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

Redirected to:
https://friendly-begonia-f88ae0docspdfx.netlify.app/
Submitted: Jul 26, 2026, 12:45:45 AMCompleted: Jul 26, 2026, 12:51:03 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is friendly-begonia-f88ae0docspdfx.netlify.app and was registered NaN years ago.

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

Effective URL: https://friendly-begonia-f88ae0docspdfx.netlify.app/Redirected

AI Security Verdict

Confirmed Scam

Confidence: 88%

9
Risk Score

Page impersonates Adobe, hosts a credential‑stealing login form, and triggers Safe Browsing phishing alerts – treat as confirmed scam.

Risk Factors
Unranked subdomain on hosting platform
Brand impersonation of a major brand (Adobe)
Credential collection via login form
Safe Browsing social engineering flag
Domain age information unavailable

Details

Page Title

A.d.o.b.e | Edit - Sign - View

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

technology software

(90%)

Domain Information

You're looking at domain 'friendly-begonia-f88ae0docspdfx.netlify.app' on the application-focused generic top-level domain (.app) with subdomain 'friendly-begonia-f88ae0docspdfx'. The core label 'netlify' covers 7 characters split between 2 vowels and 5 consonants. Splitting it apart reveals 3 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 http://friendly-begonia-f88ae0docspdfx.netlify.app/

Page Load Overview

10.60s
Total Load Time
24
HTTP Requests
3
Domains
279 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:472 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software90% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
90%
download file sharing
80%
documentation technical
71%
corporate business
66%
government public service
47%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2435.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
241--

Page Statistics

24
Requests
3
Unique Domains
282.5 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

T1D4617406985E942B4053A8E4B3B15B2D64C0C92BEA134F0472FED7AF27D4EC6CD2796D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:4PbZIccIoh1a/cdSPDdGMHpmLDMcqnELC:4PSoVPDdlHpmfMZnELC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3339:DoFABIAAAIACCQABBAgAKAFiUAAAAAQQKASAMWQAoEAAAwAAAAggCEAEGEhAAABEBUEAIAAJQxRQoBgEAQAABQBQAgBQABAC

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:5bc7e7e7f7ffffff
Perceptual Hash:b3339c8c8d998967
Difference Hash:320d4d0c08000000
Wavelet Hash:0080818181ffffff
Color Hash:#e0e06c

Other Hashes

Crop Resistant:320d4d0c08000000

Scan History

Scan history not available

Unable to load historical scan data