Security Scan Report: www.consendomitobt.vercel.app

Redirected to:
https://akazinmeytman.vercel.app/index.html?lang=de
Submitted: Aug 25, 2026, 12:45:03 AMCompleted: Aug 25, 2026, 12:46:24 AMpubliccompleted

Summary

This website contacted 3 IPs in 1 country across 4 domains to perform 2 HTTP transactions. The main domain is akazinmeytman.vercel.app and was registered 4 years 7 months ago.

Submitted URL: http://www.consendomitobt.vercel.app/

Effective URL: https://akazinmeytman.vercel.app/index.html?lang=deRedirected

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Page impersonates Facebook and harvests credentials via a password form on an unranked Vercel subdomain; high risk of phishing.

Risk Factors
Brand impersonation on unknown‑age subdomain
Credential harvesting form with multiple password fields
Unranked domain lacking reputation
Cross‑origin form submission to a different subdomain
Multiple password fields without visible labels (hidden password fields)
Domain age information unavailable

Details

Page Title

Facebook

Scan Type

public

Language

🇩🇪

German

(51% confidence)

Category

social media network

(99%)

Domain Information

The domain 'www.consendomitobt.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'www.consendomitobt'. The second-level label 'vercel' is 6 characters long containing two vowels alongside 4 consonants. Splitting it apart reveals 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 akazinmeytman.vercel.app

Page Load Overview

2.04s
Total Load Time
15
HTTP Requests
4
Domains
6 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:51%
Script Type:Latin
HTML Lang Attribute:en
Text Length:1,735 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as de

Website Classification

Primary Category

social media network99% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
99%
technology software
83%
blog personal website
77%
education learning
72%
news media journalism
71%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5216.198.79.195United States
AS16509Amazon.com, Inc.
564.29.17.3United States
AS16509Amazon.com, Inc.
5104.20.44.133Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
153--

Page Statistics

15
Requests
4
Unique Domains
27.9 KB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B4F22B65B0A5163EE6FB0AE830A717887438810AFC864045BDBF5F68D596CC77933B9C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:BgDb33Wsuawznevtzczu8kKunWQ+umuP0mSbqqYRpYDsT1vCbvs6vJEBLwaVYGnC:3iv+TFaVt5zon

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:34286:oCaGEtQC/AIJSJUACUAAgCc+IoiQSYy8WEhQhCAXFKQmEBmzhcTugcIBDKMEkQIUuiAOEgSRg0BFTKcADPiFEJEuAdKBEVnd

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:00fffff7ffffffff
Perceptual Hash:e47a1b5c6c643333
Difference Hash:32d8486626080000
Wavelet Hash:002cccf0033f3f3f
Color Hash:#c52dd2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data