Security Scan Report: mid-chocolate-jw1subyxem-w97t88qwy7.edgeone.app

Submitted: Mar 26, 2026, 10:16:34 PMCompleted: Mar 26, 2026, 10:17:45 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 mid-chocolate-jw1subyxem-w97t88qwy7.edgeone.app and was registered NaN years ago.

Submitted URL: https://mid-chocolate-jw1subyxem-w97t88qwy7.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: 85%

2
Risk Score

No malicious activity detected; low risk due to new subdomain on edgeone.app.

Safety Factors
No password, email, or payment fields present
No JavaScript malware patterns detected
No cross‑origin credential exfiltration observed
Hosted on a known platform (edgeone.app) without suspicious scripts
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(29%)

Domain Information

The domain name 'mid-chocolate-jw1subyxem-w97t88qwy7.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'mid-chocolate-jw1subyxem-w97t88qwy7'. The second-level label 'edgeone' is 7 characters long containing four vowels alongside 3 consonants. Splitting it apart reveals 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://mid-chocolate-jw1subyxem-w97t88qwy7.edgeone.app/

Page Load Overview

0.36s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:103 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical29% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
29%

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

T11C12C6C9EBE706C9A81BC4682FFF57252229E053C449C95DB99E0F648F0518874FB2B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBwh8yhh1RaXQl:KrzhNK/lMHmGgdkq/Xd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9670:IAUC33AyhQMwtB0UBU2AhAAjnAGEDQQwNFgJAAEDiLBeAKMYAMQ905GATYcCIMaAgTicVQAmTEBaBApBYAImSCoTOC6eAAEB

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:dcfcfcf0e0e0c0c0
Perceptual Hash:da9a986c6c65c3c3
Difference Hash:3030700000000000
Wavelet Hash:dcfcfce0f0e0e0c0
Color Hash:#c5ac87

Other Hashes

Crop Resistant:3030700000000000

Scan History

Scan history not available

Unable to load historical scan data