Security Scan Report: spoc-selector-0nsjuk1i1f.edgeone.app

Submitted: Feb 14, 2026, 5:26:37 PMCompleted: Feb 14, 2026, 5:28:08 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 spoc-selector-0nsjuk1i1f.edgeone.app and was registered NaN years ago.

Submitted URL: https://spoc-selector-0nsjuk1i1f.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: 95%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Well established domain (>2 years)
No malicious Indicators of Compromise matches
No credential or payment forms
No JavaScript malware detected
Risk indicator count is 0
Domain age information unavailable

Details

Page Title

spoc-selector-0nsjuk1i1f.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(43%)

Domain Information

You're looking at domain 'spoc-selector-0nsjuk1i1f.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'spoc-selector-0nsjuk1i1f'. The core label 'edgeone' covers 7 characters split between four vowels and 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://spoc-selector-0nsjuk1i1f.edgeone.app/

Page Load Overview

8.10s
Total Load Time
2
HTTP Requests
1
Domains
1 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:100 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service43% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
43%
technology software
38%
healthcare medical
35%

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

T167048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:nfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszU2bMy8Olda:4hoC9JSqzzbs6o3Sj3gcrsg2eAg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184571:gIQSAgwVh4CA0xkUIxFinhmb4EE0ZI4MAIZWQlQQSKA0JIIAuAIhlj4ARSEoPBjAMDIQaKCACAEJLYRIOg4BAYUrKFYmxDUx

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:ffcfc3c7ffffffff
Perceptual Hash:b131cccccc676363
Difference Hash:00180c1400000000
Wavelet Hash:3f1f030f00000000
Color Hash:#d2bb79

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data