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Security Scan Report: www.not-enought-feeding-animals.vercel.app

Redirected to:
https://www.google.com/
Site favicon
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/c8e8857c-2500-47f7-9fef-529baa0e76d9Domain and IP registration (RDAP)/api/v1/rdap/c8e8857c-2500-47f7-9fef-529baa0e76d9How often this domain was scanned/api/v1/domain/stats/not-enought-feeding-animals.vercel.appScan history for this domain/api/v1/domain/history/not-enought-feeding-animals.vercel.app?limit=15
This website contacted 15 IPs in 2 countries across 9 domains to perform 52 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://www.not-enought-feeding-animals.vercel.app/

Effective URL:
https://www.google.com/
Redirected

AI Security Verdict

High Risk

Confidence: 72%

7
Risk Score

A Raiffeisen.ch-branded fake Cloudflare 'verification/access denied' page hosted on a random vercel.app subdomain and redirecting to google.com. Brand impersonation of a bank on an unrelated domain — avoid and report.

Risk Factors (5)
Impersonation of a different entity's brand (Raiffeisen.ch bank) on a non-official domain
Random meaningless subdomain name on a free hosting platform, creation date unknown
Cross-domain redirect to www.google.com after the branded challenge page
Geo/IP-gated 'Access Denied' page that only resolves for selected visitors (cloaking pattern)
Unranked domain despite claiming to represent an established financial institution
Domain age information unavailable

Details

Page Title

Verification

Scan Type

public

Domain Name Analysis

The domain 'www.not-enought-feeding-animals.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'www.not-enought-feeding-animals'. The second-level label 'vercel' is 6 characters long holding two vowels versus 4 consonants. Tokenizing the label suggests two words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Ober Google Store Deutschland G Bevor Sie zu Google weitergehen Wir verwenden Cookies und Daten einschliefiich IP-Adressen, um 38 Google-Dienste zu erbringen und zu betreiben 4. Ausfaile zu prif...

Page Load Overview

7.50s
Total Load Time
1.2 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:de
Text Length:3,652 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content61% confidence
Type: spa
Method: ml+structural

All Detected Categories

adult content
61%
education learning
39%
documentation technical
38%
news media journalism
35%
social media network
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1064.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3142.251.20.95Google · CDNUnited States
AS15169Google LLC
3142.251.14.94Google · CDNUnited States
AS15169Google LLC
32.21.74.73Akamai · CDNPrague, Prague, Czech Republic
AS20940Akamai International B.V.
32.21.74.64Akamai · CDNPrague, Prague, Czech Republic
AS20940Akamai International B.V.
3142.251.151.119Google · CDNUnited States
AS15169Google LLC
3142.251.155.119Google · CDNUnited States
AS15169Google LLC
3142.251.150.119Google · CDNUnited States
AS15169Google LLC
3142.251.153.119Google · CDNUnited States
AS15169Google LLC
5215--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C022334B36F700215AA351BD1BB717193A3040075A4ECE683E9D43904F9AF95DB73AEC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:z7SywU0dGXhTJjTl+3LpoSZ1yPeFVG+6MoZlaFswTXbhm7fj:z1TgmkG+6Mrs2k

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10434:m0mUw0IAS0IEQyDFHSgJAAyAlEAxERMSE3hRzAQLQRJrbiWIBC5AJAyDlDzEVOEAgIKgSQaD7JQRCKaEAIIEiIbAiBNQEghA

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:000060707818007e
Perceptual Hash:c1633c3ec7639899
Difference Hash:0020c0c8c0100870
Wavelet Hash:00007070fcfc0e7e
Color Hash:N/A

Other Hashes

Crop Resistant:0020c0c8c0100870

Scan History

Scan history not available

Unable to load historical scan data