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Security Scan Report: passive-gold-14ggotjmwi-tur0ypoc8v.edgeone.app

Submitted: Mar 21, 2026, 11:32:36 AMCompleted: Mar 21, 2026, 11:33:52 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is passive-gold-14ggotjmwi-tur0ypoc8v.edgeone.app and was registered NaN years ago.

Submitted URL: https://passive-gold-14ggotjmwi-tur0ypoc8v.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: 70%

5
Risk Score

New free‑hosting subdomain offering software keys; no malware but moderate suspicion due to age and low ranking.

Risk Factors
New subdomain on a free hosting platform with unknown age
Low domain ranking (outside top 100k)
Content appears to offer illicit software keys
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise matches
JavaScript obfuscation low; no malware patterns detected
Domain age information unavailable

Details

Page Title

TOOL-NOVELAH_by KING

Scan Type

public

Language

🇻🇳

VI

(80% confidence)

Category

social media network

(71%)

Domain Information

Domain 'passive-gold-14ggotjmwi-tur0ypoc8v.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'passive-gold-14ggotjmwi-tur0ypoc8v'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and 3 consonants. Tokenizing the label suggests two 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://passive-gold-14ggotjmwi-tur0ypoc8v.edgeone.app/

Page Load Overview

0.34s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇻🇳Vietnamese
Code: vi
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:vi
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:vi
Text Length:424 chars
Detector Agreement:67%

Website Classification

Primary Category

social media network71% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
71%
technology software
44%
finance banking
42%

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

T118129596ADF2242294ABC1B177778716FE50D803D50BCC443FAC25A09F969D1E8AF78C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:/rbafUhbMeTL7Tx6c143cxwviGN7JFuvXGyPuBarsuTshzgWjAvAnCDu6JI7hwxh:/rjsP0gxCDu6b

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9357:IiCqAKCMEUooEDMBREHReqjQJQVBoUHIxgI61FEAICiABq1QgRHEQMSCBBCzQvJAifBhABEgoBQARAFAHQMQGQEGQpjCgrVA

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:3c5a181818000000
Perceptual Hash:cccc9a9a8ecec698
Difference Hash:7096965410081000
Wavelet Hash:ff183838ff00fe00
Color Hash:#2d5686

Other Hashes

Crop Resistant:7096965410081000

Scan History

Scan history not available

Unable to load historical scan data