Security Scan Report: urban-aqua-d9j7j2bbmz-1wkxotgcbh.edgeone.app

Submitted: Mar 14, 2026, 8:39:59 PMCompleted: Mar 14, 2026, 8:41:07 PMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 12 HTTP transactions. The main domain is urban-aqua-d9j7j2bbmz-1wkxotgcbh.edgeone.app and was registered NaN years ago.

Submitted URL: https://urban-aqua-d9j7j2bbmz-1wkxotgcbh.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: 92%

0
Risk Score

No security concerns detected; the site appears to be a legitimate informational dashboard.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware detected
Uses standard, reputable CDN resources
Page content appears informational (election dashboard)
Domain age information unavailable

Details

Page Title

Democracy Dashboard: Elections in India

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(98%)

Domain Information

Domain 'urban-aqua-d9j7j2bbmz-1wkxotgcbh.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'urban-aqua-d9j7j2bbmz-1wkxotgcbh'. The core label 'edgeone' covers 7 characters split between four vowels and 3 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://urban-aqua-d9j7j2bbmz-1wkxotgcbh.edgeone.app/

Page Load Overview

0.71s
Total Load Time
11
HTTP Requests
5
Domains
338 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:3,791 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service98% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
98%
adult content
88%
blog personal website
61%
news media journalism
50%
phishing scam
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
2142.251.208.3United States
AS15169Google LLC
2142.250.186.42United States
AS15169Google LLC
2104.16.175.226SingaporeUnknown
2172.67.68.11SingaporeUnknown
115--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T131E2A63922F0107B6D8380F2F6945B59FA19A5C7DE1B936DB6ED42406FC3DA28C97248

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:qQmhL7PEIIQh/w/vxBvGotlC7FmlgG8LSUZp:qQmhncHrxCpZuo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:32891:EZDBLQNwM1WZlHYRSAAANEuPAgDhUmSWM6o4IlcGzEBIAoVoogAIBFIGUgAEhBiSaAZJJlED0KIAI0sE4HCqMizuMBABEEpW

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:fe808080bebebebe
Perceptual Hash:ff68809792e99496
Difference Hash:202707277c747464
Wavelet Hash:de808080bebebe9e
Color Hash:#6653ac

Scan History

Scan history not available

Unable to load historical scan data