Security Scan Report: meta-seven-sigma.vercel.app

Submitted: Sep 17, 2026, 12:45:23 AMCompleted: Sep 17, 2026, 12:46:56 AMpubliccompleted

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

Fake 'Meta Verified' program hosted on a Vercel subdomain, impersonating Meta and soliciting user/account details via a fabricated verification workflow — brand impersonation scam.

Risk Factors
Impersonation of a different entity's brand (Meta) on a non-official domain
Fabricated Meta 'Verified' badge/verification workflow with ticket ID to appear official
Multiple email/input fields collecting user information under a false Meta context
Inline scripts using eval() and encoding/decoding functions
Unranked hosting-platform subdomain of unknown creation date
Network IDS flagged abused cloud-hosting domain (vercel.app) and external IP-lookup services
Domain age information unavailable

Details

Page Title

Meta Verified - Rewards for you

Scan Type

public

Domain Name Analysis

The domain 'meta-seven-sigma.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'meta-seven-sigma'. Count 6 characters in 'vercel' split between 2 vowels and four consonants. Splitting it apart reveals 2 words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://meta-seven-sigma.vercel.app/

Page Load Overview

43.44s
Total Load Time
N/A
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,690 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content51% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
51%
documentation technical
47%
corporate business
43%
technology software
42%
social media network
42%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0172.67.68.11Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.110.113Google · CDNUnited States
AS15169Google LLC
064.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
25--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E9F09E4B5DF0842A1240A3A19DC1F13AC8C7C85F5F1C9E0179E904382FA4E56949746D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:h4hqIY7YvfAbpli7vkcSYK9U3ZW1LF/GLBrAMMJAj/LWZL8g0qQj/LWPLKT6jV2p:hRjy7lSJSIJF/zwKx0hjKtiOL/xLhVG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:517:AAACAgAIAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAIAAAAAAAAgAAAAAAAAAAAAAAAAACgAAABAQAEgAAAAAAAAAAAAAA

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:ffffffcfcfffffff
Perceptual Hash:b131cec63131cece
Difference Hash:0010001818001000
Wavelet Hash:f0f0f0c0c0f0f0f0
Color Hash:#d22d6f

Other Hashes

Crop Resistant:0010001818001000

Scan History

Scan history not available

Unable to load historical scan data