Security Scan Report: expert.unimas.my

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Submitted: Jun 23, 2026, 12:15:43 AMCompleted: Jun 23, 2026, 12:16:54 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 expert.unimas.my and was registered NaN years ago.

Submitted URL: https://expert.unimas.my/profile/3010

The Cisco Umbrella rank of the primary domain is #630,251 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The site shows no malicious activity, has an old domain, and contains no credential or payment forms; it appears legitimate.

Safety Factors
Old, well‑established domain
Self‑branding detected
No forms or data collection
No malicious IoC or YARA detections
No IDS alerts
Domain age information unavailable

Details

Page Title

Expert

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media

(30%)

Domain Information

Within the Malaysian country-code top-level domain (.my), 'expert.unimas.my' is registered, featuring subdomain 'expert'. The registrable portion 'unimas' spans 6 characters holding 3 vowels versus 3 consonants. Segmentation suggests 2 words: uni, mas. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://expert.unimas.my/profile/3010

Page Load Overview

3.67s
Total Load Time
10
HTTP Requests
4
Domains
1.1 MB
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:5,574 chars
Detector Agreement:100%

Website Classification

Primary Category

social media30% confidence
Type: static
Method: structural

All Detected Categories

social media
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1049.50.237.158Kota Samarahan, Sarawak, Malaysia
AS55856Universiti Malaysia Sarawak
101--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T142435561AEB50C2F8693E1D1C6A27F4A2A75D923E3474764B1AC1E6D1FC3EF2450F248

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:BX9QmDVv1E+f6KH4A2J91brAJ52JvP0YZO8MlyHNyn:3QmDN1F6KHRS9RAHSvP0Lplnn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:56783:l4gsAIYaCCsCko4kiQHtMEaAAQYgQSeBLCOgWMCQSQgAMeGiMEhEcIdPSXlRVMadEWYcwDD5ADoAGIgMNQASBASdSRIDGkAM

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Scan History

Scan history not available

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