Security Scan Report: www.submid-cotact136336.vercel.app

Redirected to:
https://submid-cotact136336.vercel.app/index1.html
Site favicon
Submitted: Aug 18, 2026, 12:45:02 PMCompleted: Aug 18, 2026, 12:46:11 PMpubliccompleted

This website contacted 1 IP in 1 country across 7 domains to perform 3 HTTP transactions. The main domain is submid-cotact136336.vercel.app and was registered 6 years ago.

Submitted URL: https://www.submid-cotact136336.vercel.app/

Effective URL:

https://submid-cotact136336.vercel.app/index1.html
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 92%

10
Risk Score

Page impersonates Meta/Facebook login, collects credentials, and is flagged as phishing – confirmed scam.

Risk Factors (5)
Brand impersonation on mismatched domain
Credential harvesting form
Threat‑intel phishing indicator on primary domain
External form submission to third‑party URL
Unranked, unknown‑age subdomain
Domain age information unavailable

Details

Page Title

Meta für Unternehmen – Seitenattraktivität

Scan Type

public

Domain Name Analysis

The domain name 'www.submid-cotact136336.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'www.submid-cotact136336'. Its registrable label 'vercel' stretches across 6 characters holding two vowels versus four consonants. Word splitting yields 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://www.submid-cotact136336.vercel.app/

Page Load Overview

1.06s
Total Load Time
2 KB
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
364.29.17.131United States
AS16509Amazon.com, Inc.
31--

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:#e08f6c

Scan History

Scan history not available

Unable to load historical scan data