Security Scan Report: delightful-orange-063vd1u7-dpaen77g9r7j.edgeone.app

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Submitted: Jun 29, 2026, 5:44:48 PMCompleted: Jun 29, 2026, 5:46:15 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is delightful-orange-063vd1u7-dpaen77g9r7j.edgeone.app and was registered NaN years ago.

Submitted URL: https://delightful-orange-063vd1u7-dpaen77g9r7j.edgeone.app/

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

The site shows no malicious indicators and lacks credential collection; classified as low risk.

Risk Factors
Domain is unranked in Cisco Umbrella (not in top 1 M)
Subdomain on a hosting platform with unknown creation date
Safety Factors
Absence of credential or payment collection forms
No malicious external links or resources
No suspicious JavaScript behavior or obfuscation
Domain age information unavailable

Details

Page Title

Mayankk08AI Hub - Dark Edge Edition

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(63%)

Domain Information

The domain 'delightful-orange-063vd1u7-dpaen77g9r7j.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'delightful-orange-063vd1u7-dpaen77g9r7j'. The registrable portion 'edgeone' spans 7 characters split between four vowels and three consonants. It segments into 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://delightful-orange-063vd1u7-dpaen77g9r7j.edgeone.app/

Page Load Overview

0.91s
Total Load Time
2
HTTP Requests
1
Domains
8 KB
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:1,855 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical63% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
63%
finance banking
49%
education learning
49%
adult content
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2101.33.10.10Frankfurt am Main, Hesse, Germany
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18492ECA192F215B6219390D426F29B0B7EA0D703CA4BC6643ADD5BE48FC7DD2DD6321C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:FnUa2BFPnjFyxiwVJvrlgq2FAnkTi/voL8AZ1RJoTyKsWM6YMZt8W8+E1JB1BPTT:lEF7FIDNsUY0t8W8+ub1BPTeP/Q

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20085:yBJNgoqAEwugAEAKwHiyRxigScEFhiNtFBThBKgHAAiqMCzAkCSLCAUUTUAhk4YdyQokLx5RkZAEiwQUmSAU4IGCgAAR5JMg

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:1919191919191919
Perceptual Hash:8875758c8a8c7773
Difference Hash:3131313131313131
Wavelet Hash:1919393939393939
Color Hash:#79d27c

Other Hashes

Crop Resistant:3131313131313131

Scan History

Scan history not available

Unable to load historical scan data