Security Scan Report: claim-09.netlify.app

Redirected to:
https://claim-09.netlify.app/
Submitted: Sep 4, 2026, 10:51:01 PMCompleted: Sep 4, 2026, 10:54:14 PMpubliccompleted

This website contacted 2 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is claim-09.netlify.app and was registered 8 years ago.

Submitted URL: http://claim-09.netlify.app/

Effective URL:

https://claim-09.netlify.app/
Redirected

AI Security Verdict

Low Risk

Confidence: 60%

5
Risk Score

Heuristic analysis (AI unavailable): Standard risk profile

Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

The domain name 'claim-09.netlify.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'claim-09'. The core label 'netlify' covers 7 characters holding two vowels versus 5 consonants. Breaking it apart gives 3 words: net, li, fy. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://claim-09.netlify.app/

Page Load Overview

6.15s
Total Load Time
1 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

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
235.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
163.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
32--

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:#86802d

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

Unable to load historical scan data