Security Scan Report: auto-tom.netlify.app

Redirected to:
https://auto-tom.netlify.app/
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Submitted: Completed: publiccompleted
This website contacted 19 IPs in 2 countries across 7 domains to perform 55 HTTP transactions. The main domain is netlify.app and was registered 8 years ago.

Submitted URL: http://auto-tom.netlify.app/

Effective URL:
https://auto-tom.netlify.app/
Redirected

AI Security Verdict

Safe Website

Confidence: 82%

1
Risk Score

Legitimate-looking local auto repair shop page on Netlify. No credential/payment harvesting, brand impersonation, or threat-intel hits found.

Safety Factors (5)
Self-branding matches the domain and contact email domain.
No credential or payment collection fields.
No threat-intelligence, malware, or network IDS findings.
Contact form uses a known form-backend service, not credential exfiltration.
Content reads like a real local automotive repair business.
Domain age information unavailable

Details

Page Title

AUTOM — Kfz-Meisterwerkstatt im Süden Münchens

Scan Type

public

Domain Name Analysis

The domain name 'auto-tom.netlify.app' uses the application-focused generic top-level domain (.app) with subdomain 'auto-tom'. The registrable portion 'netlify' spans 7 characters split between 2 vowels and five consonants. Breaking it apart gives 3 words: net, li, fy. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

© Der AUTOM Start Leistungen KFZ-MEISTERWERKSTATT - MÜNCHEN SUD It geschlossen - Mo-Fr ab 07:00 Uhr # KFZ-MEISTERBETRIEB IM SÜDEN MÜNCHENS Meisterqualität & Sorgfalt. Ihr Auto inbesten Händen. He...

Page Load Overview

1.32s
Total Load Time
1.5 MB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:de
Text Length:6,290 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
1963.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
235.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
2142.251.20.95Google · CDNUnited States
AS15169Google LLC
2142.251.14.94Google · CDNUnited States
AS15169Google LLC
2142.251.14.139Google · CDNUnited States
AS15169Google LLC
2142.251.157.119Google · CDNUnited States
AS15169Google LLC
2142.251.110.94Google · CDNUnited States
AS15169Google LLC
2172.217.114.4Google · CDNUnited States
AS15169Google LLC
2172.217.119.4Google · CDNUnited States
AS15169Google LLC
2172.217.112.4Google · CDNUnited States
AS15169Google LLC
5519--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E023A63194F6117B804B82996B6567BA3F67E253E70E478472AC07E58F83C83DC2756C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:Am5m5kkAku4hz3tYRFePZOC4NbkSt/y5x+hDk8Wu6HkvcW32M:aK7nauyRI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:46366:H1tiSQiQAQgIhCQiQgCOQQAIEUAxPhC7BkCWEbBqtgAOECkiIIACkJItpVA+OLAxOODdB2iAEzGShIoRIEEQEEnpBIUAnKWU

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:ff0120200000007e
Perceptual Hash:82ed9ab8d265c36c
Difference Hash:6bebc7c5c7c9c7d8
Wavelet Hash:ff017363216101ff
Color Hash:39002000180

Scan History

Scan history not available

Unable to load historical scan data