Security Scan Report: kalverino-zudam58132764.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 20 IPs in 1 country across 12 domains to perform 34 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://kalverino-zudam58132764.vercel.app/index1.html

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Fake Facebook/Meta login on a vercel.app subdomain collecting email and password, with a 24-hour account-deletion threat. Classic credential phishing — do not enter any credentials.

Risk Factors (5)
Facebook/Meta brand impersonation on a non-official domain (brand name in title/meta does not match the domain)
Credential-capturing login form (email + password) on a mismatched host
Urgency/deletion threat and canned error message copied from Facebook login flows
External IP/geolocation lookup via get.geojs.io and ipinfo.io (anti-analysis fingerprinting)
Hosted on a shared platform subdomain of unknown creation date, unranked reputation
Domain age information unavailable

Details

Page Title

Meta für Unternehmen – Seitenattraktivität

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'kalverino-zudam58132764.vercel.app' is registered and includes subdomain 'kalverino-zudam58132764'. Count 6 characters in 'vercel' with 2 vowels and four consonants. Segmentation suggests two words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://kalverino-zudam58132764.vercel.app/index1.html

Page Load Overview

3.98s
Total Load Time
1.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:de
Text Length:3,071 chars
Detector Agreement:75%

Website Classification

Primary Category

corporate business82% confidence
Type: webapp
Method: ml+structural

All Detected Categories

corporate business
82%

Detected Features

Login Form
Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1151.101.129.155Fastly · CDNUnited States
AS54113Fastly, Inc.
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.14.139Google · CDNUnited States
AS15169Google LLC
1142.251.14.94Google · CDNUnited States
AS15169Google LLC
1142.251.20.95Google · CDNUnited States
AS15169Google LLC
134.117.59.81Google · CDNKansas City, Missouri, United States
AS396982Google LLC
1104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.20.94Google · CDNUnited States
AS15169Google LLC
1142.251.150.119Google · CDNUnited States
AS15169Google LLC
3420--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T146F26F106AA5D92A80CF5AD866B3152525FA9307C2128988FE7D8BF10FAFC7DCF73544

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:/bNcQ4qFz3gaf/FrNqIgcGvsjTMe8GVu9p6UR7Rby:pFz3gqiHl4u9pf7Rby

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:36204:MCCYFYKCEf+QKNQFRWiFQARMBICGCDukAJOiQADACg1IV0CHxEhg1iBE5T04kWCQdCBAL7JYh2EAIBoGTwHqYFGpi46QCpET

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:ffffffcfcfffffff
Perceptual Hash:b131cecc3131cece
Difference Hash:0010001818000000
Wavelet Hash:f0f0f0c0c0f0f0f0
Color Hash:#8c40bf

Other Hashes

Crop Resistant:0010001818000000

Scan History

Scan history not available

Unable to load historical scan data