ScanMalware.com

Security Scan Report: rfboszrqhnvrhepbubq.vercel.app

Redirected to:
https://pklq55y-c07y.vercel.app/10004567348379/cNdIERcBUMvds4agsdv23v....
Submitted: Sep 8, 2026, 1:45:38 PMCompleted: Sep 8, 2026, 1:49:18 PMpubliccompleted

Summary

This website contacted 4 IPs in 1 country across 3 domains to perform 2 HTTP transactions. The main domain is pklq55y-c07y.vercel.app and was registered 14 years ago.

Submitted URL: https://rfboszrqhnvrhepbubq.vercel.app/fhgme56drtnbserfdzvcxzcxv

Effective URL: https://pklq55y-c07y.vercel.app/10004567348379/cNdIERcBUMvds4agsdv23v.htmlRedirected

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

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

Risk Factors
Unranked domain claiming major brand
Credential (password) field on impersonated brand page
Hidden password field without visible username field
Unknown subdomain age on shared hosting
Domain age information unavailable

Details

Page Title

Home

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

social media network

(48%)

Domain Information

The domain name 'rfboszrqhnvrhepbubq.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'rfboszrqhnvrhepbubq'. The second-level label 'vercel' is 6 characters long holding two vowels versus 4 consonants. Splitting it apart reveals 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://rfboszrqhnvrhepbubq.vercel.app/fhgme56drtnbserfdzvcxzcxv

Page Load Overview

1.27s
Total Load Time
6
HTTP Requests
3
Domains
142 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
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 network48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
48%
technology software
36%
documentation technical
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3216.198.79.195United States
AS16509Amazon.com, Inc.
164.29.17.67United States
AS16509Amazon.com, Inc.
1216.198.79.67United States
AS16509Amazon.com, Inc.
1216.198.79.3United States
AS16509Amazon.com, Inc.
64--

Page Statistics

6
Requests
2
Unique Domains
148.7 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

T10CB15A3325F414A926E8148489ECF608FA4F990F1DA799636F6B531C134B9E3F12A3DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TBI+awslWNL/1p6Fj1D6ipb3iJDrHs2mZvXzIYU2TuppL4UE/wj+gtu72mbwb5Zr:TBxslWLkfUL4ygc44

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5518:EUEjQAAHQDRXEkwQwgZEABQQAAASAApgAgoSEAFICYPICGBEIGGwC8gAARimCQgAICAJA8IgQCKDBoAADgBopiSQjYRtAAAk

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:ffffffe7e7ffffe7
Perceptual Hash:e699989966999999
Difference Hash:0000000c0c00000c
Wavelet Hash:0c0c3c24273f3f27
Color Hash:#d2802d

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data