Security Scan Report: joptmkx4ecjnlywfcx.vercel.app

Redirected to:
https://zquo33659-h21.vercel.app/10004567348379/qsMJa1dvgLlRjLqIBW.htm...
Submitted: Aug 23, 2026, 1:45:33 AMCompleted: Aug 23, 2026, 1:47:50 AMpubliccompleted

This website contacted 1 IP in 1 country across 3 domains to perform 4 HTTP transactions. The main domain is zquo33659-h21.vercel.app and was registered 14 years ago.

Submitted URL: https://joptmkx4ecjnlywfcx.vercel.app/jmndsr65hbserbsdfgnscg.html

Effective URL:

https://zquo33659-h21.vercel.app/10004567348379/qsMJa1dvgLlRjLqIBW.htm...
Redirected

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

The site impersonates Meta, collects login credentials, and lacks any reputation, indicating a high‑risk phishing page.

Risk Factors
Brand impersonation on unranked subdomain
Credential collection (password field) on unknown‑age site
Lack of legitimate brand domain matching
Phishing‑related IDS alert
Domain age information unavailable

Details

Page Title

Home

Scan Type

public

Domain Name Analysis

You're looking at domain 'joptmkx4ecjnlywfcx.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'joptmkx4ecjnlywfcx'. Its registrable label 'vercel' stretches across 6 characters with two vowels and 4 consonants. Segmentation suggests two words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://joptmkx4ecjnlywfcx.vercel.app/jmndsr65hbserbsdfgnscg.html

Page Load Overview

5.48s
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
464.29.17.195United States
AS16509Amazon.com, Inc.
41--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T135C169F790C09C35B5E544C889CD3E8E7A1DA58B5DE13B63524B10B853CBEA7E87A21C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TBI+awslWFmYL/1p6FQXlJHIeJm39Rfiw/d6Eup+4t:TBxslWFRkQXlJYtDzuc4t

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5788:AAFBACUWYBgQEgGIhgwEAkwAEIACQQpAkCIlZRHICSoAAABMAAANE4KADBTiARkAhCUBByIUIAACghBsLMAwIiQAtA0IhBSY

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:ffefffe7e7ffefff
Perceptual Hash:b332cccc3333cccc
Difference Hash:0008000808000800
Wavelet Hash:0c0c3c04073f3f3f
Color Hash:#783a69

Other Hashes

Crop Resistant:0008000808000800

Scan History

Scan history not available

Unable to load historical scan data