Security Scan Report: dracula-tier-list-w6mi5uvn4p.edgeone.app

Submitted: Mar 1, 2026, 5:25:51 PMCompleted: Mar 1, 2026, 5:27:27 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 dracula-tier-list-w6mi5uvn4p.edgeone.app and was registered NaN years ago.

Submitted URL: https://dracula-tier-list-w6mi5uvn4p.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: 92%

2
Risk Score

Site shows no malicious activity; only minor suspicion due to unknown subdomain age.

Risk Factors
Subdomain on a hosting platform (.edgeone.app) with unknown creation date (potentially new)
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware YARA matches
No network IDS alerts
No cross‑origin credential exfiltration observed
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(86%)

Domain Information

The domain 'dracula-tier-list-w6mi5uvn4p.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'dracula-tier-list-w6mi5uvn4p'. Its registrable label 'edgeone' stretches across 7 characters split between 4 vowels and 3 consonants. It segments into 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://dracula-tier-list-w6mi5uvn4p.edgeone.app/

Page Load Overview

0.68s
Total Load Time
2
HTTP Requests
1
Domains
13 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:19,420 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical86% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
86%
entertainment media
49%
adult content
49%
technology software
45%
news media journalism
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17FF392D495B365B700BFD1D3A6BA07E73AE44AE9E04B0159A3FC82AD47CEC097647903

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:DYDciVNMpFA8LZLUbJUEINncBJIQJ8SDMGup9Pu//OeG7OoWKOy0m9qSFH41iQGo:u0G

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:157738:CsADqEQKIkRIiZWDAy1HpxWwBJrisABGNNWwDAULQSkpEXYE6EBQQJQMpgggwhCCQwGiYAIJLBeIAxKLHFSIABAZRwxaC05r

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:c1e181c181818181
Perceptual Hash:faf0c0f5f0001f1f
Difference Hash:0101710101010101
Wavelet Hash:c1f1c1e18383c3c3
Color Hash:#5f862d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data