Security Scan Report: www.posfihom.vercel.app

Redirected to:
https://posfihom.vercel.app/
Submitted: Oct 7, 2026, 12:45:28 AMCompleted: Oct 7, 2026, 12:46:50 AMpubliccompleted

This website contacted 3 IPs in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is posfihom.vercel.app and was registered 6 years ago.

Submitted URL: https://www.posfihom.vercel.app/

Effective URL:

https://posfihom.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 0%

7
Risk Score

AI analysis skipped: HTTP 451 error page with no meaningful content to analyze.

Domain age information unavailable

Details

Page Title

Deployment Unavailable

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.posfihom.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'www.posfihom'. Count 6 characters in 'vercel' holding 2 vowels versus four 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://www.posfihom.vercel.app/

Page Load Overview

7.73s
Total Load Time
2 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:92 chars
Detector Agreement:50%

Website Classification

Primary Category

cryptocurrency blockchain58% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
58%
government public service
54%
news media journalism
53%
real estate property
52%
healthcare medical
51%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
33--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F03174B745B1702EF63B88FE34D637682244811BC0960F59B618EFB8E2C7CA65123645

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz7n0:TGi9ScnwEYn0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1651:gAAQAAAgACIAJABAAEQAgAAAGAAAAAAAAAAAgCAgAgAAIAADAASAGAAAAAAgACAAEAAQAAABAAABGAAAQABEAAgIggAIAIAB

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:e699999966999989
Difference Hash:0000000c0c00000c
Wavelet Hash:f0f0fce4e0f0f0e0
Color Hash:#2d8649

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data