Security Scan Report: berqumi-gld-felmora-p7t5hp84.pages.dev

Redirected to:
https://www.facebook.com/
Site favicon
Submitted: Jul 12, 2026, 3:51:03 PMCompleted: Jul 12, 2026, 3:54:12 PMpubliccompleted

This website contacted 1 IP in 1 country across 4 domains to perform 10 HTTP transactions. The main domain is facebook.com and was registered 29 years ago.

Submitted URL: https://berqumi-gld-felmora-p7t5hp84.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

Within the developer-focused generic top-level domain (.dev), 'berqumi-gld-felmora-p7t5hp84.pages.dev' is registered and includes subdomain 'berqumi-gld-felmora-p7t5hp84'. The second-level label 'pages' is 5 characters long split between two vowels and three consonants. It segments into one word: pages. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://berqumi-gld-felmora-p7t5hp84.pages.dev/

Page Load Overview

3.61s
Total Load Time
290 KB
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
10188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
101--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T188A45C05FA08C4771B3B0FE1D0A67947A75D080BDA8859E4D5AEBB6834C7BF8231B716

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:amincnKh/hOAqZjispgNmzUmE+GnIWnIjiD99jifr0aiWFRYkRhznaHDb9nuqRc6:XKhhOqCM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:484432:C5IQAaF4DJQAFPwNSJcAAABymQPAtOCIAACYEtAIBQoOghtI2EcTKAWhZTBhonIQwSWlmgRMxBckMAJDoRkoACDZApIuAwAA

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:8adb25267164bc9d
Difference Hash:8d69717979e1e11f
Wavelet Hash:213d3d3c3d3d3d01
Color Hash:#4a1f93

Scan History

Scan history not available

Unable to load historical scan data