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Security Scan Report: technical-green-lxztc8b4ri-71h0tn9r2e.edgeone.app

Submitted: Mar 2, 2026, 2:49:16 PMCompleted: Mar 2, 2026, 2:50:48 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 1 HTTP transaction. The main domain is technical-green-lxztc8b4ri-71h0tn9r2e.edgeone.app and was registered NaN years ago.

Submitted URL: https://technical-green-lxztc8b4ri-71h0tn9r2e.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 local service page.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
Standard hosting without IPFS or cloud storage
Low JavaScript obfuscation (normal minification)
Content appears to be a legitimate service description
Domain age information unavailable

Details

Page Title

Harsh HV.AC Services | Ludhiana

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'technical-green-lxztc8b4ri-71h0tn9r2e.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'technical-green-lxztc8b4ri-71h0tn9r2e'. The registrable portion 'edgeone' spans 7 characters with 4 vowels and three consonants. It segments into two 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://technical-green-lxztc8b4ri-71h0tn9r2e.edgeone.app/

Page Load Overview

2.15s
Total Load Time
6
HTTP Requests
3
Domains
46 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:549 chars
Detector Agreement:67%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
2216.58.206.74Singapore
AS139341
2142.250.201.67SingaporeUnknown
63--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DDB10FE256E010307563C4A069A3165F7BA8C907C95FE66837FE229CEFC2CD9CA52309

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:Tmph62OC5iNsRz4C5GNUvNCjxbxVK57hmzOedvAyHkdH:yr6eDzPsYNCjh3PdaH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5388:EGwBAWgQACJQBIJBAQUEEAwYYYjCQYiAAwVAQCBIWAgYwCJAIyDEAIYygCACEEQAAIcYKEWlUCB6BgDQIAAAwAgEgwAIiCAY

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:18181818181910ff
Perceptual Hash:8858f34cf326f722
Difference Hash:313133333333b35d
Wavelet Hash:9999191919191bff
Color Hash:#c58799

Other Hashes

Crop Resistant:313133333333b35d,31333333333333f7

Scan History

Scan history not available

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