Security Scan Report: devoted-salmon-vbpefot2me-nu3vksfo5z.edgeone.app

Submitted: Feb 27, 2026, 1:04:59 AMCompleted: Feb 27, 2026, 1:06:29 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is devoted-salmon-vbpefot2me-nu3vksfo5z.edgeone.app and was registered NaN years ago.

Submitted URL: https://devoted-salmon-vbpefot2me-nu3vksfo5z.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: 95%

0
Risk Score

No suspicious activity detected; the site appears legitimate.

Safety Factors
No credential or payment collection fields
Hosted on a known platform (edgeone.app) without suspicious behavior
Standard minified JavaScript with no malicious patterns
No redirects or cross‑origin credential exfiltration
Domain age information unavailable

Details

Page Title

VibePlayer

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(80% confidence)

Category

entertainment media

(90%)

Domain Information

Domain 'devoted-salmon-vbpefot2me-nu3vksfo5z.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'devoted-salmon-vbpefot2me-nu3vksfo5z'. The second-level label 'edgeone' is 7 characters long split between four vowels and three consonants. It segments into 2 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://devoted-salmon-vbpefot2me-nu3vksfo5z.edgeone.app/

Page Load Overview

5.64s
Total Load Time
2
HTTP Requests
1
Domains
4 KB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
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:423 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media90% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
90%
documentation technical
66%
technology software
43%
adult content
28%

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

T19DD2B53232BB05367066C5AF2B67138A35147003BD07FC0CBD9E72A19FECA96557A5B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:vZgY5Fcocj21GULwnZK/jD3mweNKcT2RSzm5UW4UWWF74Z/5QFR+T:hgQ2xiVSMcTZm5UMFRY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:29063:2CKCRQAxQpyrwHqkAYQDAiFAOMDqMiLGaY4GEBSBQUywVhkJYUCASYCUeAMKQ4IhaJAIpkEgMYjFDIlBYoQoVsDUSEQCBUTC

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:0000181818180800
Perceptual Hash:99cc663366cc9927
Difference Hash:002832323232320c
Wavelet Hash:0c1818181818180c
Color Hash:#5382ac

Other Hashes

Crop Resistant:002832323232320c

Scan History

Scan history not available

Unable to load historical scan data