Security Scan Report: vzuy32-c17s.vercel.app

Redirected to:
https://vzuy32-c17s.vercel.app/10007745768379/trnbugwqA9454m2fLoBp.htm...
Site favicon
Submitted: Aug 22, 2026, 12:45:38 PMCompleted: Aug 22, 2026, 12:49:19 PMpubliccompleted

This website contacted 1 IP in 1 country across 4 domains to perform 19 HTTP transactions. The main domain is vzuy32-c17s.vercel.app and was registered 10 years ago.

Submitted URL: https://vzuy32-c17s.vercel.app/

Effective URL:

https://vzuy32-c17s.vercel.app/10007745768379/trnbugwqA9454m2fLoBp.htm...
Redirected

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

Page impersonates Meta and collects credentials on an unknown‑age subdomain – high‑risk phishing site.

Risk Factors (3)
Unranked domain
Free subdomain on shared hosting platform
Presence of password field on impersonated brand page
Domain age information unavailable

Details

Page Title

Advertising Policies Help

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'vzuy32-c17s.vercel.app' is registered, featuring subdomain 'vzuy32-c17s'. Count 6 characters in 'vercel' split between two vowels and 4 consonants. Tokenizing the label suggests 2 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 https://vzuy32-c17s.vercel.app/

Page Load Overview

0.58s
Total Load Time
402 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:45%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:vi
Text Length:4,015 chars
Detector Agreement:75%
Language mismatch: Declared as vi but detected as en

Website Classification

Primary Category

social media network53% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
53%
technology software
31%
documentation technical
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1964.29.17.195United States
AS16509Amazon.com, Inc.
191--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T145E0615DEC80900AD35417192CF471094951E659FB1CD930E8C510A85EE47D68993754

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hRY+SZJRgsWJFhU0K1yqOXMxCwWMWx1Q0VG:hRY+SbRAJFh3+CXMxCzQ0VG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:79c9a39e4bd393c32e775184176beb98

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:4e3e262e0a0a0a0a
Wavelet Hash:a6828283e3e3e7e3
Color Hash:#933c1f

Other Hashes

Crop Resistant:4e3e262e0a0a0a0a

Scan History

Scan history not available

Unable to load historical scan data