Security Scan Report: toxic-chocolate-ygbmklxvkn-qtr55s3sv8.edgeone.app

Submitted: Jan 18, 2026, 5:35:25 AMCompleted: Jan 18, 2026, 5:36:32 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is toxic-chocolate-ygbmklxvkn-qtr55s3sv8.edgeone.app and was registered NaN years ago.

Submitted URL: https://toxic-chocolate-ygbmklxvkn-qtr55s3sv8.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; site appears legitimate.

Safety Factors
Well‑established domain (>2.5 years)
No credential or payment collection forms
No malicious Indicators of Compromise
Minimal risk category from hosting analysis
No phishing indicators detected
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(29% confidence)

Category

entertainment media

(68%)

Domain Information

The domain 'toxic-chocolate-ygbmklxvkn-qtr55s3sv8.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'toxic-chocolate-ygbmklxvkn-qtr55s3sv8'. The second-level label 'edgeone' is 7 characters long containing 4 vowels alongside three consonants. Segmentation suggests two 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://toxic-chocolate-ygbmklxvkn-qtr55s3sv8.edgeone.app/

Page Load Overview

0.37s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:29%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:29%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:731 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

entertainment media68% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
68%
documentation technical
66%
news media journalism
46%
healthcare medical
37%
technology software
37%

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

T12192B785EFE11BDCB01B80048BBD3B3A66196053E54E85CCB59E0E70DF49885F8B71B5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBRh8hohQhsh0hIhQh0hghIhshEh1Ra+:KrzhNK/lMHmGgdkqS2qau2yyeqKW+d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20389:BKViRECwA0awGCEWI0GBwDAiKECsEQUhENKFAQRJqBQkDIGYgESU8gATXJdIIMAJoxrcxGUUCAgyQQiCyAeM6DNAOAaGAMFh

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:9c9c3c3c3c3c3c3c
Perceptual Hash:dbec2c7c28316363
Difference Hash:3038585858585858
Wavelet Hash:dcfc3c3c3c1c1c1c
Color Hash:#7f2dd2

Other Hashes

Crop Resistant:3038585858585858

Scan History

Scan history not available

Unable to load historical scan data