Security Scan Report: storied-jelly-94f299.netlify.app

Redirected to:
https://storied-jelly-94f299.netlify.app/
Submitted: Sep 21, 2026, 4:51:09 AMCompleted: Sep 21, 2026, 4:51:30 AMpubliccompleted

This website contacted 2 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is storied-jelly-94f299.netlify.app and was registered 8 years ago.

Submitted URL: http://storied-jelly-94f299.netlify.app

Effective URL:

https://storied-jelly-94f299.netlify.app/
Redirected

AI Security Verdict

High Risk

Confidence: 99%

7
Risk Score

This site is named as malicious in threat-intelligence feeds — rated high risk on that basis.

Domain age information unavailable

Details

Page Title

Site not foundsecondary capture

Scan Type

public

Domain Name Analysis

The domain 'storied-jelly-94f299.netlify.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'storied-jelly-94f299'. Count 7 characters in 'netlify' containing two vowels alongside 5 consonants. Word splitting yields 3 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://storied-jelly-94f299.netlify.app

Page Load Overview

0.60s
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 technical49% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
49%
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

T121F1746A9347722BAC4F5C2E43F5B6DEA056A007CCE201D4BBED836862C75F352D642C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TGtwyA2qlRp7rqGyEtZJ3RoXIL2CDoX3rZVnIxMvfwDo+MXiykD:atwyA2q57rJPoX8DoXbZV8MMo+MyD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7511:VohGIJEIelqrEZIDyoCQRCDBrABA5jkAuEkFiGYlKAgKSAG6lxTAmQIDEACVCNEBAIRmQCHQcI08nXCiUbW0VqNAh4AAIIpI

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:3f3f232324240000
Color Hash:#784f3a

Other Hashes

Crop Resistant:00000c0c0c0c0000

Scan History

Scan history not available

Unable to load historical scan data