Security Scan Report: wrong-black-tpp9m6hlsq-vdfypgthjq.edgeone.app

Submitted: May 1, 2026, 5:04:55 AMCompleted: May 1, 2026, 5:06:06 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is wrong-black-tpp9m6hlsq-vdfypgthjq.edgeone.app and was registered NaN years ago.

Submitted URL: https://wrong-black-tpp9m6hlsq-vdfypgthjq.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: 75%

2
Risk Score

Low risk site; no malicious activity detected, but subdomain age is unknown.

Risk Factors
Low domain ranking
Subdomain on hosting platform with unknown age
Safety Factors
No forms or credential fields
No malicious Indicators of Compromise
No JavaScript malware YARA matches
No network IDS alerts
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

entertainment media

(60%)

Domain Information

The domain name 'wrong-black-tpp9m6hlsq-vdfypgthjq.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'wrong-black-tpp9m6hlsq-vdfypgthjq'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and three 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://wrong-black-tpp9m6hlsq-vdfypgthjq.edgeone.app/

Page Load Overview

0.35s
Total Load Time
2
HTTP Requests
1
Domains
7 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:108 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

entertainment media60% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
60%
documentation technical
54%
news media journalism
48%
healthcare medical
47%
government public service
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

T17E02C6CAEBA306C9681BC0682FFF5324222DE057D448CD5DB99F1F548F0518475EB2B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBth1RaXQl:KrzhNK/lMHmGgdkqGd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8807:KS0S1nBKRQMQNlUcA82AhABiSEGEDQQAMFApACALiDaRCIEYiMR0wwKAiYcGINaSgTi8VQCmSFJapAhBkAIGCG6COCaegYED

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:dcfcfcd0e0e0c0c0
Perceptual Hash:da9a98986c6d61e3
Difference Hash:3038480000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#783a3c

Other Hashes

Crop Resistant:3038480000000000

Scan History

Scan history not available

Unable to load historical scan data