Security Scan Report: friendly-begonia-f88ae0docspdfx.netlify.app

Submitted: Aug 15, 2026, 9:51:06 PMCompleted: Aug 15, 2026, 9:52:26 PMpubliccompleted

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is friendly-begonia-f88ae0docspdfx.netlify.app and was registered NaN years ago.

Submitted URL: https://friendly-begonia-f88ae0docspdfx.netlify.app/

AI Security Verdict

High Risk

Confidence: 99%

7
Risk Score

Google Safe Browsing flags this site as dangerous — rated high risk on that basis.

Domain age information unavailable

Details

Page Title

Site not found

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(25%)

Domain Information

Domain 'friendly-begonia-f88ae0docspdfx.netlify.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'friendly-begonia-f88ae0docspdfx'. Its registrable label 'netlify' stretches across 7 characters split between 2 vowels and five consonants. Segmentation suggests three words: net, li, fy. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of friendly-begonia-f88ae0docspdfx.netlify.app

Page Load Overview

0.21s
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

technology software25% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
235.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
21--

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

T1616161A9D41A203F6D97A81F13A4CA4D60297607DC9157D8FFEA53ACD2DBAF305C2428

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGN6B6mAhmwmEmTywKkQcbxmT90H+mkfdMmS6/An2qnlBYG3q2YZ8ReT3bZUsoXA:TGHwyA2qlRYZJ3RoXIk+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3227:CAAAAEAMQAAAGAAQAAACIgBQAFA0QAIFBCSA4QCgIACAAAAIAEiSEgQIQgAQKCAEIAUACEAEQAQAAAiAEAAAACAIAAAAAARA

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:fcfce4e424243c3c
Color Hash:#d8e06c

Other Hashes

Crop Resistant:00000c0c0c080000

Scan History

Scan history not available

Unable to load historical scan data