Security Scan Report: porscheauth.app

Redirected to:
https://porscheauth.app/lander
Submitted: Sep 24, 2026, 11:12:52 PMCompleted: Sep 24, 2026, 11:14:21 PMpubliccompleted

This website contacted 11 IPs in 3 countries across 5 domains to perform 23 HTTP transactions. The main domain is porscheauth.app and was registered 19 years ago.

Submitted URL: https://porscheauth.app

Effective URL:

https://porscheauth.app/lander
Redirected

AI Security Verdict

Low Risk

Confidence: 65%

2
Risk Score

Inactive GoDaddy parked domain with no forms, no impersonation content, and no threat-intel or malware hits. The suggestive domain name is the only weak concern; nothing malicious is served.

Risk Factors
Domain name porscheauth.app suggests potential brand-squatting on Porsche, though the page serves no impersonating content
Safety Factors
No active content — parked placeholder page only
No forms or credential/payment capture of any kind
No threat-intelligence, JavaScript malware, or IDS matches
No brand impersonation presented in page content (displays GoDaddy parking, not Porsche)
Established domain age (>3 years)
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

Domain 'porscheauth.app' uses the application-focused generic top-level domain (.app) with no subdomain. The registrable portion 'porscheauth' spans 11 characters holding 4 vowels versus seven consonants. Segmentation suggests three words: porsche, au, th. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://porscheauth.app

Page Load Overview

6.45s
Total Load Time
328 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:527 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software60% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
60%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
33.33.130.190Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
215.197.148.33Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
223.53.42.211Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
223.53.42.160Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
23.108.209.34Aws · CLOUDMumbai, Maharashtra, India
AS16509Amazon.com, Inc.
2184.30.208.203Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
252.222.236.60Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
252.222.236.71Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
213.126.162.219Aws · CLOUDMumbai, Maharashtra, India
AS16509Amazon.com, Inc.
252.222.236.107Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2311--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T119B25DFA6B5011BAF06283EEE511B99DB663B06DFF83CE40E2A85D5072D3C1D58049DE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:FlARZeJ+gPr6ivfNXIT3R+RDM+GpYsg9BP6YdEjYznGIWYOmhEUDL4O5PeLGE1pU:gI/uHw16YdEkaH9UaXE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:24519:AjfMChIoM0UAtOQwBrigAAKEwICIIXxjiotJqFJ5LgoiREIFISUAAA42rMABCg1wgIjZp2IADwTmmjUhkFKCEMjJYURwQQEH

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:ffd9e7e7e7e7e7e7
Perceptual Hash:f3c9888886b6b6b6
Difference Hash:b2330c0e0c0c0c0c
Wavelet Hash:7e99c3c3c2c2c3c3
Color Hash:#8dd22d

Other Hashes

Crop Resistant:b2330c0e0c0c0c0c

Scan History

Scan history not available

Unable to load historical scan data