Security Scan Report: immense-chocolate-dxfknwtdxl-yobgzak64q.edgeone.app

Submitted: Apr 6, 2026, 3:50:46 PMCompleted: Apr 6, 2026, 3:51:53 PMpubliccompleted
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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 immense-chocolate-dxfknwtdxl-yobgzak64q.edgeone.app and was registered NaN years ago.

Submitted URL: https://immense-chocolate-dxfknwtdxl-yobgzak64q.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 malicious activity detected; appears to be a simple file collection page.

Safety Factors
Hosted on standard hosting (edgeone.app)
No credential or payment fields present
No cross‑origin credential exfiltration observed
No network IDS alerts
No suspicious JavaScript behavior
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

documentation technical

(79%)

Domain Information

Domain 'immense-chocolate-dxfknwtdxl-yobgzak64q.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'immense-chocolate-dxfknwtdxl-yobgzak64q'. The registrable portion 'edgeone' spans 7 characters with four vowels and three consonants. Word splitting yields 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://immense-chocolate-dxfknwtdxl-yobgzak64q.edgeone.app/

Page Load Overview

0.45s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:548 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

documentation technical79% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
79%
cryptocurrency blockchain
52%
technology software
47%
news media journalism
40%
healthcare medical
31%

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

T156E20281DFF42FDCA41B85449BAD7B3B7A356013A49C419CB5AE0DB0AF84886E4FB075

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:shNIMi+rC0+kcggckQg08EAAEMAwwUkwad:wNIqrC0+kcggckQg08EAAEMAwwUkwad

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:31302:RBilXTKQABU4mxiqD0CiAQDjqAQAWQBgJAoMARojGAAUiIIcg4YkADFgxJEGIUDElHi3VgEG5YwwwovGLAEqUCYQXleERBUA

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:9c1c3c1c1c3c1c3c
Perceptual Hash:da753c282875c3e3
Difference Hash:3030703030717071
Wavelet Hash:dcbc3c3c3c3c1c1c
Color Hash:#62ac53

Other Hashes

Crop Resistant:3030703030717071

Scan History

Scan history not available

Unable to load historical scan data