Security Scan Report: physicsweek1and2-dpu76jj9bwaj.edgeone.app

Submitted: Jun 24, 2026, 9:53:05 AMCompleted: Jun 24, 2026, 9:54:15 AMpubliccompleted
Loading additional data...

Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 2 HTTP transactions. The main domain is physicsweek1and2-dpu76jj9bwaj.edgeone.app and was registered NaN years ago.

Submitted URL: https://physicsweek1and2-dpu76jj9bwaj.edgeone.app/

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

Low risk site with no credential forms or malicious indicators; likely legitimate educational content.

Risk Factors
Unknown subdomain creation date
Unranked domain
Circular redirect
Safety Factors
No forms collecting credentials or payment data
No malicious indicators from IDS, YARA, or Safe Browsing
Content appears educational/technical
External resources limited to standard Google Fonts
Domain age information unavailable

Details

Page Title

PHYSICS MOCK 1

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(80% confidence)

Category

documentation technical

(72%)

Domain Information

You're looking at domain 'physicsweek1and2-dpu76jj9bwaj.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'physicsweek1and2-dpu76jj9bwaj'. Its registrable label 'edgeone' stretches across 7 characters containing four vowels alongside 3 consonants. It segments into 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://physicsweek1and2-dpu76jj9bwaj.edgeone.app/

Page Load Overview

0.94s
Total Load Time
10
HTTP Requests
3
Domains
293 KB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
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:3,345 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical72% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
72%
education learning
67%
technology software
67%
government public service
52%
adult content
50%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
543.152.26.58Singapore
5142.251.13.95United States
AS15169Google LLC
102--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18374E66263B5013054236DA6237B8F5AF3349103E405D6A875DE81C84FFAA78DEB3BD9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:Kc4gt+LmgVPt9F64gvCvx9R4kCJgDY6UEeifzALpFLNBsqdDUV4prLgcqEIb7Zm2:Kc4gtZet9F64gvgifpFLVh53jGaAv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:340206:JEhAaILAEAIABAQAAFREMQcEIAPgPXJCTLoaAILGgF2sFknQRRGaAI7yAOUAkJcG6kAHgG1RFkgQIABEFSAOUIkIARDAgEBs

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:ffffe7e7e7ffffff
Perceptual Hash:e68b996466999966
Difference Hash:0810080c4d080000
Wavelet Hash:c0c0c0c0c3c3ffff
Color Hash:#8a53ac

Other Hashes

Crop Resistant:0810080c4d080000

Scan History

Scan history not available

Unable to load historical scan data