Security Scan Report: tmzweqxtm4-1c25ab9afc.vercel.app

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Submitted: Sep 29, 2026, 1:45:39 AMCompleted: Sep 29, 2026, 1:47:46 AMpubliccompleted

This website contacted 13 IPs in 2 countries across 6 domains to perform 24 HTTP transactions. The main domain is tmzweqxtm4-1c25ab9afc.vercel.app and was registered 6 years ago.

Submitted URL: https://tmzweqxtm4-1c25ab9afc.vercel.app/meta-support-0740020304570751.html

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

Fake 'Meta Verified' blue-badge/rewards page hosted on a random Vercel subdomain, impersonating Meta branding. No capture form on this page, but it is not affiliated with Meta.

Risk Factors (5)
Impersonation of a different entity's brand (Meta) on a domain that is not Meta's
Deceptive 'verified blue badge' / monthly invoicing lure aimed at business accounts
Random-string subdomain on a free hosting platform, creation date unknown
Domain unranked in Cisco Umbrella with no legitimate association to the claimed brand
Abused cloud-hosting infrastructure used for the page
Domain age information unavailable

Details

Page Title

Datenschutzcenter – Überprüfungsanfrage

Scan Type

public

Domain Name Analysis

Domain 'tmzweqxtm4-1c25ab9afc.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'tmzweqxtm4-1c25ab9afc'. The core label 'vercel' covers 6 characters with two vowels and four consonants. It segments into two words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tmzweqxtm4-1c25ab9afc.vercel.app/meta-support-0740020304570751.html

Page Load Overview

2.43s
Total Load Time
453 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:de
Text Length:1,469 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content67% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
67%
government public service
59%
blog personal website
51%
news media journalism
49%
social media network
49%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1264.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1151.101.1.229Fastly · CDNUnited States
AS54113Fastly, Inc.
1172.67.68.11Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.26.8.44Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1159.89.102.253Frankfurt am Main, Hesse, Germany
AS14061DigitalOcean, LLC
1216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.26.2.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2413--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BC520AA56AB04076BD43C5EAECE07229B402F1D3CB2EC9E2B1DD41107FDB5E544D7A49

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:oJh6SCyU27JXeS7JXex/27xnhROApH+dyuoNWHuJ4wqVRG2wBAu3:oJOYhL7phRO4HokFWwqnpwBAu3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13975:IJgMTtgBiKapVT2AQMgCDoSwjwQ7GGwQQigATzAMkAAhRUAAQRCAHWo8goLTQlfEkBOwUhdBAGAoGRiwI0BJU3t6IoGYARwA

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:c7c7c3c3e7ffffff
Perceptual Hash:b37198ce269cccc6
Difference Hash:9c9f9f8e4d324dca
Wavelet Hash:c4c0c1c3c70f1f3f
Color Hash:#2dd29e

Other Hashes

Crop Resistant:9c9f9f8e4d324dca

Scan History

Scan history not available

Unable to load historical scan data