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Security Scan Report: earn-forseconds-lf4ueaism9.edgeone.app

Submitted: Mar 9, 2026, 10:26:47 AMCompleted: Mar 9, 2026, 10:28:07 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 4 HTTP transactions. The main domain is earn-forseconds-lf4ueaism9.edgeone.app and was registered NaN years ago.

Submitted URL: https://earn-forseconds-lf4ueaism9.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: 78%

5
Risk Score

New subdomain on a hosting platform with no obvious malicious content; moderate risk.

Risk Factors
Subdomain on hosting platform with unknown creation date (moderate suspicion)
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware patterns
No network IDS alerts
Page title does not impersonate a known brand
Domain age information unavailable

Details

Page Title

earn for Second

Scan Type

public

Language

🇰🇷

Korean

(60% confidence)

Category

finance banking

(50%)

Domain Information

You're looking at domain 'earn-forseconds-lf4ueaism9.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'earn-forseconds-lf4ueaism9'. The registrable portion 'edgeone' spans 7 characters containing four vowels alongside 3 consonants. Segmentation 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://earn-forseconds-lf4ueaism9.edgeone.app/

Page Load Overview

0.81s
Total Load Time
4
HTTP Requests
2
Domains
2.0 MB
Total Size

Language Analysis

Primary Language

🇰🇷Korean
Code: ko
Confidence:60%
Script:Hangul
Direction:ltr

Detection Details

Language Code:ko
Detection Confidence:60%
Script Type:Hangul
HTML Lang Attribute:ko
Text Length:67 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking50% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
50%
healthcare medical
39%
adult content
32%
government public service
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2142.251.140.170United States
AS15169
243.152.26.58Singapore
AS139341ACE
42--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10F51339637A308517667866477F7E32A35589403950EC9783FAC9380CFC69A0D2A7B8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:eXlW9dX8ujrI9AWJtL5ZUqHl98ckQx7J6P2DFgGKL+OHBdGKLeCQm:esRXcJ5KqF98c1qGZANj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3094:IAIAAQgBAABCQFAAQxAAAgAAAKgAQwAAAAEBwZAISAAACBAABCAMAaACAABADCACDQxgGBAAIGwEIAIQAgQABICgAIJgAAQA

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:cfcfcfefe7ffffff
Perceptual Hash:b331996666cccc66
Difference Hash:1018101008000000
Wavelet Hash:ccc0c0cce4fcf0f0
Color Hash:#6053ac

Other Hashes

Crop Resistant:1018101008000000

Scan History

Scan history not available

Unable to load historical scan data