Security Scan Report: facebook-sigma-ruby.vercel.app

Redirected to:
https://facebook-sigma-ruby.vercel.app/
Submitted: Jul 26, 2026, 12:45:03 AMCompleted: Jul 26, 2026, 12:46:12 AMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 4 domains to perform 3 HTTP transactions. The main domain is facebook-sigma-ruby.vercel.app and was registered NaN years ago.

Submitted URL: http://facebook-sigma-ruby.vercel.app/

Effective URL: https://facebook-sigma-ruby.vercel.app/Redirected

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

The site impersonates Facebook and harvests login credentials on an unranked Vercel subdomain, indicating a high‑risk phishing page.

Risk Factors
Brand impersonation of a major brand
Credential collection on a mismatched domain
Unranked / unknown‑age subdomain on a hosting platform
Domain age information unavailable

Details

Page Title

Facebook

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(99%)

Domain Information

The domain 'facebook-sigma-ruby.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'facebook-sigma-ruby'. The core label 'vercel' covers 6 characters with two vowels and four consonants. It segments into 2 words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://facebook-sigma-ruby.vercel.app/

Page Load Overview

1.08s
Total Load Time
17
HTTP Requests
6
Domains
101 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:1,326 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network99% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

social media network
99%
adult content
80%
healthcare medical
72%
news media journalism
44%
phishing scam
41%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4172.64.147.188Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4216.198.79.195United States
AS16509Amazon.com, Inc.
174--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T167D30B155EA8409BB05A4C7F7941BF346AF2E71A9A810454F53E2E803FF38AE618F735

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:+YIlgrLXzZJo191FAQAfSkSkS/M2P2GoG8AkAl4SAlAaAvAMAzA1:2g/XTqV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:136967:KABMae6JyJEAbIAAADgQqARqqEJdAACCWZAKhAZIhPhDgSBMQABQImiAUpcNNAgMBEAAD1jyEFQwGNKcHxErC1mCIRBiEFAo

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:143c3c3c3c003c3c
Perceptual Hash:da545474565674d3
Difference Hash:a461616171316961
Wavelet Hash:7c3c3c3c3c1c3c3c
Color Hash:#79b2d2

Other Hashes

Crop Resistant:a461616171316961

Scan History

Scan history not available

Unable to load historical scan data