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Security Scan Report: zippy-green-agjguyrv-dp5gug43ov40.edgeone.app

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Submitted: Jun 10, 2026, 11:11:23 PMCompleted: Jun 10, 2026, 11:12:40 PMpubliccompleted
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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 zippy-green-agjguyrv-dp5gug43ov40.edgeone.app and was registered NaN years ago.

Submitted URL: https://zippy-green-agjguyrv-dp5gug43ov40.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: 72%

2
Risk Score

The site appears to be a legitimate educational page with low risk and no malicious indicators.

Risk Factors
Unknown subdomain creation date (could be newly created)
Low domain ranking increases suspicion
Safety Factors
No credential exfiltration or malicious network activity
No external links to known malicious domains
No JavaScript obfuscation or malware signatures
Domain age information unavailable

Details

Page Title

Geschichtsprojekt 9e | Digitalisierung Nationalsozialismus

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

unknown

(0%)

Domain Information

Within the application-focused generic top-level domain (.app), 'zippy-green-agjguyrv-dp5gug43ov40.edgeone.app' is registered, featuring subdomain 'zippy-green-agjguyrv-dp5gug43ov40'. The core label 'edgeone' covers 7 characters holding 4 vowels versus 3 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://zippy-green-agjguyrv-dp5gug43ov40.edgeone.app/

Page Load Overview

0.37s
Total Load Time
2
HTTP Requests
1
Domains
2 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:985 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T187E1516A99F30163688364B533E297573BA0D507C94BCE743EDC9350CF85AA5DAA334C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:jdaVjJ9c/FGSVvx/FiccBJ96axJshNUcNrbqolLUlhVVpy:Zaz9CX9d0c09HJYHZIDG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7035:ABQF4DCFAkcuAAAVZAC4CAEgIABQdRUhigcXDJCADkBtJZAbAAiiBRgBAkVaWBAARKDCDgLCAkgqAkhhmgSOHABBCkIBIHEK

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:1919191919191919
Perceptual Hash:887739338c6c9b66
Difference Hash:3131313131313131
Wavelet Hash:19193d393939393d
Color Hash:#ac5388

Other Hashes

Crop Resistant:3131313131313131

Scan History

Scan history not available

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