Security Scan Report: claim-fn2.netlify.app

Submitted: Sep 19, 2026, 11:50:28 PMCompleted: Sep 19, 2026, 11:50:50 PMpubliccompleted

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

Within the application-focused generic top-level domain (.app), 'claim-fn2.netlify.app' is registered and includes subdomain 'claim-fn2'. Its registrable label 'netlify' stretches across 7 characters split between 2 vowels and five consonants. It segments into three words: net, li, fy. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://claim-fn2.netlify.app/

Page Load Overview

0.23s
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

documentation technical48% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
48%
technology software
46%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
163.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
135.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
22--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ACF1625A9347722BAC5F5D2E83F5B6CEA056A007CCE201D4BBED836862C75F352D642C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TGvwyA2qlRp7rqGyEtZJ3RoXIL3WmCDoX3rZVnIxMvfwDo+MXiykV:avwyA2q57rJPoX82DoXbZV8MMo+MyV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7478:BgUCBKIwBEEgAQCgQiGCFBkIhBgHxdEgEAYwtBgDaAgpwZkBQIyATTBBBEjQ5gCciADQJESDjAwrjAIMYYymQAAASrFCBGKi

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:3f3f272724240c0c
Color Hash:#1f6793

Other Hashes

Crop Resistant:00000c0c0c0c0000

Scan History

Scan history not available

Unable to load historical scan data