Security Scan Report: past-apricot-0x4phiz7-dpzhhoxft8ak.edgeone.dev

Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 1 domain to perform 20 HTTP transactions. The main domain is edgeone.dev and was registered 1 year 4 months ago.

Submitted URL: https://past-apricot-0x4phiz7-dpzhhoxft8ak.edgeone.dev/

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

Minimal self-branded game/app page on a platform subdomain with no forms, no impersonation, and no malware, YARA, or IDS evidence. Reputation-only IP tags are not content evidence; low risk.

Safety Factors (4)
No forms of any kind; no password, payment, or email collection fields
No third-party scripts; all JavaScript served from the site's own domain
No obfuscated JS, YARA matches, IDS alerts, or credential exfiltration detected
No impersonation of another entity's brand or login
Domain age information unavailable

Details

Page Title

Monster Slayer 0.9.0.2

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'past-apricot-0x4phiz7-dpzhhoxft8ak.edgeone.dev' is registered and includes subdomain 'past-apricot-0x4phiz7-dpzhhoxft8ak'. The second-level label 'edgeone' is 7 characters long split between four vowels and three consonants. Tokenizing the label suggests 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://past-apricot-0x4phiz7-dpzhhoxft8ak.edgeone.dev/

Page Load Overview

2.85s
Total Load Time
2.2 MB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
Code: en
Confidence:26%
Script:Latin
Direction:ltr

Detection Details

Text Length:6,414,625 chars
Detector Agreement:50%

Website Classification

Primary Category

adult content63% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
63%
travel tourism
36%
government public service
34%
education learning
29%
documentation technical
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1043.174.247.29Singapore
1043.174.246.29Singapore
202--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C786191FA7210BF3065215B4724D36EAFF27803EAB24D634A45E629833B26550E7F2F5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

49152:XkuSR4Upurq5DjopjdcF5SCGxFVhBBW0qG0nLkH3JLTbdP0r7jWSi32u0Rdfed+c:4qx7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7856999:BMsAQgoOBOSCERJFOEYIGICBBMeVgKkKgQtCAGcgolAucLYsykAGpQAAHEqdlWhTAFQAI6RDBEoYAQwEHQjIAOMkijCOkBAg

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:c0c0c0c0c0c0c0c0
Perceptual Hash:fe6466d899999988
Difference Hash:2626242020202020
Wavelet Hash:e0e2e0fcf0f0f0f0
Color Hash:#6ce0b1

Other Hashes

Crop Resistant:2626242020202020

Scan History

Scan history not available

Unable to load historical scan data