Security Scan Report: institutional-library-sc-ypvxcze27x.edgeone.app

Submitted: Mar 6, 2026, 7:15:14 AMCompleted: Mar 6, 2026, 7:16:35 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 1 HTTP transaction. The main domain is institutional-library-sc-ypvxcze27x.edgeone.app and was registered NaN years ago.

Submitted URL: https://institutional-library-sc-ypvxcze27x.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

You're looking at domain 'institutional-library-sc-ypvxcze27x.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'institutional-library-sc-ypvxcze27x'. The registrable portion 'edgeone' spans 7 characters containing 4 vowels alongside three consonants. Tokenizing the label suggests 2 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://institutional-library-sc-ypvxcze27x.edgeone.app/

Page Load Overview

0.57s
Total Load Time
3
HTTP Requests
2
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:472 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
22.18.64.221Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
143.152.26.58Singapore
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19FF1B63329A1102482A6E2607EB3874E7531C513E6058DB87DBC5564CFCEBA694BFADC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:SqiPJTuf+JGg0oIw2fBIO8w08UEJlDdPJ3Aof1RVQCbItH5/9Wy96k:S5fJwGCjQM1PQdVV+k

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7880:JG4BGhEKCCAqBRJwUEo7piYZAQmIAugFEhzwYapCSxgFAGakgAwJaEiT8DLAEACqIIgIgQQ4xEQIQjUiHFBAkAEggaKEck5N

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:ffffe7ffe7e7ffff
Perceptual Hash:b38ccc3393cc6633
Difference Hash:00040c324d4c3008
Wavelet Hash:c0c0c0d8c3c3f3f3
Color Hash:#93911f

Other Hashes

Crop Resistant:00040c324d4c3008

Scan History

Scan history not available

Unable to load historical scan data