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Security Scan Report: 0vjbzaj5qx-ea4c03252c.vercel.app

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Submitted: Aug 30, 2026, 4:45:14 AMCompleted: Aug 30, 2026, 4:46:36 AMpubliccompleted

Summary

This website contacted 10 IPs in 2 countries across 6 domains to perform 1 HTTP transaction. The main domain is 0vjbzaj5qx-ea4c03252c.vercel.app and was registered 6 years ago.

Submitted URL: https://0vjbzaj5qx-ea4c03252c.vercel.app/meta-security-2883443912115798.html

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The page impersonates Meta’s brand on an unknown‑age Vercel subdomain without credential forms, indicating moderate risk.

Risk Factors
Brand impersonation on an unranked domain
Hosted on a shared‑hosting subdomain with unknown age
Use of a major brand name (Meta) without official domain
Domain age information unavailable

Details

Page Title

Meta Verified - Rewards for you

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

adult content

(71%)

Domain Information

The domain name '0vjbzaj5qx-ea4c03252c.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain '0vjbzaj5qx-ea4c03252c'. The second-level label 'vercel' is 6 characters long containing 2 vowels alongside four consonants. It segments into two 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://0vjbzaj5qx-ea4c03252c.vercel.app/meta-security-2883443912115798.html

Page Load Overview

9.70s
Total Load Time
24
HTTP Requests
6
Domains
274 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:de
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:de
Text Length:1,469 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content71% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
71%
government public service
58%
news media journalism
52%
blog personal website
51%
social media network
49%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6172.67.68.11Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
264.29.17.195United States
AS16509Amazon.com, Inc.
2159.89.102.253Frankfurt am Main, Hesse, Germany
AS14061DigitalOcean, LLC
2216.198.79.195United States
AS16509Amazon.com, Inc.
2104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.2.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.67.69.226Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.9.44Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2410--

Page Statistics

24
Requests
6
Unique Domains
452.5 KB
Total Size

Detected Technologies6

Cloudflare
50%
Vercel
40%
HSTS
40%
Tailwind CSS
30%
jsDelivr
20%
cdnjs
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C801DD8F04D0941A1250A255F8E6B029CC8B452F4AA84E52BCF815385FE86A994EB89D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hRjyLqAc2SJS+pRQcclboZPDFP2OL/xLhVG:hRjOqftJ9RbcNgDFuGhVG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:658:AAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAIBBAAAAAAAAAAAAAAAAAAACAACAAAAAAAAgDgAAAAAAAAAAAAAAAAAAAAgAA

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:#ac53a2

Other Hashes

Crop Resistant:9c9f9f8e4d324dca

Scan History

Scan history not available

Unable to load historical scan data