Security Scan Report: active-gray-qnztamglue-8rln0rih3j.edgeone.app

Submitted: Feb 25, 2026, 3:35:52 PMCompleted: Feb 25, 2026, 3:37:12 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 24 HTTP transactions. The main domain is active-gray-qnztamglue-8rln0rih3j.edgeone.app and was registered NaN years ago.

Submitted URL: https://active-gray-qnztamglue-8rln0rih3j.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: 93%

0
Risk Score

No security concerns detected; the site appears legitimate and safe.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
Low JavaScript obfuscation (standard minification)
Hosted on a known development platform (edgeone.app) without suspicious behavior
Content appears to be a generic marketing page with no brand impersonation
Domain age information unavailable

Details

Page Title

PapierkramOrganisierer

Scan Type

public

Language

🇩🇪

German

(53% confidence)

Category

government public service

(42%)

Domain Information

The domain name 'active-gray-qnztamglue-8rln0rih3j.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'active-gray-qnztamglue-8rln0rih3j'. The registrable portion 'edgeone' spans 7 characters holding 4 vowels versus three consonants. Tokenizing the label suggests two 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://active-gray-qnztamglue-8rln0rih3j.edgeone.app/

Page Load Overview

0.98s
Total Load Time
18
HTTP Requests
1
Domains
2.7 MB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:53%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:53%
Script Type:Latin
Text Length:1,186 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service42% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1843.152.26.58Singapore
181--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11FA1014090F0207BC493A1EFB5126F6A3FD5E40BEBA65A44F1FC82B85F52C529D6329D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:D5kncgM2el3d2MY+UzT3+XrftjGlbBP2Pd:D5VgMt3dhUzTa16lFOPd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4741:JBgEJABIuQBsADDCCAAAiAMVAAoBUAEgSAQICFBYIEgBUhSCICQCKIgJUGAwAhAsAAQAAQIBoEgYCEgAkCoBQABipBEGBBAF

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:ff2000300fcfffff
Perceptual Hash:9546e4b9b0ceb8b1
Difference Hash:10656669989c5116
Wavelet Hash:ff0000200e0fffff
Color Hash:#89d279

Other Hashes

Crop Resistant:10656669989c5116

Scan History

Scan history not available

Unable to load historical scan data