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Security Scan Report: established-white-o3t6cad7q2-q7y3830nem.edgeone.app

Submitted: Mar 12, 2026, 1:15:26 PMCompleted: Mar 12, 2026, 1:17:06 PMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 4 domains to perform 9 HTTP transactions. The main domain is established-white-o3t6cad7q2-q7y3830nem.edgeone.app and was registered NaN years ago.

Submitted URL: https://established-white-o3t6cad7q2-q7y3830nem.edgeone.app/

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

AI Security Verdict

Moderate Risk

Confidence: 78%

4
Risk Score

No malicious activity observed, but the subdomain is newly created on a free hosting platform and has low reputation.

Risk Factors
Subdomain on free hosting platform with unknown creation date
Low domain ranking (outside top 100k) without established reputation
Safety Factors
No malicious Indicators of Compromise matches
No credential or payment collection forms
No JavaScript malware patterns detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

Venkata Sai Ram PG – Jayanagar 9th Block, Bangalore

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(71%)

Domain Information

Domain 'established-white-o3t6cad7q2-q7y3830nem.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'established-white-o3t6cad7q2-q7y3830nem'. Its registrable label 'edgeone' stretches across 7 characters with four vowels and three consonants. Breaking it apart gives 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://established-white-o3t6cad7q2-q7y3830nem.edgeone.app/

Page Load Overview

8.16s
Total Load Time
1
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:849 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software71% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
71%
documentation technical
41%
adult content
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
AS139341
0142.251.36.106Singapore
AS139341
0142.251.155.119Singapore
AS139341
0172.217.168.67Singapore
AS139341
14--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T103B2526796B310267813E4A56BE7475A77B0E007C80AC9187FED12888FD5DE8EC63B4C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:VrID6PJ7SzrEvRLTJRowrSFUXmzHZUw/kqgPf1QOQMuTcWe81dv0w3FH/qS+9UeZ:VrI1rECyfuJdlhkNuZdDw/d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:24089:DFVyBEIAAADkgVoAWIqKkSRJZCBjEAEKjJBMCSKERWBOitbSRBRSQOACLRtGIxCIXYQGRAiBKwAi5ChUAAQAwAuVADI2JCBH

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:03033d391919197d
Perceptual Hash:88353364f9cdcc33
Difference Hash:2a9d7131b1b5f1f1
Wavelet Hash:83073f1919113d7f
Color Hash:#ac5382

Other Hashes

Crop Resistant:cbcbc7c8c8c8c8c7,2a9d7131b1b5f1f1

Scan History

Scan history not available

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