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

Submitted: Jul 10, 2026, 1:50:04 PMCompleted: Jul 10, 2026, 1:51:17 PMpubliccompleted

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

High‑risk brand‑impersonation site collecting Adobe credentials on an unknown Netlify subdomain.

Risk Factors (3)
Unranked hosting subdomain
Login form on brand‑impersonating page
Safe Browsing social‑engineering detection
Domain age information unavailable

Details

Page Title

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

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'friendly-begonia-f88ae0docspdfx.netlify.app' is registered, featuring subdomain 'friendly-begonia-f88ae0docspdfx'. The registrable portion 'netlify' spans 7 characters with 2 vowels and 5 consonants. It segments into 3 words: net, li, fy. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://friendly-begonia-f88ae0docspdfx.netlify.app/

Page Load Overview

3.60s
Total Load Time
170 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

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
2135.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
211--

Detected Technologies4

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:#783a4a

Other Hashes

Crop Resistant:320d4d0c08000000

Scan History

Scan history not available

Unable to load historical scan data