Security Scan Report: single-copper-agnugthaqs-rb73e0z2x9.edgeone.app

Submitted: Mar 10, 2026, 5:46:16 AMCompleted: Mar 10, 2026, 5:47:56 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is single-copper-agnugthaqs-rb73e0z2x9.edgeone.app and was registered NaN years ago.

Submitted URL: https://single-copper-agnugthaqs-rb73e0z2x9.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 82%

0
Risk Score

No malicious activity detected; the site appears to be a simple educational resource.

Safety Factors
Absence of credential or payment collection forms
No malicious Indicators of Compromise
Low JavaScript obfuscation and no YARA malware matches
Plain informational content without brand impersonation
Standard hosting platform without exploit indicators
Domain age information unavailable

Details

Page Title

Science Stage 9 · 10 unique papers (no repeats)

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(65%)

Domain Information

The domain 'single-copper-agnugthaqs-rb73e0z2x9.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'single-copper-agnugthaqs-rb73e0z2x9'. Count 7 characters in 'edgeone' containing four vowels alongside 3 consonants. Segmentation suggests 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://single-copper-agnugthaqs-rb73e0z2x9.edgeone.app/

Page Load Overview

13.18s
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:837 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software65% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
65%
documentation technical
37%
adult content
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BBA2A61A2EA315319407E06B0BD7428AE27DD007A019D8643DAC729C9F90AD596FEFDE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:6OgiiK8UBmKL397yG2W0R8JW5k1xmiqctOJywlvD568996YIKd9V8i7JkaAK0SYo:KSFgi2Z07L2oPfnFSZ4WQRowh5g

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21799:Uw4R4IvKVQWoEIEABrCFFDBiIA0EgYBAEnCGCCUigAeEQRYhIQI1zFJiLEgoRsYsQe2YFxGCDCUMJsAGVWlKUiAAAQzgSChg

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:879f9981ffffffff
Perceptual Hash:b83c86c76568d8d9
Difference Hash:263c333306200000
Wavelet Hash:030f190100000000
Color Hash:#5bbf40

Other Hashes

Crop Resistant:263c333306200000

Scan History

Scan history not available

Unable to load historical scan data