Security Scan Report: uke50neeqi3azcmqnbe.vercel.app

Redirected to:
https://llzc76c-h02c.vercel.app/10004567348379/qsMJa1dvgLlRjLqIBW.html
Submitted: Sep 3, 2026, 1:45:07 PMCompleted: Sep 3, 2026, 1:46:17 PMpubliccompleted

This website contacted 2 IPs in 1 country across 3 domains to perform 5 HTTP transactions. The main domain is llzc76c-h02c.vercel.app and was registered 14 years ago.

Submitted URL: http://uke50neeqi3azcmqnbe.vercel.app/fdbas4ervnbsdgfb54t6bsdfv.html/

Effective URL:

https://llzc76c-h02c.vercel.app/10004567348379/qsMJa1dvgLlRjLqIBW.html
Redirected

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

Page impersonates Meta, collects credentials on an unknown‑age Vercel subdomain; treat as high‑risk phishing.

Risk Factors
Brand impersonation on unranked subdomain
Credential (password) form without clear legitimate purpose
Unknown subdomain age on shared hosting platform
Domain age information unavailable

Details

Page Title

Home

Scan Type

public

Domain Name Analysis

The domain name 'uke50neeqi3azcmqnbe.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'uke50neeqi3azcmqnbe'. The second-level label 'vercel' is 6 characters long containing two vowels alongside four consonants. It segments into two words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://uke50neeqi3azcmqnbe.vercel.app/fdbas4ervnbsdgfb54t6bsdfv.html/

Page Load Overview

2.96s
Total Load Time
5 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
30%
documentation technical
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
364.29.17.3United States
AS16509Amazon.com, Inc.
2216.198.79.3United States
AS16509Amazon.com, Inc.
52--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T182B1446328D0901455A58898D0F8B79CF31AB70B09C12D73726B54281B4BE9DE1FFEAE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TBI+awslWNL/1p6FvdR4BWeUPw9hsxxaBNo6ZF+sx6YmywwHM0ZEzAX/BpKTEFHO:TBxslWLkvA5s95dEYOc44

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5518:BYEDQcQFQTgQkmiAgFVBAIJAUAQzAAgyQgKMAAFECYMAEEhUICiwAUIGMRiiAAhCAHABAUIUIQoCAoKACwJwICRQhAGqgwAE

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:ffffffc1c1ffffff
Perceptual Hash:ec0c93d36c2c93d3
Difference Hash:0004002626000000
Wavelet Hash:0f0f1f03003c3c3c
Color Hash:#d279b6

Other Hashes

Crop Resistant:0004002626000000

Scan History

Scan history not available

Unable to load historical scan data