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Security Scan Report: slftracker-5197ymsuha.edgeone.app

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Submitted: May 8, 2026, 8:04:01 AMCompleted: May 8, 2026, 8:05:23 AMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 9 domains to perform 23 HTTP transactions. The main domain is slftracker-5197ymsuha.edgeone.app and was registered NaN years ago.

Submitted URL: https://slftracker-5197ymsuha.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 75%

5
Risk Score

The site is a newly created subdomain on edgeone.app with a brand claim, low reputation and heavily obfuscated JavaScript, but no malicious indicators; moderate risk.

Risk Factors
Unknown subdomain age
Brand claim on low‑reputation domain
Critical JavaScript obfuscation
Low domain ranking in Cisco Umbrella
Safety Factors
No login, payment, or credential collection forms
No Indicators of Compromise matched
No network IDS alerts
No malicious external links detected
Hosted on a reputable platform (edgeone.app)
Domain age information unavailable

Details

Page Title

SLF Tracker Pro - ระบบจัดการหนี้ กยศ.

Scan Type

public

Language

🇹🇭

TH

(80% confidence)

Category

finance banking

(57%)

Domain Information

Domain 'slftracker-5197ymsuha.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'slftracker-5197ymsuha'. The registrable portion 'edgeone' spans 7 characters with four vowels and three consonants. Tokenizing the label suggests 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://slftracker-5197ymsuha.edgeone.app/

Page Load Overview

1.35s
Total Load Time
26
HTTP Requests
9
Domains
445 KB
Total Size

Language Analysis

Primary Language

🇹🇭Thai
Code: th
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:th
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:th
Text Length:703 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking57% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
57%
education learning
56%
government public service
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.251.110.94United States
AS15169Google LLC
3104.26.3.143United States
AS13335Cloudflare, Inc.
3104.17.208.5United States
AS13335Cloudflare, Inc.
343.152.26.58Singapore
AS139341ACE
3104.18.0.22United States
AS13335Cloudflare, Inc.
3142.251.110.95United States
AS15169Google LLC
3172.66.145.46United States
AS13335Cloudflare, Inc.
3104.21.83.69United States
AS13335Cloudflare, Inc.
268--

Detected Technologies4

Tailwind CSS
30%
jsDelivr
20%
Unpkg
20%
Drupal
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B583C96A71B1003B1C9340FAE657BE49B639A5C3FE1ADAF9B98C41005FD2E62CC97744

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:LP0XTDgFnMXYepnTuheKYlF+WbQa4lQFWbQmN2PeHWkGu09KmOsYstH1B/+EO/mp:PhhHuoN2n+xrbU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:87012:IhqVhYQyKK6MVGchACCBWoCD4GSqhAMYSSAVAnlBKgAEQWF6EDAJCAcApliEenAmJAWBAghoJUxwKAdIJBhcGaBOQoVCAp0I

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:1818180018181818
Perceptual Hash:9933cccc3333cccc
Difference Hash:3232322a32323232
Wavelet Hash:1b1b1b1b1b1b1b1b
Color Hash:#406cbf

Other Hashes

Crop Resistant:3232322a32323232

Scan History

Scan history not available

Unable to load historical scan data