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

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Submitted: Completed: publiccompleted
This website contacted 13 IPs in 2 countries across 6 domains to perform 24 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://tmzweqxtm4-1c25ab9afc.vercel.app/meta-security-4179491318886516.html

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

Fake Meta 'verified blue badge'/advertiser-invoicing page on an unranked vercel.app subdomain impersonating Meta support. No credential form present, but brand impersonation and scam lure make it unsafe.

Risk Factors (5)
Impersonation of a different entity's brand (Meta) on a domain that is not Meta's official domain
Brand name + unranked domain (possible typosquatting pattern)
Shared-hosting tenant with unknown creation date; parent apex age not attributable to this page
Deceptive 'verified badge' / advertiser-invoicing pretext designed to drive victims into a request/verification flow
Use of abused cloud-hosting service flagged by network IDS
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) and includes subdomain 'tmzweqxtm4-1c25ab9afc'. The registrable portion 'vercel' spans 6 characters with 2 vowels and 4 consonants. Tokenizing the label 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://tmzweqxtm4-1c25ab9afc.vercel.app/meta-security-4179491318886516.html

Page Load Overview

1.16s
Total Load Time
454 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 content69% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
69%
government public service
57%
news media journalism
49%
blog personal website
48%
social media network
47%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1264.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.26.3.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.26.9.44Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1159.89.102.253Frankfurt am Main, Hesse, Germany
AS14061DigitalOcean, LLC
164.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1172.67.68.11Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, 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

T1BB520AA56AB040B6BD43C5EAECE0B229B402F1D3CB2EC9E1B1DD41107FDB5E504D7A49

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:oJh6SCyU27JXeS7JXex/27xnhROApH+dyuoNWHuJ4wZVRG2wBAu3:oJOYhL7phRO4HokFWwZnpwBAu3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13975:YJgMTtgBiKapVT2AQMgCDoSwjwQ7GGwQQigATzAMkAAhRUAAQRCAHWo8goLTQlfEkBOwUhNBAGAoGRiwI0BJU3t6IoGYARwA

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:#785b3a

Other Hashes

Crop Resistant:9c9f9f8e4d324dca

Scan History

Scan history not available

Unable to load historical scan data