Security Scan Report: electoral-coffee-aiqcytwzee-qvcl5wf902.edgeone.app

Submitted: Apr 3, 2026, 8:14:22 PMCompleted: Apr 3, 2026, 8:15:31 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is electoral-coffee-aiqcytwzee-qvcl5wf902.edgeone.app and was registered NaN years ago.

Submitted URL: https://electoral-coffee-aiqcytwzee-qvcl5wf902.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 68%

7
Risk Score

New subdomain on a low‑ranked hosting platform; no malicious content but warrants caution.

Risk Factors
Subdomain on hosting platform with unknown creation date
Domain appears brand new (no age data)
Low Cisco Umbrella ranking (455,732)
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(36% confidence)

Category

entertainment media

(85%)

Domain Information

The domain 'electoral-coffee-aiqcytwzee-qvcl5wf902.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'electoral-coffee-aiqcytwzee-qvcl5wf902'. The second-level label 'edgeone' is 7 characters long containing four vowels alongside 3 consonants. Breaking it apart gives 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://electoral-coffee-aiqcytwzee-qvcl5wf902.edgeone.app/

Page Load Overview

0.37s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:36%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:36%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:68 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

entertainment media85% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
85%
corporate business
58%
news media journalism
43%
government public service
40%
adult content
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

T14202C6CAEBA306C9681BC0782FFB5724222DE057C449CD5DB99E5F548F0518475EB3B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gB4yh1RaXQl:KrzhNK/lMHmGgdkqsd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8732:JgVC13IGBVMQNBUeB0+AxAAiSACEDQQAsFANCAAqiDLQSJtoAMR0w3KgCYcHINaAgTieVYBmSEzaBChBCQImCCoCPCaWAIUB

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:dcfcfce0e0e0c0c0
Perceptual Hash:d89a983c6c6567c3
Difference Hash:3030100000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#532d86

Other Hashes

Crop Resistant:3030100000000000

Scan History

Scan history not available

Unable to load historical scan data