Security Scan Report: repaymentlinksrepays-rs1jez9g9p.edgeone.app

Submitted: Feb 24, 2026, 1:16:10 PMCompleted: Feb 24, 2026, 1:17:19 PMpubliccompleted
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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 repaymentlinksrepays-rs1jez9g9p.edgeone.app and was registered NaN years ago.

Submitted URL: https://repaymentlinksrepays-rs1jez9g9p.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

Page shows a simple loan repayment interface with no malicious indicators; low risk overall.

Risk Factors
Subdomain on hosting platform with unknown creation date
Low domain ranking (455,732) indicating limited reputation
Safety Factors
No password or payment fields present
No malicious Indicators of Compromise detected
No JavaScript malware patterns detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

Repayment link

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(68%)

Domain Information

Domain 'repaymentlinksrepays-rs1jez9g9p.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'repaymentlinksrepays-rs1jez9g9p'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus three consonants. Tokenizing the label suggests 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://repaymentlinksrepays-rs1jez9g9p.edgeone.app/

Page Load Overview

1.26s
Total Load Time
2
HTTP Requests
1
Domains
4 KB
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:614 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking68% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

finance banking
68%
government public service
37%
adult content
34%
documentation technical
29%
healthcare medical
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F482526A76B311226943A4A53BA79B073660D107C44AC6187F9C17D4CFCEE82FDA778C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:0ViLnfRqciPagagKqnio4qsu03VuwuUMSTRnOpzF8KsfwKUj45uHsJq32x2F0iB8:oFFXu8F4F8gEBEqKFTvqc7JQyv2Vvi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18002:hKRgCij8GEBIJSFSKgCBIZBLJFVGWQMkIqAE6sAQSks3WFbFiKGGailmigUBHMhwAuQAQK02DAhiwFQwqSECnEoAoFQAEcMh

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:e7fffff7e7efffff
Perceptual Hash:e699992666999966
Difference Hash:4c3232244d483000
Wavelet Hash:00181818070f3f3f
Color Hash:#87c58f

Other Hashes

Crop Resistant:4c3232244d483000

Scan History

Scan history not available

Unable to load historical scan data