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Security Scan Report: imperial-pink-c3cpftqk4v-hjpbje2utu.edgeone.app

Submitted: Mar 2, 2026, 8:04:30 PMCompleted: Mar 2, 2026, 8:06:17 PMpubliccompleted
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Summary

This website contacted 7 IPs in 3 countries across 7 domains to perform 19 HTTP transactions. The main domain is imperial-pink-c3cpftqk4v-hjpbje2utu.edgeone.app and was registered NaN years ago.

Submitted URL: https://imperial-pink-c3cpftqk4v-hjpbje2utu.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: 92%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise detected
JavaScript behavior normal (no obfuscation, no exfiltration)
Hosted on a reputable platform (edgeone.app) without suspicious scripts
Page title does not impersonate any known brand
Domain age information unavailable

Details

Page Title

Slime Rancher Decompiled v0.2.1

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(67%)

Domain Information

Domain 'imperial-pink-c3cpftqk4v-hjpbje2utu.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'imperial-pink-c3cpftqk4v-hjpbje2utu'. The core label 'edgeone' covers 7 characters with four vowels and 3 consonants. Tokenizing the label suggests 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://imperial-pink-c3cpftqk4v-hjpbje2utu.edgeone.app/

Page Load Overview

7.47s
Total Load Time
32
HTTP Requests
11
Domains
60.5 MB
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-us
Text Length:105 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software67% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
67%
entertainment media
40%
adult content
36%
documentation technical
32%
cryptocurrency blockchain
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8104.16.79.73Germany
AS15169
4154.12.247.42Seattle, Washington, United States
AS40021Contabo Inc.
443.152.26.58Singapore
AS139341ACE
4142.251.141.106United States
AS15169Google LLC
4142.251.127.95United States
AS15169Google LLC
4172.217.20.136United States
AS15169Google LLC
4151.101.129.229United States
AS54113Fastly, Inc.
327--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D832EA4669F100A0420B79FB37277699F012C60B3F45CC9AF6ACD854AF8459AD9E3BB4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:9a5rO/Q0ubmrjqSIW4IIF/eK5GtfU9Xp7dfIdJgpapBLX+WsvmDYxj:9al7mrjqSIWDIVeAuaXpWdJGuf/YB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11475:KWIQS2GpMqukQ4UAC0pMQA5wlAA4UAIgIACbBqhiARoZFlLQNGAIIRHWkE1DzRCQDALMaEcMA1DEBJbicsREWIdIEAY0DAAU

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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