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Security Scan Report: jefferyepstein-tp0o1c6hw4.edgeone.app

Submitted: Mar 18, 2026, 10:02:51 PMCompleted: Mar 18, 2026, 10:04:11 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 6 HTTP transactions. The main domain is jefferyepstein-tp0o1c6hw4.edgeone.app and was registered NaN years ago.

Submitted URL: https://jefferyepstein-tp0o1c6hw4.edgeone.app/

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

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

Site shows no malicious code but is a new subdomain with social engineering prompts; proceed cautiously.

Risk Factors
New subdomain on free hosting platform with unknown age
Social engineering instruction to click pop‑ups
Domain name includes high‑profile name (Jeffrey Epstein) possibly used for sensational content
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware patterns
No network IDS alerts
Domain age information unavailable

Details

Page Title

Premium Games

Scan Type

public

Language

🇺🇸

English

(51% confidence)

Category

technology software

(53%)

Domain Information

Domain 'jefferyepstein-tp0o1c6hw4.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'jefferyepstein-tp0o1c6hw4'. Count 7 characters in 'edgeone' split between 4 vowels and 3 consonants. Segmentation suggests 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jefferyepstein-tp0o1c6hw4.edgeone.app/

Page Load Overview

0.78s
Total Load Time
6
HTTP Requests
2
Domains
11 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:51%
Script Type:Latin
Text Length:303 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software53% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
53%
social media network
39%
documentation technical
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
AS139341ACE
379.127.216.203Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
62--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11112D7F34760683B4B3746883CD6A34EF401411DCFD6D80AADA9E65DC2FA8D2353966C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:rO2fbeMCqfK1xydiw/BJ/BQJ8/BqIDl6/Bjz76GwtFjNGydyPFtHj:r3xKTqX5J515XZ65jSGsZNGydyPFtD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9883:uoCBNhiAJDIBRoTGEBNABCIJiUBEoQMALBqMhwYHFIIKWiCAoRTBoCCBYUQULxF0QCVWaj0wSHEMA48zCCjMA8QoSQEiAIhG

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:8000001818000000
Perceptual Hash:dc7072d8dc727348
Difference Hash:000008b2b2080000
Wavelet Hash:c000243c1c0c00ff
Color Hash:#76862d

Other Hashes

Crop Resistant:000008b2b2080000

Scan History

Scan history not available

Unable to load historical scan data