Security Scan Report: digital-system-if9ztikqdr.edgeone.app

Submitted: Dec 5, 2025, 8:23:25 AMCompleted: Dec 5, 2025, 8:24:50 AMpubliccompleted
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Summary

This website contacted 14 IPs in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is digital-system-if9ztikqdr.edgeone.app and was registered NaN years ago.

Submitted URL: https://digital-system-if9ztikqdr.edgeone.app/

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

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

EdgeOne Pages

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

other

(57%)

Domain Information

The domain 'digital-system-if9ztikqdr.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'digital-system-if9ztikqdr'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and 3 consonants. Splitting it apart reveals 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://digital-system-if9ztikqdr.edgeone.app/

Page Load Overview

0.15s
Total Load Time
3
HTTP Requests
2
Domains
15 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:183 chars
Detector Agreement:100%

Website Classification

Primary Category

other57% confidence
Type: static
Method: ml+structural

All Detected Categories

other
57%
suspicious phishing
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.175.168.84Singapore
143.152.26.151Singapore
043.175.152.66Singapore
043.174.109.95Singapore
043.174.109.87Singapore
043.175.152.67Singapore
043.174.109.182Singapore
043.152.26.209Singapore
043.152.29.101Singapore
043.152.26.154Singapore
314--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14C819B5765F311126953E4AC2F755B0A76E4C403C28ACD2A3EEC639CCF8AE969D9334C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nkPv0c6StLUtapqFo9itOgO5R5I+hck4xhB1F8tSZJXXdPFe:kPz6StLUtapqFo9itOgOf5Iwck4xhB1i

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4018:hAACEgARAEgHSAHAADQBJiwAFAAIQAFACAAEgAKQAAIIAGgQAQggAQACgCgAkgSABAwhCCCACAhrACAAIoKADJACggNkAgVY

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:ffffe7e7e7e7ffff
Perceptual Hash:a699ccc633336699
Difference Hash:000008080c0c0000
Wavelet Hash:f0f0c0c0c0e4fcfc
Color Hash:#2d5b86

Other Hashes

Crop Resistant:000008080c0c0000

Scan History

Scan history not available

Unable to load historical scan data