Security Scan Report: claim-dmu.netlify.app

Redirected to:
https://claim-dmu.netlify.app/
Submitted: Aug 22, 2026, 6:50:24 PMCompleted: Aug 22, 2026, 6:54:05 PMpubliccompleted

Summary

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

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

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

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

No concrete malicious evidence; low risk but unknown subdomain age warrants caution.

Safety Factors
No malicious signals detected
No form-based data collection
No brand impersonation
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

Domain 'claim-dmu.netlify.app' uses the application-focused generic top-level domain (.app) with subdomain 'claim-dmu'. The registrable portion 'netlify' spans 7 characters split between 2 vowels and five consonants. Splitting it apart reveals 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 claim-dmu.netlify.app

Page Load Overview

1.87s
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
0.9 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:#6ce0ad

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

Unable to load historical scan data