Security Scan Report: mo-a.site

Redirected to:
https://mo-a.site/login
Submitted: Nov 16, 2025, 6:43:42 AMCompleted: Nov 16, 2025, 6:44:45 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 9 HTTP transactions. The main domain is mo-a.site and was registered NaN years ago.

Submitted URL: https://mo-a.site/

Effective URL: https://mo-a.site/loginRedirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Site is a confirmed credential harvesting scam; avoid and report.

Risk Factors
Credential harvesting form without username on a critical‑age domain
Multiple password fields with no associated identifier field
Domain age less than 7 days
Unranked/low‑reputation domain
Domain age information unavailable

Details

Page Title

moa

Scan Type

public

Language

🇰🇷

Korean

(60% confidence)

Category

unknown

(0%)

Domain Information

The domain 'mo-a.site' uses the .site top-level domain while skipping any subdomain. The second-level label 'mo-a' is 4 characters long holding 2 vowels versus 1 consonant; it also includes 1 hyphen. It segments into two words: mo, a. Average segment length settles at 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mo-a.site/

Page Load Overview

40.24s
Total Load Time
9
HTTP Requests
1
Domains
4.2 MB
Total Size

Language Analysis

Primary Language

🇰🇷Korean
Code: ko
Confidence:60%
Script:Hangul
Direction:ltr

Detection Details

Language Code:ko
Detection Confidence:60%
Script Type:Hangul
HTML Lang Attribute:en
Text Length:270 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as ko

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
954.206.33.238Sydney, New South Wales, Australia
AS16509AMAZON-02
91--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A322A5B070905BAB23178BA97166FB99709DE30FCA57A18CF3FC21B26FD5CE58841452

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:+4PBE4K94+94d94E94Eau9fMLCww1kP1kwBMXcdngIDmOhaEyXcdngIDwE:+d4q4W4H444EB8uwSXcvDmOha3XcvDD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10900:gRECBFnJt7MoaSBVAeg1QagwgKxIQEKFNiCIlCaON2zKMECDChARCgyYWQGJRCIqwRQCuAYEbgIjBBijkC5vEcBQqiJAS+Jw

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:fffff3f3f3f3c3f3
Perceptual Hash:ed929b926d64ce30
Difference Hash:4910262626268606
Wavelet Hash:edfec0d0c0e0c1f1
Color Hash:#3a5c78

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data