Security Scan Report: demo-tailwind-sooty.vercel.app

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Submitted: Sep 27, 2026, 7:52:34 PMCompleted: Sep 27, 2026, 7:53:13 PMpubliccompleted

AI Security Verdict

Confirmed Scam

Confidence: 94%

9
Risk Score

Phishing page impersonating Facebook's login on a vercel.app subdomain, harvesting email/phone and password credentials. Do not enter any login details.

Risk Factors (5)
Impersonation of Facebook's login interface on an unrelated third-party domain
Credential harvesting form (email/phone + password) presented as a real Facebook sign-in
Unranked/unknown-reputation host with no legitimate relationship to Facebook
Abused cloud-hosting subdomain commonly used to host phishing kits
Page created on an instant-publish platform where domain age cannot be attributed
Domain age information unavailable

Details

Page Title

Facebook – log in or sign up

Scan Type

public

Domain Name Analysis

You're looking at domain 'demo-tailwind-sooty.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'demo-tailwind-sooty'. Its registrable label 'vercel' stretches across 6 characters split between 2 vowels and four consonants. Tokenizing the label suggests 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://demo-tailwind-sooty.vercel.app/

Page Load Overview

0.32s
Total Load Time
12 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:227 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network98% confidence
Type: webapp
Method: ml+structural

All Detected Categories

social media network
98%
entertainment media
27%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
32--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DC91D75593E301FE454747AA021028D2B1CCC627CBE6E34CB6EE63611F83CF08DAA979

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TH/h26T5ATcxAfAPxbt6n8MnrFQiEC2wM64cdImBl5cDiLgVgQDugTpracOkPwGr:Tf869HW6xBurarrGI62iMVLNTRCj42cN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4462:AgCjwCgIAAgQAMIAAUBgJEaAAESAQAAgUABQEgAAEhAACgAEAAACAQQUogIgkAgDEBFBILBSgQgARolRRAKUIACEAQKARAiO

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:ffffff8787e7ffff
Perceptual Hash:b6c9c9263ec9c12e
Difference Hash:0008522c2c4c1008
Wavelet Hash:f0f0f88080e0f0f0
Color Hash:#87c59c

Other Hashes

Crop Resistant:0008522c2c4c1008

Scan History

Scan history not available

Unable to load historical scan data