Security Scan Report: early-apricot-f3vfou1fcl-ame377wndd.edgeone.app

Submitted: Mar 2, 2026, 8:39:51 PMCompleted: Mar 2, 2026, 8:41:21 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 early-apricot-f3vfou1fcl-ame377wndd.edgeone.app and was registered NaN years ago.

Submitted URL: https://early-apricot-f3vfou1fcl-ame377wndd.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: 93%

1
Risk Score

No malicious activity detected; the site appears to be a harmless game.

Safety Factors
No credential or payment forms present
No cross‑origin credential exfiltration observed
No network IDS alerts
Hosted on a known developer platform (edgeone.app) with no suspicious scripts
Domain age information unavailable

Details

Page Title

Top-Down Shooter

Scan Type

public

Language

🇺🇸

English

(72% confidence)

Category

unknown

(0%)

Domain Information

Within the application-focused generic top-level domain (.app), 'early-apricot-f3vfou1fcl-ame377wndd.edgeone.app' is registered with subdomain 'early-apricot-f3vfou1fcl-ame377wndd'. The core label 'edgeone' covers 7 characters holding four vowels versus 3 consonants. It segments into 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://early-apricot-f3vfou1fcl-ame377wndd.edgeone.app/

Page Load Overview

0.38s
Total Load Time
2
HTTP Requests
1
Domains
5 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:72%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:72%
Script Type:Latin
Text Length:39 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

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

T1D091EF1E63FB052A80A371A90F9762DCF720A0171B06CF5C7D4D83904FAE46259EBB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:bDXDJ9Jw0d5v6Z7LtsODXtgyB7HvW6Z7LtsOd8IcDJ5GK+wlPluvQcJo/:bDXDJ9JT5v6Z7p3D9gyB7+6Z7p3qlGwr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4562:kBQBADAAAkAAAAUUEAIfECABAUAmAAFCQAABQYoAAAgGqAsAoUAgkgAQJAiQgjgCYACEiKIAAAApAgBAAJDAAAAKACAEOiBA

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:c00018787801d100
Perceptual Hash:c85176f2d5e830f4
Difference Hash:008830505009a100
Wavelet Hash:8c883cfcf809d998
Color Hash:#6d931f

Other Hashes

Crop Resistant:008830505009a100

Scan History

Scan history not available

Unable to load historical scan data