Security Scan Report: fb-meta-verified-36592.vercel.app

Submitted: Completed: publiccompleted
This website contacted 13 IPs in 1 country across 5 domains to perform 13 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://fb-meta-verified-36592.vercel.app/privacy-centers.html/

AI Security Verdict

High Risk

Confidence: 82%

7
Risk Score

Non-Meta Vercel subdomain impersonating Meta with a fake 'Verified Blue Badge' request funnel and ticket ID. No credential form captured, but the page is a deceptive brand-impersonation lure - avoid.

Risk Factors (5)
Brand impersonation of Meta on an unrelated, unranked hosting subdomain
Deceptive hostname crafted to look like a Facebook/Meta verification domain
Blue-badge verification request funnel with no visible submission destination (likely harvests data downstream)
Self-styled 'ticket id' and 24-hour verification deadline used as pressure tactics
MEDIUM IDS alerts for abused cloud hosting service (vercel.app) in DNS query and TLS SNI
Domain age information unavailable

Details

Page Title

Meta Verified - Rewards for you

Scan Type

public

Domain Name Analysis

The domain name 'fb-meta-verified-36592.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'fb-meta-verified-36592'. Its registrable label 'vercel' stretches across 6 characters split between 2 vowels and four consonants. Breaking it apart gives 2 words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fb-meta-verified-36592.vercel.app/privacy-centers.html/

Page Load Overview

1.07s
Total Load Time
147 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:1,561 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software42% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
42%
government public service
31%
corporate business
29%
documentation technical
28%
social media network
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.26.2.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.14.113Google · CDNUnited States
AS15169Google LLC
1142.250.154.94Google · CDNUnited States
AS15169Google LLC
1142.251.20.95Google · CDNUnited States
AS15169Google LLC
1142.251.14.94Google · CDNUnited States
AS15169Google LLC
1142.251.156.119Google · CDNUnited States
AS15169Google LLC
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1313--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18752E66666700076BD43C0E7EDE0B269B412E1C3DB3EC9A6B5CD4110BFEB9D648DBA44

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:ah6SCyU7W7JXeS7JXex/27xqzhROApH+dyLoNWHQ24uUjGCAYK:aOchL7OhRO4Hoz/HuwLAYK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13729:4IIgAMshEKQQg0xJEIAgDoB9jkUiHFAUwqgvJAAAgDosFwGiYJCgTRqkgpJUA4d2kJMKEAGREWAIEQCWQygJIRKYkAAAwRQA

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:c7c7c7c3c3e7ffff
Perceptual Hash:b3709c66649c939b
Difference Hash:9c9d9f968f4d31ca
Wavelet Hash:c4c1c1c3c3871f3f
Color Hash:#8479d2

Other Hashes

Crop Resistant:9c9d9f968f4d31ca

Scan History

Scan history not available

Unable to load historical scan data