Security Scan Report: facebook-seven-alpha.vercel.app

Submitted: Sep 16, 2026, 1:45:39 AMCompleted: Sep 16, 2026, 1:46:55 AMpubliccompleted

AI Security Verdict

Confirmed Scam

Confidence: 98%

10
Risk Score

Confirmed Facebook credential-phishing page on a vercel.app subdomain; the login form exfiltrates email/password to a Telegram bot endpoint. Do not enter credentials.

Risk Factors
Credential exfiltration to external Telegram bot API via form action
Brand impersonation of Facebook/Meta on an unrelated vercel.app subdomain
Login form harvesting email/phone + password
Primary domain flagged as phishing in threat-intel feeds
Unranked domain on shared hosting platform with unknown subdomain age
Domain age information unavailable

Details

Page Title

Facebook

Scan Type

public

Domain Name Analysis

You're looking at domain 'facebook-seven-alpha.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'facebook-seven-alpha'. The second-level label 'vercel' is 6 characters long containing two vowels alongside four consonants. Breaking it apart gives 2 words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://facebook-seven-alpha.vercel.app/

Page Load Overview

1.61s
Total Load Time
7 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:es
Text Length:76 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network100% confidence
Type: webapp
Method: ml+structural

All Detected Categories

social media network
100%
news media journalism
85%
phishing scam
70%
government public service
63%
forum community discussion
59%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
22--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D772949F6E630CA0984682D55EF352643B2BD02F5E06C734F65CE730FF56998C822AD9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:STDnV4S9dz9HyJxbhfM0z4G7948snFGhqa0cFHXv4uVUfk4v/yj0lpdzpCIj:KZc00g8RZN5v5Uieztl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17139:VXQkIINYkSTlABRQGAbIBAAwmEqCGiTYTSYAhKKwSBQQIAPgTD95BIkqxHE7SACElA7FgQUSeqqoyEBDcAJBSggooLAMkAkA

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:ffffe7e7e7ffffff
Perceptual Hash:b333cc6433999966
Difference Hash:0008080c4d000c00
Wavelet Hash:1c04242427273f3f
Color Hash:#2dd251

Other Hashes

Crop Resistant:0008080c4d000c00

Scan History

Scan history not available

Unable to load historical scan data