ScanMalware.com

Security Scan Report: lrezqnie61wp5d9rnwu.vercel.app

Redirected to:
https://sytw75d-h01d.vercel.app/10004567348379/qsMJa1dvgLlRjLqIBW.html
Submitted: Sep 2, 2026, 2:45:02 PMCompleted: Sep 2, 2026, 2:46:09 PMpubliccompleted

Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 2 HTTP transactions. The main domain is sytw75d-h01d.vercel.app and was registered 14 years ago.

Submitted URL: https://lrezqnie61wp5d9rnwu.vercel.app/sbdfnw54tasdv2vzxcdb6t

Effective URL: https://sytw75d-h01d.vercel.app/10004567348379/qsMJa1dvgLlRjLqIBW.htmlRedirected

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

Page impersonates Facebook, collects credentials via a login form, and operates on an unknown‑age unranked subdomain – high‑risk phishing site.

Risk Factors
Brand impersonation on unranked, unknown‑age subdomain
Credential harvesting form
Cross‑origin form submission to a different subdomain
Informational phishing IDS alert
Domain age information unavailable

Details

Page Title

Home

Scan Type

public

Language

🇺🇸

English

(45% confidence)

Category

social media network

(53%)

Domain Information

You're looking at domain 'lrezqnie61wp5d9rnwu.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'lrezqnie61wp5d9rnwu'. Its registrable label 'vercel' stretches across 6 characters with two vowels and 4 consonants. Splitting it apart reveals two words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of cdn.jsdelivr.net

Page Load Overview

0.28s
Total Load Time
3
HTTP Requests
3
Domains
N/A
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:45%
Script Type:Latin
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
1216.198.79.67United States
AS16509Amazon.com, Inc.
164.29.17.195United States
AS16509Amazon.com, Inc.
1216.198.79.195United States
AS16509Amazon.com, Inc.
33--

Page Statistics

3
Requests
1
Unique Domains
4.4 KB
Total Size

Detected Technologies4

Vercel
40%
HSTS
40%
jsDelivr
20%
jQuery
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15AB1487399EC5C108588A9C4418B760CF62E892AE9B45E63774323BD534BDDBEBB420C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TBI+awslWNL/1p6FnxOFVdOaFpqq3xbXfDCWxNsfef4VV0/m5okbbM+L/4OmVBR2:TBxslWLkn6hjFX3wVwmelc44

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5469:AQGpABAUADCQEgAEhKQAABAgQAUTDFkIAmJQDIlIaQKIgFFNJCKwAQGAARDmkSAYknABQkIQcAICEoEAIABgYDUAjEhIAQAk

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:e92c9693696c9693
Difference Hash:0000001212000000
Wavelet Hash:f0f0fc8080fcf0f0
Color Hash:#ac7d53

Other Hashes

Crop Resistant:0000001212000000

Scan History

Scan history not available

Unable to load historical scan data