Security Scan Report: delighted-black-3ij4goc4ml-qf3ht0ewgh.edgeone.app

Submitted: Nov 23, 2025, 10:58:01 AMCompleted: Nov 23, 2025, 10:58:55 AMpubliccompleted
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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 delighted-black-3ij4goc4ml-qf3ht0ewgh.edgeone.app.

Submitted URL: https://delighted-black-3ij4goc4ml-qf3ht0ewgh.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: 70%

2
Risk Score

Site shows no malicious activity but low ranking and unknown age suggest caution

Safety Factors
No credential or payment forms detected
No malicious Indicators of Compromise matches found
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(43% confidence)

Category

adult content

(80%)

Domain Information

You're looking at domain 'delighted-black-3ij4goc4ml-qf3ht0ewgh.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'delighted-black-3ij4goc4ml-qf3ht0ewgh'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and three consonants. Tokenizing the label suggests 2 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://delighted-black-3ij4goc4ml-qf3ht0ewgh.edgeone.app/

Page Load Overview

0.10s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:43%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:43%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:110 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

adult content80% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
80%
entertainment media
58%
news media journalism
49%
education learning
46%
government public service
39%

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

T17102D6CAEBA306C9A81BC4782FFB5715222DE053C448CD5DB99E5F148F0128875EB3B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:GrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gB49vuEh1RaXQl:GrzhNK/lMHmGgdkqfd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8896:gpWGGIRwTCIXkvIhBQAQA6BhIIXDAD7kgFYFFBI6ElFF7ADocgASQkAkiVYAg1HCBBDAQSDNGwSqLSEIYIhUKiRlQQIAIAyk

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data