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Security Scan Report: www.myface-bktech.vercel.app

Redirected to:
https://myface-bktech.vercel.app/
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Submitted: Sep 12, 2026, 12:45:23 AMCompleted: Sep 12, 2026, 12:46:03 AMpubliccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/173e3ae9-693f-4b83-9eb6-2934fa7313a3Domain and IP registration (RDAP)/api/v1/rdap/173e3ae9-693f-4b83-9eb6-2934fa7313a3Certificate Transparency/api/v1/ct/myface-bktech.vercel.appHow often this domain was scanned/api/v1/domain/stats/myface-bktech.vercel.appScan history for this domain/api/v1/domain/history/myface-bktech.vercel.app?limit=15

This website contacted 4 IPs in 2 countries across 3 domains to perform 7 HTTP transactions. The main domain is myface-bktech.vercel.app and was registered 19 years ago.

Submitted URL: http://www.myface-bktech.vercel.app/

Effective URL:

https://myface-bktech.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Page impersonates Facebook and harvests login credentials; treat as high‑risk phishing.

Risk Factors
Brand impersonation (Meta/Facebook) on unranked subdomain
Credential collection form targeting Facebook login
Unknown domain age (potentially brand‑new)
Hosting on shared platform (vercel.app) without reputation
Domain age information unavailable

Details

Page Title

Facebook

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.myface-bktech.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'www.myface-bktech'. The core label 'vercel' covers 6 characters containing two vowels alongside four consonants. It segments into two words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.myface-bktech.vercel.app/

Page Load Overview

3.61s
Total Load Time
84 KB
Total Size

Language Analysis

Primary Language

🇸🇦Arabic
Code: ar
Confidence:60%
Script:Arabic
Direction:rtl

Detection Details

HTML Lang Attribute:en
Text Length:437 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as ar

Website Classification

Primary Category

social media network99% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
99%
technology software
48%
download file sharing
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
464.29.17.131United States
AS16509Amazon.com, Inc.
1216.198.79.131United States
AS16509Amazon.com, Inc.
1157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
1216.198.79.67United States
AS16509Amazon.com, Inc.
74--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16B01940B7965C03D1722DE401CC1F828DC8BD90FC64DB9A2F0D7109C36DA3A699CF528

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hRxRQA++amNT4KD++am70h2D++amNT451cvFwy7ffqsKWsNVp6qAEd1:hRxqAnVN3nVDDnVNqISCRKWsNVE7E7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:695:AAIAAAAAAAAAAAAAAAAAAAAAAAAAADAAAAAAAAAAAAEAAAAIAIAAAAAAAAAAAAAAAAAAAYCAgAAEAAAAAQEAAAAAAAAIBACA

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:fff9f99999f9fdff
Perceptual Hash:cb4a96b53cb4e14a
Difference Hash:0001033333032a04
Wavelet Hash:fef0d0101898f8fe
Color Hash:#ac5365

Other Hashes

Crop Resistant:0001033333032a04,e370596919c99932,e8633133998e938b,000c323232200000,76cfa7e3e3e44d99

Scan History

Scan history not available

Unable to load historical scan data