Security Scan Report: sp0ct-welvok-biz-yorqor-farnem.pages.dev

Redirected to:
https://www.facebook.com/
Site favicon
Submitted: Jul 12, 2026, 5:50:21 PMCompleted: Jul 12, 2026, 5:52:33 PMpubliccompleted

This website contacted 1 IP in 1 country across 5 domains to perform 46 HTTP transactions. The main domain is facebook.com and was registered 29 years ago.

Submitted URL: https://sp0ct-welvok-biz-yorqor-farnem.pages.dev/

Effective URL:

https://www.facebook.com/
Redirected

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

The site impersonates Facebook with a login form on an unknown‑age pages.dev subdomain, indicating credential phishing.

Risk Factors (4)
Brand impersonation on a non‑official domain
Credential collection form
Unknown subdomain creation date
High JavaScript obfuscation
Domain age information unavailable

Details

Page Title

Facebook

Scan Type

public

Domain Name Analysis

Domain 'sp0ct-welvok-biz-yorqor-farnem.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'sp0ct-welvok-biz-yorqor-farnem'. The core label 'pages' covers 5 characters with two vowels and 3 consonants. Word splitting yields one word: pages. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sp0ct-welvok-biz-yorqor-farnem.pages.dev/

Page Load Overview

1.37s
Total Load Time
3.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:2,019 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network48% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
48%
technology software
25%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
46172.66.44.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
461--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T196A45B05FA08C4771B3B0FF1E4A67907A75D0807DA8959E4D4AEBB6834C7BB8231B716

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:wJAT2UwtpK1AqZjispgNmzUFE+GnIWnIjiD99jifr0aiWFRYkRhznaHDr9nuqRcu:KHpKr4Yr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:483649:INJIJRgAEAnF0RkUWJwgClIFw0FkAoHcIcA6BLjR4THFTWMIIAoZwUQUJkXIIIIAEAAAAKohBEegAAoxMKCSoKE7aCAwMRCE

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:003c3c3c3c3c3800
Perceptual Hash:8a9b25e67164bc99
Difference Hash:8d69317979e1e11f
Wavelet Hash:013d3d3c3d3d3d01
Color Hash:#4a1f93

Scan History

Scan history not available

Unable to load historical scan data