Security Scan: Facebook

Summary

API

This view is built from:

Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/3c9a1de9-0658-4eb5-8d40-710c7ca78d98 Domain and IP registration (RDAP)/api/v1/rdap/3c9a1de9-0658-4eb5-8d40-710c7ca78d98How often this domain was scanned/api/v1/domain/stats/project-0mgdh.vercel.app Scan history for this domain/api/v1/domain/history/project-0mgdh.vercel.app?limit=15

This website contacted 5 IPs in 2 countries across 4 domains to perform 7 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://www.project-0mgdh.vercel.app/

Effective URL:

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

Redirected

AI Security Verdict

Confirmed Scam

Confidence: 97%

Risk Score

Facebook-branded credential phishing kit on a free vercel.app subdomain: login form harvests email/password, with an embedded Telegram bot token for exfiltration and IP capture via ipify. Enter nothing.

Risk Factors (5)

Brand impersonation: Facebook login UI served from a non-Facebook .vercel.app subdomain

Credential harvesting form (1 password field, 1 email/username field) on an unrelated host

Telegram bot-token exfiltration channel embedded in an inline script

Victim IP collected via cross-origin request to api.ipify.org

Phishing report against the exact primary domain (openphish.com)

Domain age information unavailable

Details

Page Title

Facebook

Scan Type

public

Domain Name Analysis

The domain name 'www.project-0mgdh.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'www.project-0mgdh'. The core label 'vercel' covers 6 characters split between two vowels and four consonants. Segmentation suggests two words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Page Load Overview

1.09s

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

Domain & IP Information

Requests	IP Address	Location	AS Autonomous System
3	216.198.79.67Aws · CLOUD	United States	AS16509Amazon.com, Inc.
1	216.198.79.3Aws · CLOUD	United States	AS16509Amazon.com, Inc.
1	64.29.17.3Aws · CLOUD	United States	AS16509Amazon.com, Inc.
1	104.26.13.205Cloudflare · WAF	United States	AS13335Cloudflare, Inc.
1	149.154.166.110	Amsterdam, North Holland, Netherlands	AS62041Telegram Messenger Inc
7	5	-	-

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:#d279cc

Other Hashes

Crop Resistant:00004d324d4d3008,00104c7171300410

Scan History

Scan history not available

Unable to load historical scan data

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