Security Scan Report: claim-nq.netlify.app

Redirected to:
https://claim-nq.netlify.app/
Submitted: Aug 28, 2026, 8:50:15 PMCompleted: Aug 28, 2026, 8:52:10 PMpubliccompleted

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is claim-nq.netlify.app and was registered 8 years ago.

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

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

AI Security Verdict

Safe Website

Confidence: 70%

1
Risk Score

Page shows only a redirect message with no forms, brand claims, or malicious indicators.

Safety Factors
No malicious content or behavior detected
Page displays only a simple redirect message
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

Within the application-focused generic top-level domain (.app), 'claim-nq.netlify.app' is registered; it also runs on subdomain 'claim-nq'. The registrable portion 'netlify' spans 7 characters split between two vowels and five consonants. Word splitting yields three words: net, li, fy. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of claim-nq.netlify.app

Page Load Overview

0.27s
Total Load Time
3
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:13 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
335.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
31--

Page Statistics

3
Requests
1
Unique Domains
0.5 KB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A69002F9A09120096C2035A40CD513420E2546542009BA19599025A4881851D886218A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxQXbZ63agz:qzxO9631z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:d93ab1e3ea0494bf970c3b031a646259

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:7fffffffffffffff
Perceptual Hash:87070707070f1f7f
Difference Hash:8000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#6e3a78

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

Unable to load historical scan data