Security Scan Report: pdf-online-sundae-e445e5.netlify.app

Redirected to:
https://pdf-online-sundae-e445e5.netlify.app/
Submitted: Jul 24, 2026, 9:51:42 AMCompleted: Jul 24, 2026, 9:53:02 AMpubliccompleted

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is pdf-online-sundae-e445e5.netlify.app and was registered NaN years ago.

Submitted URL: http://pdf-online-sundae-e445e5.netlify.app/

Effective URL: https://pdf-online-sundae-e445e5.netlify.app/Redirected

AI Security Verdict

High Risk

Confidence: 99%

7
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Domain age information unavailable

Details

Page Title

Site not found

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'pdf-online-sundae-e445e5.netlify.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'pdf-online-sundae-e445e5'. Count 7 characters in 'netlify' with two vowels and five consonants. Tokenizing the label suggests 3 words: net, li, fy. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://pdf-online-sundae-e445e5.netlify.app/

Page Load Overview

0.45s
Total Load Time
3
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
335.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
31--

Page Statistics

3
Requests
1
Unique Domains
3.4 KB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16F6171A9C41A203F6D93681F13A4CA4D60297247DD9147E8FFEA53ACC2DBAF305C2438

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGN6B6mAhmwmEmTywKkQcbxmT90H+mkfdMmS6/An2qnlBYG3q2YZ8ReT3bZUsoXm:TGHwyA2qlRYZJ3RoXI2+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3227:CAAAAEAMQAAAGAAQAAACIgBQAFA0QAIFBCSA4QCgIACAAAAIAEiSEgQIQgAQKCAEIAUgCEAEQAQAAAiAEAAAACAIAAAAAARA

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:00000c0c0c080000
Wavelet Hash:fcfce4e403030f0f
Color Hash:#87b7c5

Other Hashes

Crop Resistant:00000c0c0c080000

Scan History

Scan history not available

Unable to load historical scan data