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

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Submitted: Sep 29, 2026, 1:45:28 AMCompleted: Sep 29, 2026, 1:47:17 AMpubliccompleted

This website contacted 11 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/ads-manager-config-5088915193550580.html

AI Security Verdict

High Risk

Confidence: 80%

7
Risk Score

Fake Meta 'verified badge' verification lure on a random Vercel subdomain, impersonating Meta with counterfeit ticket IDs. No credential form present, but clear brand-impersonation phishing bait — do not interact.

Risk Factors (4)
Impersonation of a different entity's brand (Meta) on a domain that is not Meta's official domain
Verification-badge / advertiser-reward social-engineering lure with fabricated ticket IDs
Random-looking free hosting subdomain inconsistent with a major brand
Unranked domain claiming to represent a top-10 global brand
Domain age information unavailable

Details

Page Title

Datenschutzcenter – Überprüfungsanfrage

Scan Type

public

Domain Name Analysis

The domain name 'tmzweqxtm4-1c25ab9afc.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'tmzweqxtm4-1c25ab9afc'. Count 6 characters in 'vercel' containing 2 vowels alongside four consonants. Splitting it apart reveals 2 words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tmzweqxtm4-1c25ab9afc.vercel.app/ads-manager-config-5088915193550580.html

Page Load Overview

24.54s
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
59%
blog personal website
53%
news media journalism
53%
social media network
52%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2151.101.65.229Fastly · CDNUnited States
AS54113Fastly, Inc.
2104.26.3.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.67.69.226Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2159.89.102.253Frankfurt am Main, Hesse, Germany
AS14061DigitalOcean, LLC
264.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2151.101.193.229Fastly · CDNUnited States
AS54113Fastly, Inc.
2104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2151.101.129.229Fastly · CDNUnited States
AS54113Fastly, Inc.
2411--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T137520AA56AB040B6BD43C5EAECE0B228B402F1D3CB2EC9E5B1DD41107FDB5E504D7A49

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:oJh6SCyU27JXeS7JXex/27xnhROApH+dyuoNWHuJ4wgVRG2wBAu3:oJOYhL7phRO4HokFWwgnpwBAu3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13975:IJgMTtgBiKapVT2AQMgCDoSwjwQ7GGwQQigATzAMkAAhRUAAQRCAHWo8goLTQlfEkBOwUhNBAGQoGRiwI0BJU3t6IoGYARwA

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:#c58799

Other Hashes

Crop Resistant:9c9f9f8e4d324dca

Scan History

Scan history not available

Unable to load historical scan data