Security Scan Report: outceb.netlify.app

Submitted: Sep 17, 2026, 5:50:04 AMCompleted: Sep 17, 2026, 5:50:32 AMpubliccompleted

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

The domain 'outceb.netlify.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'outceb'. The registrable portion 'netlify' spans 7 characters split between 2 vowels and five consonants. Splitting it apart reveals three words: net, li, fy. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://outceb.netlify.app/

Page Load Overview

5.76s
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 software49% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
49%
documentation technical
47%
corporate
25%

Detected Features

OG: website

Domain & IP Information

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

T14DF1645A9347722BAC4F5C2E43F5B6CEA056A007C9E201D4BBED836862C75F352D653C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TGgwyA2qlRp7rqGyEtZJ3RoXI/dCDoX3rZVnIxMvfwDo+MXiykK:agwyA2q57rJPoX3DoXbZV8MMo+MyK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7469:B1CIPIMGTyBhiokmcgJKGBIAWAkomAVhEQOAwsE0NJlAAgEoESSKCUitAJKAAgkmBYDEAC1wCgSpADmCWZ5AghQTSOgE1Doo

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:b399cc2633cc3399
Difference Hash:00000c0c0c0c0000
Wavelet Hash:3f3f070707070f0f
Color Hash:#931f76

Other Hashes

Crop Resistant:00000c0c0c0c0000

Scan History

Scan history not available

Unable to load historical scan data