Security Scan Report: smalljoys.me

Submitted: Feb 5, 2026, 1:33:12 PMCompleted: Feb 5, 2026, 1:34:41 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is smalljoys.me and was registered NaN years ago.

Submitted URL: https://smalljoys.me

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Site appears legitimate but currently unreachable (404 error).

Safety Factors
Well‑established domain (>9 years old)
No malicious Indicators of Compromise
No credential or payment collection forms
No JavaScript malware detected
Standard hosting without IPFS or cloud‑storage red flags
Domain age information unavailable

Details

Page Title

smalljoys.me

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(44%)

Domain Information

Domain 'smalljoys.me' uses the Montenegrin country-code top-level domain (.me). The registrable portion 'smalljoys' spans 9 characters split between 2 vowels and 7 consonants. Segmentation suggests 2 words: small, joys. Median word length is 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://smalljoys.me

Page Load Overview

2.84s
Total Load Time
4
HTTP Requests
2
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:116 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism44% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
44%
healthcare medical
40%
government public service
37%
adult content
33%
finance banking
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4188.114.97.3United States
41--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10A048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:VfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszc2bMy8Olda:yhoC9JSqzzbs6o3Sj3gcrs42eAA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184451:QRFkhoBDMSptMFyTQECQyGPcCjRi2ioAohB6AWnAyGEkWCAOwAx6SOhdTaA0AIYBxCAAACq1OIChyJwBg0PU2GCgIoPBAJHD

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:ffcfc3cfffffffff
Perceptual Hash:b331cccccc633333
Difference Hash:00180c1800000000
Wavelet Hash:f0d0c0ccf0f0f0f0
Color Hash:#aca853

Other Hashes

Crop Resistant:00180c1800000000

Scan History

Scan history not available

Unable to load historical scan data