Security Scan Report: vkxcu3gnyq9cwvhv-ke6z9ulgqbnzsmknjwkibei8.vercel.app

Redirected to:
https://hqdvsuiadyt4lcmzqwnzaxhrzldx4viigfb15-h14v.vercel.app/10005678...
Site favicon
Submitted: Aug 15, 2026, 2:45:18 PMCompleted: Aug 15, 2026, 2:47:39 PMpubliccompleted

This website contacted 1 IP in 1 country across 3 domains to perform 7 HTTP transactions. The main domain is hqdvsuiadyt4lcmzqwnzaxhrzldx4viigfb15-h14v.vercel.app and was registered 6 years ago.

Submitted URL: https://vkxcu3gnyq9cwvhv-ke6z9ulgqbnzsmknjwkibei8.vercel.app/hgdk346wtyhrsrtehgdtrf.html

Effective URL:

https://hqdvsuiadyt4lcmzqwnzaxhrzldx4viigfb15-h14v.vercel.app/10005678...
Redirected

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

High‑risk credential phishing site impersonating Meta; avoid interaction and report.

Risk Factors (4)
Brand impersonation of a major brand (Meta)
Unranked / low‑reputation domain
Unknown subdomain creation date
Data‑collection forms (email, phone) on impersonating page
Domain age information unavailable

Details

Page Title

Home

Scan Type

public

Domain Name Analysis

The domain name 'vkxcu3gnyq9cwvhv-ke6z9ulgqbnzsmknjwkibei8.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'vkxcu3gnyq9cwvhv-ke6z9ulgqbnzsmknjwkibei8'. The registrable portion 'vercel' spans 6 characters split between 2 vowels and 4 consonants. Breaking it apart gives 2 words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vkxcu3gnyq9cwvhv-ke6z9ulgqbnzsmknjwkibei8.vercel.app/hgdk346wtyhrsrtehgdtrf.html

Page Load Overview

9.51s
Total Load Time
150 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:vi
Text Length:4,015 chars
Detector Agreement:100%
Language mismatch: Declared as vi but detected as en

Website Classification

Primary Category

social media network46% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
46%
technology software
35%
documentation technical
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
764.29.17.195United States
AS16509Amazon.com, Inc.
71--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E05394B252F8227F506382C1AA275B0A3BE6E997E622456573BD17B41FE7CD3F807014

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:OJ2lCHX1gWFinXN9gJlMH+qpBaDQl13lF2h1jh:a/MH+qpUDQl13ih

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:62727:MEuRV4iwzINAEkOiCCI4AaKZRCQQYqcDIiSGAcBRyCP4ATSDSAIwwqg0EEYYgwRNESKOAmWAcCiWIjcAYZkHgSSEBBDEMAB8

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:e78783e3ffefefef
Perceptual Hash:bc3c30c3c3c7c7c4
Difference Hash:4e3e262e090a0b0a
Wavelet Hash:a6828283e3e3e7e3
Color Hash:#862d5c

Other Hashes

Crop Resistant:4e3e262e090a0b0a

Scan History

Scan history not available

Unable to load historical scan data