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Security Scan Report: substantial-apricot-kzmtmnonwt-hyb85tp9zi.edgeone.app

Submitted: Nov 24, 2025, 6:26:16 AMCompleted: Nov 24, 2025, 6:28:03 AMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 2 domains to perform 5 HTTP transactions. The main domain is substantial-apricot-kzmtmnonwt-hyb85tp9zi.edgeone.app.

Submitted URL: https://substantial-apricot-kzmtmnonwt-hyb85tp9zi.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

No direct malicious signs, but low reputation suggests cautious use.

Risk Factors
Low Cisco Umbrella ranking (455,732) indicates limited reputation
Domain age could not be determined
Safety Factors
No forms (including password or payment) detected on the page
No malicious Indicators of Compromise matches found
No external domains or links detected
Content could not be fetched, but no suspicious elements reported
Domain age information unavailable

Details

Page Title

Sannutha Eluru - Portfolio

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(88%)

Domain Information

The domain name 'substantial-apricot-kzmtmnonwt-hyb85tp9zi.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'substantial-apricot-kzmtmnonwt-hyb85tp9zi'. Its registrable label 'edgeone' stretches across 7 characters split between 4 vowels and 3 consonants. Splitting it apart reveals 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://substantial-apricot-kzmtmnonwt-hyb85tp9zi.edgeone.app/

Page Load Overview

0.38s
Total Load Time
5
HTTP Requests
2
Domains
19 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:11,710 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning88% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
88%
technology software
88%
documentation technical
70%
government public service
57%
adult content
52%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
AS139341ACE
1172.67.68.11United States
AS13335CLOUDFLARENET
0104.26.2.143United States
AS13335CLOUDFLARENET
02606:4700:20::681a:38fUnited States
AS13335CLOUDFLARENET
02606:4700:20::681a:28fUnited States
AS13335CLOUDFLARENET
0104.26.3.143United States
AS13335CLOUDFLARENET
02606:4700:20::ac43:440bUnited States
AS13335CLOUDFLARENET
57--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16983B43A7251053FACEB81F6F2B16B7EB0A4C7A9ED17908593E9C3E453C1CD2AD42614

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:vBthn/Mjwf+WbQqHov6OLPmwioUhhPLSPD5nP45x2X7fwhTtJJ5Qbx/3:Zth0a8UhhPLSPDlVX78tibx/3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:82475:xIAoxmI2QESAAAjUaBqpgu2MJpEKchREsSFEaIgB2QJDXpuqiAigdTyACsFyCABpAxBIx1gmAqgBQYzFKAAIAAEALtk0FAVD

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:d0000000ffffffdf
Perceptual Hash:f847b88738ccb3b0
Difference Hash:2071213121089696
Wavelet Hash:80000000ffffffdf
Color Hash:#e06c83

Other Hashes

Crop Resistant:2071213121089696,9226b29ab1b13580,0070602020303000

Scan History

Scan history not available

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