Security Scan Report: mpet.3games.io

Submitted: Jan 2, 2026, 7:21:25 AMCompleted: Jan 2, 2026, 7:23:07 AMpubliccompleted
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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 mpet.3games.io and was registered NaN years ago.

Submitted URL: https://mpet.3games.io

The Cisco Umbrella rank of the primary domain is #341,622 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain age
No malicious Indicators of Compromise
No forms collecting sensitive data
No brand impersonation or phishing cues
Domain age information unavailable

Details

Page Title

Not Found

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(61%)

Domain Information

The domain 'mpet.3games.io' uses the British Indian Ocean Territory country-code top-level domain (.io), featuring subdomain 'mpet'. The registrable portion '3games' spans 6 characters holding two vowels versus 3 consonants; it also includes 1 digit. It segments into two words: 3, games. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mpet.3games.io

Page Load Overview

1.78s
Total Load Time
2
HTTP Requests
1
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:72 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism61% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
61%
adult content
60%
government public service
56%
healthcare medical
54%
cryptocurrency blockchain
50%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2169.197.102.173Frankfurt am Main, Hesse, Germany
AS21859ZEN-ECN
21--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12DC0804FD083524FC42451B43CC133F0655D835570769360BF81D55964A867CC5C3555

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:PouVWJhquHbsxvUK0e0qRAEtvxL/zUze0GlSwzRWWkRUezQF7hXWSWKqz:h4hqIYxMK0eRmEdxkzetlSwzR/kCezoe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:11b4beed33b2d1841e46bd64fec66cd2

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:3fbfffffffffffff
Perceptual Hash:83030303070fffff
Difference Hash:c040000000000000
Wavelet Hash:00c0c0c000000000
Color Hash:#40b7bf

Other Hashes

Crop Resistant:c040000000000000

Scan History

Scan history not available

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