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Security Scan Report: fun-tan-e486qywmq7-dh3jm2s885.edgeone.app

Submitted: Apr 16, 2026, 12:08:58 AMCompleted: Apr 16, 2026, 12:12:07 AMpubliccompleted
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Summary

This website contacted 5 IPs in 3 countries across 5 domains to perform 14 HTTP transactions. The main domain is fun-tan-e486qywmq7-dh3jm2s885.edgeone.app and was registered NaN years ago.

Submitted URL: https://fun-tan-e486qywmq7-dh3jm2s885.edgeone.app/

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Flash Man - Become the Robot Master

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(54%)

Domain Information

The domain 'fun-tan-e486qywmq7-dh3jm2s885.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'fun-tan-e486qywmq7-dh3jm2s885'. The second-level label 'edgeone' is 7 characters long split between four vowels and 3 consonants. Breaking it apart gives 2 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://fun-tan-e486qywmq7-dh3jm2s885.edgeone.app/

Page Load Overview

N/A
Total Load Time
14
HTTP Requests
0
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:193 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software54% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
54%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
676.223.54.146United States
AS16509Amazon.com, Inc.
257.144.110.128Warsaw, Mazovia, Poland
AS32934Facebook, Inc.
243.152.26.58Singapore
AS139341ACE
2142.251.20.95United States
AS15169Google LLC
2172.67.68.11United States
AS13335Cloudflare, Inc.
05--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14F72EC1E7271002B1C5780F7E6E3B658B635A1C3DA3EDEE9794E8210EFC65B248D3648

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:sh4PaTZrG8gjgxg2myJH7JXeS7JXex/27xcQ7sfGL/r/Rov+WbQe10ci9tBT32cA:s2C2qhL7SS7Kv+WbQe10ci993t6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17516:AoIG8iFigTVXICSoqAARAKLwBwUEAIT00AaBBoARCwAii8eUGIGCLCJaBoEEhrZAmMCVDeICwQUEDYTDRAorukCCWHqAIADE

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:0f071b1b1b190100
Perceptual Hash:88b576ced922cc39
Difference Hash:6d7eb2b3b3f3cf7a
Wavelet Hash:1f0f1f1f1f1f0301
Color Hash:#d22d4b

Other Hashes

Crop Resistant:6d7eb2b3b3f3cf7a

Scan History

Scan history not available

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