Security Scan Report: claim-dmu.netlify.app

Redirected to:
https://claim-dmu.netlify.app/
Submitted: Sep 19, 2026, 10:50:45 PMCompleted: Sep 19, 2026, 10:51:17 PMpubliccompleted

This website contacted 2 IPs in 1 country across 1 domain to perform 3 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

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 foundsecondary capture

Scan Type

public

Domain Name Analysis

Domain 'claim-dmu.netlify.app' uses the application-focused generic top-level domain (.app) with subdomain 'claim-dmu'. The second-level label 'netlify' is 7 characters long containing 2 vowels alongside five consonants. It segments into 3 words: net, li, fy. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.54s
Total Load Time
8 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:368 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software50% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
50%
documentation technical
50%
corporate
25%

Detected Features

OG: website

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--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15AF1655A9347722BAC4F5C2E43F5B6CEA05AA107CCE201D4BBED836862C75F352D652C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TGHwyA2qlRp7rqGyEtZJ3RoXIqLeCDoX3rZVnIxMvfwDo+MXiykV:aHwyA2q57rJPoXdDoXbZV8MMo+MyV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7478:BgECBKIwBGEgAQCgQiGCFBkIhBgHxdEgEAYwtBgDaAgpwZkBQIyATTBBBFjQ5hCciADQBESDjAwjjAIMYYjmQAAASrFCDGKi

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:b399cc6633643399
Difference Hash:00000c0c0c0c0000
Wavelet Hash:3f3f070724243c3c
Color Hash:#ac6553

Other Hashes

Crop Resistant:00000c0c0c0c0000

Scan History

Scan history not available

Unable to load historical scan data