Security Scan Report: sterni-glubsch-auth-pyunnpcyfi.edgeone.app

Submitted: Apr 5, 2026, 8:17:15 AMCompleted: Apr 5, 2026, 8:18:32 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 sterni-glubsch-auth-pyunnpcyfi.edgeone.app and was registered NaN years ago.

Submitted URL: https://sterni-glubsch-auth-pyunnpcyfi.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: 70%

3
Risk Score

Moderate risk due to a newly created subdomain on edgeone.app; no malicious activity observed.

Risk Factors
Subdomain on hosting platform with unknown creation date
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise detected
No JavaScript malware patterns detected
No network IDS alerts detected
Domain age information unavailable

Details

Page Title

Sterni Auth

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

cryptocurrency blockchain

(77%)

Domain Information

The domain name 'sterni-glubsch-auth-pyunnpcyfi.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'sterni-glubsch-auth-pyunnpcyfi'. The registrable portion 'edgeone' spans 7 characters split between four vowels and 3 consonants. Tokenizing the label suggests 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sterni-glubsch-auth-pyunnpcyfi.edgeone.app/

Page Load Overview

0.34s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:de
Text Length:57 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain77% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
77%
news media journalism
70%
government public service
69%
healthcare medical
68%
finance banking
66%

Detected Features

No structural features detected

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

T16271954998B10523D95B66BA716372512123C403584DAAA4FFEEE2507F9A04E81B67CE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:puCx2sz2VJPtkdeuLvyc2ra9D5W3A/yEV9Hr54/Alru:7x2hrGLvycQmGA/yE3q/Alru

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3595:AAQqEEAKVEESAiIUECDAQAAAAQBYqgZBAQhABAbJAAEAAQCAAEAAFCAAECEBBAAUAQgAKEQwAAAARACgFAiCIABEKADAgIAA

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:ffffffe7e7ffffff
Perceptual Hash:b399cc263393cccc
Difference Hash:0008104c4c100000
Wavelet Hash:f0f0f0e0c0c0f0f0
Color Hash:#79d2b5

Other Hashes

Crop Resistant:0008104c4c100000

Scan History

Scan history not available

Unable to load historical scan data