ScanMalware.com

SCAN INCOMPLETE - LIMITED DATA COLLECTED

There were problems collecting data from this website

The website may be blocking automated browsers (bot protection)
The site may be using geo-blocking or rate limiting
Network connectivity issues may have prevented access

LIMITED DATA

Note: There were problems collecting data during this scan, and some information may be missing or incomplete. The security analysis below is based on limited information and may not be accurate. Consider trying the scan again.

Security Scan Report: jolly-conkies-94ce7f.netlify.app

Submitted: Jun 29, 2026, 5:32:33 AMCompleted: Jun 29, 2026, 5:34:02 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is jolly-conkies-94ce7f.netlify.app and was registered NaN years ago.

Submitted URL: https://jolly-conkies-94ce7f.netlify.app/

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 403 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

403 Access Denied

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(51%)

Domain Information

Domain 'jolly-conkies-94ce7f.netlify.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'jolly-conkies-94ce7f'. The core label 'netlify' covers 7 characters containing two vowels alongside 5 consonants. Word splitting yields 3 words: net, li, fy. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jolly-conkies-94ce7f.netlify.app/

Page Load Overview

0.27s
Total Load Time
2
HTTP Requests
1
Domains
N/A
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

healthcare medical51% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
51%
government public service
50%
news media journalism
50%
adult content
47%
cryptocurrency blockchain
45%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
263.176.8.218Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
21--

Detected Technologies2

Netlify
40%
HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FFF0D343D581100AE85291942D5273106744C99AD38BDA683C4E759DCB8E75191EB79C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hRB5y70mJUXf/9JnbP5wN1IXYmRfPuziAlf4xIRu2F5EABQNxvgM+j:hRB5C0YU/LbBw1IIuf4i6BRu2FehNxve

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:655:AAAAABAAKAEAAACAAAAAAABAAAAgAAAAAAAAAAEAAAAAAAAAgAAAAAAAAAACAAAAIAAAAAAAAAAAAAAgABACAAAAAAAAAAAA

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:ffffffe7e7ffffff
Perceptual Hash:e62399cc663399cc
Difference Hash:0000304c4c300000
Wavelet Hash:c3c3cbc3c0d0cccc
Color Hash:#79d27c

Other Hashes

Crop Resistant:0000304c4c300000

Scan History

Scan history not available

Unable to load historical scan data