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Security Scan Report: mockevm-uhvpwytg7i.edgeone.app

Submitted: Nov 18, 2025, 6:54:08 PMCompleted: Nov 18, 2025, 6:56:00 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is mockevm-uhvpwytg7i.edgeone.app.

Submitted URL: https://mockevm-uhvpwytg7i.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 82%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
No malicious Indicators of Compromise matches found
No forms or credential collection fields detected
Domain not flagged in any threat intelligence databases
Domain age information unavailable

Details

Page Title

इलेक्ट्रॉनिक वोटिंग मशीन (EVM)

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(75%)

Domain Information

The domain 'mockevm-uhvpwytg7i.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'mockevm-uhvpwytg7i'. The core label 'edgeone' covers 7 characters with four vowels and three consonants. Segmentation suggests 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://mockevm-uhvpwytg7i.edgeone.app/

Page Load Overview

30.14s
Total Load Time
3
HTTP Requests
1
Domains
N/A
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:786 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software75% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
75%
documentation technical
49%
adult content
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
AS139341ACE
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T115F2329DABF327655A8B747937664736667090239BCACA183ACC73C04FC4DE06C6A385

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:4MRFAFnFqFOFvF3FWFrF/FugF5lTrZ/DMYxi7/YO:Vi1I8NBshp0gFTrZ/DMYs7/v

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:34911:iArFNiAADctMHBnmqRGQUgICIIpsqASUnzDGxR0UgQpwqJHMiAgSgqCFJSAGUEBYBVFkYQJmIBEEimRAABiAwXgRzFIxMqEG

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

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