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Security Scan Report: pleasant-coffee-a5iskdauol-qtaztp9gvl.edgeone.app

Submitted: Mar 21, 2026, 1:11:57 PMCompleted: Mar 21, 2026, 1:13:15 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 3 HTTP transactions. The main domain is pleasant-coffee-a5iskdauol-qtaztp9gvl.edgeone.app and was registered NaN years ago.

Submitted URL: https://pleasant-coffee-a5iskdauol-qtaztp9gvl.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: 85%

3
Risk Score

New subdomain with no malicious content; low risk but moderate suspicion due to unknown age.

Risk Factors
Unknown subdomain age on hosting platform
Low domain ranking
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
Uses standard CDN (cdnjs.cloudflare.com)
Low JavaScript obfuscation score
Content appears to be a legitimate project demonstration
Domain age information unavailable

Details

Page Title

2-Axis Gantry Demonstrator – FYP 2026

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(26%)

Domain Information

The domain 'pleasant-coffee-a5iskdauol-qtaztp9gvl.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'pleasant-coffee-a5iskdauol-qtaztp9gvl'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus 3 consonants. Segmentation suggests two 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://pleasant-coffee-a5iskdauol-qtaztp9gvl.edgeone.app/

Page Load Overview

0.50s
Total Load Time
3
HTTP Requests
2
Domains
132 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:1,010 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software26% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2104.17.24.14United States
AS13335Cloudflare, Inc.
143.152.26.58Singapore
AS139341ACE
32--

Detected Technologies3

Cloudflare
50%
cdnjs
20%
Three.js
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13DE2096232B51532B023C1E2768707EA7524400BB81BC56CBA6C81689FC7CFB937B6DD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:7rbPe+PWC6ly0U7GWNKpsKEpA4qiEjohQ:Xi+KCJAAe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:31565:y5SIIA+NjANBKIcwqAFcYBXCDTAti0QkANARAChxBuSQ3MEOISFBRJQNBQbAj7NTIzEhJ/QAMBcpEEEeDlkDgFgPEVSL+MBq

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:003c7e7e7e7e3c00
Perceptual Hash:cc7333cc4c33cc66
Difference Hash:e0e0f0f0f0f0e8e0
Wavelet Hash:003c7e7e7e7e3c00
Color Hash:#d29279

Other Hashes

Crop Resistant:e0e0f0f0f0f0e8e0

Scan History

Scan history not available

Unable to load historical scan data