Security Scan Report: opennewpageallocation-ui.netlify.app

Submitted: Sep 4, 2026, 7:50:30 PMCompleted: Sep 4, 2026, 7:53:07 PMpubliccompleted

Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is opennewpageallocation-ui.netlify.app and was registered 8 years ago.

Submitted URL: https://opennewpageallocation-ui.netlify.app/

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 found

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'opennewpageallocation-ui.netlify.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'opennewpageallocation-ui'. The second-level label 'netlify' is 7 characters long holding 2 vowels versus five consonants. Tokenizing the label suggests three words: net, li, fy. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://opennewpageallocation-ui.netlify.app/

Page Load Overview

5.49s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:312 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

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--

Page Statistics

2
Requests
1
Unique Domains
3.4 KB
Total Size

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B26161A9D41A203F6D97A81F13A4CA4D60297507DC9247D8FFAA53ACC2DBAF305C2438

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nGN6B6mAhmwmEmTywKkQcbxmT90H+mkfdMmS6/An2qnlBYG3q2YZ8ReT3bZUsoXW:nGHwyA2qlRYZJ3RoXIq+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3212:AAQAQARQIAEAACEBIACEICAAAIAAAQQJwAggRAAQACYAICEEgAAWAhAAIAQQAAAgACAAAQgAAAAAAAEIsAgBAAAAAMQACECC

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:b324cc9b336c9933
Difference Hash:0000080c0c080000
Wavelet Hash:f0f0e4e4e0e0f0f0
Color Hash:#c587c3

Other Hashes

Crop Resistant:0000080c0c080000

Scan History

Scan history not available

Unable to load historical scan data