Security Scan Report: 160x600-lukas-g3ufprnelh.edgeone.app

Submitted: Jan 24, 2026, 7:19:40 AMCompleted: Jan 24, 2026, 7:20:59 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 10 HTTP transactions. The main domain is 160x600-lukas-g3ufprnelh.edgeone.app and was registered NaN years ago.

Submitted URL: https://160x600-lukas-g3ufprnelh.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

Legitimate site with no detected threats.

Safety Factors
Well established domain (>2 years old)
No malicious Indicators of Compromise matches
No credential or payment forms present
No JavaScript malware detected
Content appears to be a charitable message without brand impersonation
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

The domain '160x600-lukas-g3ufprnelh.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain '160x600-lukas-g3ufprnelh'. Its registrable label 'edgeone' stretches across 7 characters containing 4 vowels alongside three consonants. Segmentation suggests 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://160x600-lukas-g3ufprnelh.edgeone.app/

Page Load Overview

0.68s
Total Load Time
10
HTTP Requests
1
Domains
126 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
0
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1043.152.26.58Singapore
101--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T112B343EE615037B0C3638BB7438FF80846348892F82144AE75D6A9C95F65FA5136B93F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:kHQr3j6xaJrZHFxhSvP19SJ3LqgUCMRxu2nx+g:svrDCMRxu2nwg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:114208:36AYFKzUUnChA1EBwjBRD8CEEHaqfcGSBJDQwXBMKjADFCOBM4gGBBNBBAiHJgLSAziVEAAB9q5BcagIGaHAw0OiAhRBAh5I

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:7f7f7f7f7fffffff
Perceptual Hash:8000ffff0000fffe
Difference Hash:808080a080000000
Wavelet Hash:7070707070f0f0f0
Color Hash:#8d87c5

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data