Security Scan Report: project-0mgdh.vercel.app

Submitted: Completed: publiccompleted
This website contacted 5 IPs in 2 countries across 3 domains to perform 5 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://project-0mgdh.vercel.app/

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Fake Facebook login page hosted on a vercel.app subdomain that harvests email/password and exfiltrates via an embedded Telegram bot token — a confirmed credential phishing kit.

Risk Factors (6)
Brand impersonation of Facebook on a non-Facebook domain
Credential-harvesting login form (email + password) on a free hosting subdomain
Telegram bot token embedded in inline JavaScript enabling exfiltration of submitted data
External IP lookup (ipify.org) performed by page script
Unranked domain on shared hosting platform with unknown creation date
Network IDS alerts for abused cloud hosting service domain (vercel.app) and external IP lookup
Domain age information unavailable

Details

Page Title

Facebook

Scan Type

public

Domain Name Analysis

The domain name 'project-0mgdh.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'project-0mgdh'. Count 6 characters in 'vercel' split between two vowels and four consonants. Breaking it apart gives two words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://project-0mgdh.vercel.app/

Page Load Overview

1.59s
Total Load Time
6 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:72 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network95% confidence
Type: webapp
Method: ml+structural

All Detected Categories

social media network
95%
news media journalism
46%
healthcare medical
37%
government public service
37%
adult content
32%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1172.67.74.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1149.154.166.110Amsterdam, North Holland, Netherlands
AS62041Telegram Messenger Inc
164.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
55--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D862970F28F314558693F0AA37576305393288076945DEA5BF9D8780CF0A9A19BF2FE8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:RIIYK/2hwFrELtc4oTmddGx1gsGu09JH8Gy:mIYo22ELtc4oTmddGMsFe+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15424:BRlBGARUCjkMVtssVSGJIGQBVgJhrEiK0BCRNgKMCEv2bdMIACSRIgPQYEoU0qDgkARiURBAMwIzRBDAqERwGCw2WaohMiHK

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:ffffe7ffe7e7ffff
Perceptual Hash:b333cccc99992666
Difference Hash:00004d324d4d3008
Wavelet Hash:0f0f031b03033f3f
Color Hash:#b7bf40

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data