Security Scan Report: gbiv.netlify.app

Redirected to:
https://gbiv.netlify.app/
Submitted: Sep 19, 2026, 3:51:25 AMCompleted: Sep 19, 2026, 3:51:49 AMpubliccompleted

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

Submitted URL: http://gbiv.netlify.app/

Effective URL:

https://gbiv.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

You're looking at domain 'gbiv.netlify.app' on the application-focused generic top-level domain (.app) with subdomain 'gbiv'. The registrable portion 'netlify' spans 7 characters holding 2 vowels versus five consonants. Segmentation suggests three words: net, li, fy. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://gbiv.netlify.app/

Page Load Overview

2.34s
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 technical47% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
47%
technology software
47%
corporate
25%

Detected Features

OG: website

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--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T154F1635A9347722BAC4F5C2E83F5B6CEA056A007C9E201D4BBED836862C75F352D642C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TGYwyA2qlRp7rqGyEtZJ3RoXIB9CDoX3rZVnIxMvfwDo+MXiyky:aYwyA2q57rJPoX5DoXbZV8MMo+Myy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7463:YAwmIJBFODinAZcCShicISCAmCGRtilSEEEDjZgCKYjoYAESDxiMEQYzEgyVjEABAAJRUABDUsAuXEAhgaIwTsFqAZCgOEKA

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:b399cc6633c43399
Difference Hash:00000c0c0c0c0000
Wavelet Hash:3f3f070704040c0c
Color Hash:#9fac53

Other Hashes

Crop Resistant:00000c0c0c0c0000

Scan History

Scan history not available

Unable to load historical scan data