Security Scan Report: digital-library-archive-ne5pvw4fp3.edgeone.app

Submitted: Mar 7, 2026, 2:47:29 AMCompleted: Mar 7, 2026, 2:48:50 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is digital-library-archive-ne5pvw4fp3.edgeone.app and was registered NaN years ago.

Submitted URL: https://digital-library-archive-ne5pvw4fp3.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: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Institutional SSO | University Network Access

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'digital-library-archive-ne5pvw4fp3.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'digital-library-archive-ne5pvw4fp3'. Its registrable label 'edgeone' stretches across 7 characters with four vowels and three consonants. Breaking it apart gives two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://digital-library-archive-ne5pvw4fp3.edgeone.app/

Page Load Overview

0.46s
Total Load Time
2
HTTP Requests
1
Domains
7 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:1,127 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: webapp
Method: structural

All Detected Categories

No categories detected

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BF12C7332AA1101492A6E1703BB3874A7621C413F6014AB87DEC5254CFCFB95A5BFFD8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:SqiNNqXb9GKXiP+ehjvZUb0oIYl20lJO8e08UEJJ9FNPFKWAoP1RVQCbIofH559F:SlkRiy5hE1olk1PQd0vWk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9416:pIEJiRA5VyMqEYaRhDQpkiErKYIUQYFQCpxAMIJBBlQNggQUBA3BLEVFsCqohUCIVOUMGlwEiVgCURJgUq9C1CIOI9spZCRL

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:ffe7e7ffe7e7ffe7
Perceptual Hash:b399cc6699993266
Difference Hash:100c0c324d4d300c
Wavelet Hash:f0e0c0c8c0c0c0fc
Color Hash:#3a6878

Other Hashes

Crop Resistant:100c0c324d4d300c

Scan History

Scan history not available

Unable to load historical scan data