Security Scan Report: discordzocken-t18mb19791.edgeone.app

Submitted: Feb 23, 2026, 3:28:55 AMCompleted: Feb 23, 2026, 3:30:15 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is discordzocken-t18mb19791.edgeone.app and was registered NaN years ago.

Submitted URL: https://discordzocken-t18mb19791.edgeone.app/

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

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

discordzocken-t18mb19791.edgeone.app

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

social media network

(81%)

Domain Information

Domain 'discordzocken-t18mb19791.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'discordzocken-t18mb19791'. Its registrable label 'edgeone' stretches across 7 characters split between 4 vowels and 3 consonants. Segmentation suggests 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://discordzocken-t18mb19791.edgeone.app/

Page Load Overview

0.92s
Total Load Time
6
HTTP Requests
3
Domains
249 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:294 chars
Detector Agreement:67%

Website Classification

Primary Category

social media network81% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
81%
news media journalism
29%
adult content
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
643.152.26.58Singapore
61--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E9048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:3fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszg2bMy8OldC:IhoC9JSqzzbs6o3Sj3gcrss2eAo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184571:AUNoA4AtBagAB6gQWEACjGSjAAEL2DOtADAGMELiQwQjJcAIiBoBKA1YRB1xAiYIUHCACh4k3RKGUIbAXYpQAUxSJYKABAxJ

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:ffcfc3c7ffffffff
Perceptual Hash:b131cccccc676363
Difference Hash:00180c1400000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#2dd272

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data