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Security Scan Report: slim-violet-58j4mgyz5m-j0r0yo42et.edgeone.app

Submitted: Mar 11, 2026, 7:45:13 PMCompleted: Mar 11, 2026, 7:46:50 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 6 HTTP transactions. The main domain is slim-violet-58j4mgyz5m-j0r0yo42et.edgeone.app and was registered NaN years ago.

Submitted URL: https://slim-violet-58j4mgyz5m-j0r0yo42et.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: 75%

3
Risk Score

No clear malicious activity; subdomain is new on a hosting platform, but no threats detected.

Risk Factors
Subdomain on a free hosting platform with unknown age (moderate suspicion)
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware or suspicious behavior detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

Button Pro Video Downloader

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(66%)

Domain Information

The domain name 'slim-violet-58j4mgyz5m-j0r0yo42et.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'slim-violet-58j4mgyz5m-j0r0yo42et'. Its registrable label 'edgeone' stretches across 7 characters with four vowels and 3 consonants. Breaking it apart gives 2 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://slim-violet-58j4mgyz5m-j0r0yo42et.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:831 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software66% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
66%
documentation technical
37%
adult content
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1104.17.24.14Singapore
AS139341
043.152.26.58Singapore
AS139341ACE
0104.18.1.22Singapore
AS139341
13--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A562875669FB00B164A3E5AA37EB431A3561DC07CA02C6287E5D53C04F8ADB8DCA7798

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:F9nHfN6blFY08r/PYTSXmXWwuJQHWqlm6bQnhLGIifHo4PTJNGkeLfURk3yyMj:F9HgblFy2j2SmB1fifNTJWdyt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15540:QSghHSEEWyoKQKEwA8IKSMRUaE9xGoCpKIFUDcoMBiMJKChQCQtO+gAWHIiVGYSioFEiEiADQYHURjoCCFYUjIISYQaUBZCI

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:d8ffff0000000000
Perceptual Hash:959ddd7a4a498585
Difference Hash:102afe0000000080
Wavelet Hash:ffffff00000000ff
Color Hash:#862d40

Other Hashes

Crop Resistant:ffffffbfbfffffff,102afe0000000080

Scan History

Scan history not available

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