Security Scan Report: submid-cotact136336.vercel.app

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Submitted: Aug 17, 2026, 12:45:27 PMCompleted: Aug 17, 2026, 12:55:44 PMpubliccompleted

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Page impersonates Meta/Facebook and harvests credentials on an unknown-age Vercel subdomain – high risk of phishing.

Risk Factors (3)
Brand impersonation on mismatched domain
Credential collection form
Unranked / unknown-age subdomain
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), 'submid-cotact136336.vercel.app' is registered and includes subdomain 'submid-cotact136336'. The second-level label 'vercel' is 6 characters long with 2 vowels and four consonants. Tokenizing the label suggests two words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://submid-cotact136336.vercel.app/index1.html

Page Load Overview

19.83s
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
7216.198.79.67United States
AS16509Amazon.com, Inc.
4104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4151.101.129.155Fastly · CDNUnited States
AS54113Fastly, Inc.
4142.251.110.138Google · CDNUnited States
AS15169Google LLC
194--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T196F25E11A9A5DC2A80CF59D86AB3652525F99307C2124A88FE7CABF10FAFC7CC777144

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:1acQ4nFIIACADGkJZUTiRgcGvsjTMe8GVu9pgUT7FDy:dFIZfJ6iiHl4u9pj7FDy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:37130:DAIMDRQGxNrIGVAAkSJQUwZGYkBEBkgJYEEAOcIM4rlAYAkmVJgMAIYgAhhkEBKDoQEAlGJMD4QEURqoBYCxkLGrhb5FMq8M

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:ffcfcf87c1cfcfff
Perceptual Hash:b933c45cc69cbc43
Difference Hash:18191b1b19b81818
Wavelet Hash:cf8580878087cfef
Color Hash:#2d48d2

Scan History

Scan history not available

Unable to load historical scan data