Security Scan Report: claim-qcx.netlify.app

Redirected to:
https://claim-qcx.netlify.app/
Submitted: Aug 28, 2026, 6:50:40 PMCompleted: Aug 28, 2026, 6:52:00 PMpubliccompleted

Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is claim-qcx.netlify.app and was registered 8 years ago.

Submitted URL: http://claim-qcx.netlify.app/

Effective URL: https://claim-qcx.netlify.app/Redirected

AI Security Verdict

Not Assessed

This page returned an error rather than content, so there was nothing to assess. This is not a statement that the site is safe.

Error or status pages carry no content to analyse. The site may still be active on another path.

Details

Page Title

Site not found

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'claim-qcx.netlify.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'claim-qcx'. The core label 'netlify' covers 7 characters holding 2 vowels versus 5 consonants. Breaking it apart gives three 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 claim-qcx.netlify.app

Page Load Overview

0.64s
Total Load Time
3
HTTP Requests
1
Domains
3 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:312 chars
Detector Agreement:100%

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
263.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
135.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
32--

Page Statistics

3
Requests
1
Unique Domains
3.4 KB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D76162A9C41A203F6D97A81F13A4CA4D60297507DD9147D8FFEA53ACC2DBAF305D2438

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nGN6B6mAhmwmEmTywKkQcbxmT90H+mkfdMmS6/An2qnlBYG3q2YZ8ReT3bZUsoXl:nGHwyA2qlRYZJ3RoXIR+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3212:AAQAQARQIAEAACEBIACEICAAAIAAAQQJwAggRAAQACYAIiEEgAAWABAAIAQQAAAgACAAAYgAAAAAAAEIsAgBAAAAAMQACECC

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:ffffe7e7e7e7ffff
Perceptual Hash:b326cc99336c9933
Difference Hash:0000080c0c080000
Wavelet Hash:3f3f272704040c0c
Color Hash:#93331f

Other Hashes

Crop Resistant:0000080c0c080000

Scan History

Scan history not available

Unable to load historical scan data