Security Scan Report: payable-orange-2idmysjobs-vj0gsy68ub.edgeone.app

Submitted: Feb 25, 2026, 12:05:36 PMCompleted: Feb 25, 2026, 12:06:47 PMpubliccompleted
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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 payable-orange-2idmysjobs-vj0gsy68ub.edgeone.app and was registered NaN years ago.

Submitted URL: https://payable-orange-2idmysjobs-vj0gsy68ub.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No suspicious activity detected; the site appears legitimate.

Safety Factors
No credential or payment collection fields
Hosted on a known platform (edgeone.app) with no suspicious activity
Page title and OCR text indicate a simple file collection page
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(73% confidence)

Category

government public service

(31%)

Domain Information

The domain 'payable-orange-2idmysjobs-vj0gsy68ub.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'payable-orange-2idmysjobs-vj0gsy68ub'. Its registrable label 'edgeone' stretches across 7 characters containing 4 vowels alongside 3 consonants. Tokenizing the label suggests two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://payable-orange-2idmysjobs-vj0gsy68ub.edgeone.app/

Page Load Overview

0.90s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:73%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:73%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:68 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

government public service31% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
31%
documentation technical
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

T1CF02C6CAEB9706C9A82BC4682FFF5724222DE057C449CD5DB99E0F548F0518875EA3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBGh1RaXQl:KrzhNK/lMHmGgdkqfd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8730:YUUC1ngiRQMQtBUcCU2IlIAmSACMDQUAMHIJAABCiDLwAYEYEMZ0wwKAHYdCQNaAgTicVQQmSEJaFAhBYIIGCCoDODaWACEh

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:dcfcfce0e0e0c0c0
Perceptual Hash:d89a983c6c6567c3
Difference Hash:3030100000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#3a7841

Other Hashes

Crop Resistant:3030100000000000

Scan History

Scan history not available

Unable to load historical scan data