Security Scan Report: vocal-white-bbqvlhpc4s-ddwlgblrbm.edgeone.app

Submitted: Nov 20, 2025, 11:02:45 PMCompleted: Nov 20, 2025, 11:06:07 PMpubliccompleted
Loading additional data...

Summary

This website contacted 12 IPs in 2 countries across 3 domains to perform 29 HTTP transactions. The main domain is vocal-white-bbqvlhpc4s-ddwlgblrbm.edgeone.app.

Submitted URL: https://vocal-white-bbqvlhpc4s-ddwlgblrbm.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: 78%

2
Risk Score

Site shows low risk indicators but lacks established reputation; proceed cautiously.

Risk Factors
Low ranking domain (ranked outside top 100k)
Domain age not established (no registration data)
Safety Factors
No forms or credential collection fields detected
No malicious Indicators of Compromise matches found
No brand impersonation or trademark misuse observed
Domain age information unavailable

Details

Page Title

Enugu Smart Bus System Dashboard

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(85%)

Domain Information

The domain 'vocal-white-bbqvlhpc4s-ddwlgblrbm.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'vocal-white-bbqvlhpc4s-ddwlgblrbm'. Count 7 characters in 'edgeone' with four vowels and three consonants. Tokenizing the label suggests two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vocal-white-bbqvlhpc4s-ddwlgblrbm.edgeone.app/

Page Load Overview

0.37s
Total Load Time
29
HTTP Requests
3
Domains
125 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:664 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software85% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
85%
documentation technical
43%
government public service
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2543.152.26.58Singapore
2151.101.129.229San Francisco, California, United States
AS54113FASTLY
2104.26.3.143United States
AS13335CLOUDFLARENET
2104.16.174.226United States
AS13335CLOUDFLARENET
2172.67.68.11United States
AS13335CLOUDFLARENET
2104.16.175.226United States
AS13335CLOUDFLARENET
22606:4700:20::681a:38fUnited States
AS13335CLOUDFLARENET
22606:4700::6810:aee2United States
AS13335CLOUDFLARENET
22606:4700:20::681a:28fUnited States
AS13335CLOUDFLARENET
22606:4700::6810:afe2United States
AS13335CLOUDFLARENET
2912--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10BC2A61412F1017F5963C0D2EAA13B287D5451C3CE2AAA1CB6AD16117FCBE5E8CE73A8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:Nryu/hL7JrVaKWXfhrHi4Cr27tTYrtbttrtfGFqRt:Nryu/hnD2p7i8REhRtrtfGFCt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:27481:LhNNByEQAZFYMhFiQAgQAAlYropNAZiCOAUI8rkTwFEYHFRIoAACnjA780AHC6hga8YgEgASaFUinwJCIAIgoWUgTAQQJAAS

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:1e0ee01e7f7fffff
Perceptual Hash:84000080fefefffe
Difference Hash:f0fa5434a4c4430c
Wavelet Hash:1e00000c767effbf
Color Hash:#6ce077

Other Hashes

Crop Resistant:f0fa5434a4c4430c

Scan History

Scan history not available

Unable to load historical scan data