1y6w1z55r.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'new-lime-fvovwhsrsy-b1y6w1z55r'. Its registrable label 'edgeone' stretches across 7 characters containing 4 vowels alongside three consonants. Splitting it apart reveals two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://new-lime-fvovwhsrsy-b1y6w1z55r.edgeone.app/

Page Load Overview

8.15s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:822 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software70% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
70%
documentation technical
42%
adult content
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1104.17.25.14Singapore
AS139341
0142.251.140.170Singapore
AS139341
0142.251.127.94Singapore
AS139341
043.152.26.58Singapore
AS139341
14--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13192A771457F02697003E69D6E63460AA928F0177907DD987DAC71808FFE46882BF9FE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:sfOv6iWBeaDk4sGLXvGjWMfInYnkZMfInYnkqMfInYnkxgM/InYnk4iYN/aQAzBQ:sfOyPBeaDk7jzdiYN/V0Q

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20776:wCjSDRCeDFwh0wAEFNEAIsCgRkMGIIAIDACWxBqACFaEOIJrMBkhIVSABCBYSWwAAEqnCkUMAIHQhhkALAm6QqIADCgjAUwY

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:00003c3c18000000
Perceptual Hash:ccce3331ccce6331
Difference Hash:2044606110000000
Wavelet Hash:3c3c3c3c3c000018
Color Hash:#6fd22d

Other Hashes

Crop Resistant:2044606110000000

Scan History

Scan history not available

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