Security Scan Report: reg2.sut.ac.th

Redirected to: https://reg2.sut.ac.th/registrar/home.asp?Serv=5&?avs=46074.5089814815

Submitted: Feb 21, 2026, 5:12:41 AMCompleted: Feb 21, 2026, 5:14:17 AMpubliccompleted
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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 reg2.sut.ac.th and was registered NaN years ago.

Submitted URL: https://reg2.sut.ac.th

Effective URL: https://reg2.sut.ac.th/registrar/home.asp?Serv=5&?avs=46074.5089814815Redirected

The Cisco Umbrella rank of the primary domain is #443,670 of the top 1 million websites

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

reg2.sut.ac.th

Scan Type

public

Language

🇹🇭

TH

(86% confidence)

Category

education learning

(48%)

Domain Information

The domain name 'reg2.sut.ac.th' uses the Thai country-code top-level domain (.ac.th); it also runs on subdomain 'reg2'. The registrable portion 'sut' spans 3 characters holding 1 vowel versus two consonants. Word splitting yields two words: s, ut. Expect 1.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://reg2.sut.ac.th

Page Load Overview

14.98s
Total Load Time
61
HTTP Requests
2
Domains
1.1 MB
Total Size

Language Analysis

Primary Language

🇹🇭Thai
Code: th
Confidence:86%
Script:Unknown
Direction:ltr

Detection Details

Language Code:th
Detection Confidence:86%
Script Type:Unknown
Text Length:10,534 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning48% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
48%
documentation technical
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
61203.158.0.202Nakhon Ratchasima, Nakhon Ratchasima, Thailand
AS55545Suranaree University of Technology
611--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F43373733288956AD949005B71147BCA9991BDD47B73FCE09EDA508E91F072EC022FE7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:iHymC2sXetaV3/qL0Qxcpt77DGvx5cYC8UQCBQ9sCv01d0933DOmp0py4lJTA95Z:iHdNTFkRIWXC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:53965:UYgAiQAAqNJHIVsBGSGWIEYEiE4qJSoBg4BACmABYAyIiGwwiL5AQAAgTQSgiJbOB5LRAjIkIqowAxDCBFOlnUI2IgLAjEGE

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:6f7f007f7f7f7f7f
Perceptual Hash:807fb18181967a7f
Difference Hash:9898bdf0f8ecf8b0
Wavelet Hash:0f0f001f0f1f1f1f
Color Hash:#c587a0

Scan History

Scan history not available

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