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: 92%

9
Risk Score

Fake Facebook login page on a vercel.app subdomain. It collects email and password and posts data to the Telegram API, a known exfiltration channel. Do not enter credentials.

Risk Factors (6)
Brand impersonation of Facebook on a domain that does not belong to Facebook
Credential-harvesting login form (email + password) on a hosting-platform subdomain
Cross-origin POST to Telegram API from page scripts, consistent with credential exfiltration
Visitor IP lookup via api.ipify.org, a common phishing-kit fingerprinting step
Anonymous, unranked hosting-platform subdomain with no reputation and unknown page age
Confirmed credential form combined with impersonation and exfiltration behavior
Domain age information unavailable

Details

Page Title

Facebook

Scan Type

public

Domain Name Analysis

You're looking at domain 'project-0mgdh.vercel.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'project-0mgdh'. Count 6 characters in 'vercel' holding two vowels versus four consonants. Splitting it apart reveals two words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.29s
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
1216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1172.67.74.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1149.154.166.110Amsterdam, North Holland, Netherlands
AS62041Telegram Messenger Inc
1216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.26.13.205Cloudflare · WAFUnited States
AS13335Cloudflare, 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

T18F62970F28F314558693F1AA37576305393288076945DEA5BF9DC780CF0AA619BF2FE8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:dIIYK62hwFrELtc4oTmddGx1gsGu09JH8Gy:6IYh22ELtc4oTmddGMsFe+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15413:QFuQAvIEOhPFQwUIGwpBaEQkARBogKkgQQEEQdiAYgA0Yu4hkMkAghbRgJQp8FwEZQkAokJOK4GiBIRmAXRmgoAKHCQFgMCI

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:00000018c3c3ffff
Color Hash:#77862d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data