Security Scan Report: hacking1-vvflgyhhqm.edgeone.app

Submitted: Nov 21, 2025, 6:50:58 PMCompleted: Nov 21, 2025, 6:53:42 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 hacking1-vvflgyhhqm.edgeone.app.

Submitted URL: https://hacking1-vvflgyhhqm.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: 85%

1
Risk Score

No actionable threats detected; site appears legitimate.

Safety Factors
Domain has no known malicious Indicators of Compromise
Page contains no forms that collect sensitive data
Cisco Umbrella ranking is within the top 1 million (455,732), indicating some traffic legitimacy
Domain age information unavailable

Details

Page Title

SECURITY BREACH

Scan Type

public

Language

🇩🇪

German

(27% confidence)

Category

documentation technical

(43%)

Domain Information

Domain 'hacking1-vvflgyhhqm.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'hacking1-vvflgyhhqm'. Count 7 characters in 'edgeone' with 4 vowels and 3 consonants. Breaking it apart gives two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://hacking1-vvflgyhhqm.edgeone.app/

Page Load Overview

0.13s
Total Load Time
2
HTTP Requests
1
Domains
5 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:27%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:27%
Script Type:Latin
Text Length:464 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical43% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
43%

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

T18951A5EB72A31906F00748306BBE93C73958984BD60BD8043D8EB2D4CF957A5E49279D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:89h+Zos2+TzYVbLZTr5wFLE5xkrP2lyWE5Fk2XkAwcaCceti+1itaPRurTiJY:83Ds2+8bLZP2FFrelskmiEiAPQrTiJY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3008:AAAAgABAAEpACAQASIQISkICgABkABAIAABAAKEQQgAgCMFYAoABKAIAQAADAgAAAAAQCAQcMAAAAAABkACUABAAAJAIgTyE

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:8181010101010000
Perceptual Hash:aaaa55ffaa5550a0
Difference Hash:0505050505010000
Wavelet Hash:cfcf0f0f01810000
Color Hash:#bf4095

Other Hashes

Crop Resistant:0505050505010000

Scan History

Scan history not available

Unable to load historical scan data