Security Scan Report: vocal-conkies-c4178a.netlify.app

Submitted: May 31, 2026, 4:12:08 AMCompleted: May 31, 2026, 4:14:20 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is vocal-conkies-c4178a.netlify.app and was registered NaN years ago.

Submitted URL: https://vocal-conkies-c4178a.netlify.app/

AI Security Verdict

Low Risk

Confidence: 65%

2
Risk Score

The site shows low risk with no malicious activity, but its unranked Netlify subdomain and unknown age warrant caution.

Risk Factors
Unranked domain reputation
Unknown subdomain age
Safety Factors
No credential or payment collection forms
No malicious indicators or IDS alerts
Domain age information unavailable

Details

Page Title

Redirecting...

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

Domain 'vocal-conkies-c4178a.netlify.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'vocal-conkies-c4178a'. The registrable portion 'netlify' spans 7 characters holding two vowels versus 5 consonants. Word splitting yields 3 words: net, li, fy. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vocal-conkies-c4178a.netlify.app/

Page Load Overview

0.81s
Total Load Time
3
HTTP Requests
2
Domains
1 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:14 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
235.157.26.135Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
1109.230.233.85Germany
AS197071active 1 GmbH
32--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T136E0CDA728119D0E4770F5B028D3F354D15F5494A5459F92C08134675D68FD9CE43256

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:h4QW3t9Y9MRJVCNOGLbZSialqQk5/0MzXcVDLbZSia8ydMWXfGb:hPgSMxCtHf/LzXcVtHFydMWPGb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:ea05859a4d17c5c1ddc610eb7e425ae3

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data