Security Scan Report: fhj-two.vercel.app

Submitted: Sep 12, 2026, 1:45:08 PMCompleted: Sep 12, 2026, 1:45:43 PMpubliccompleted

Summary

This website contacted 6 IPs in 1 country across 7 domains to perform 2 HTTP transactions. The main domain is fhj-two.vercel.app and was registered 23 years ago.

Submitted URL: https://fhj-two.vercel.app/aleenaopewerey.html

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

Page impersonates example.com, collects credentials, and triggers Safe Browsing social‑engineering warning – treat as high‑risk phishing.

Risk Factors
Brand impersonation on unknown‑age subdomain
Credential collection (password) on untrusted domain
Google Safe Browsing social engineering warning
Unranked domain lacking reputation
Domain age information unavailable

Details

Page Title

PORTAL - Mail Authentication

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(77%)

Domain Information

Domain 'fhj-two.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'fhj-two'. The registrable portion 'vercel' spans 6 characters containing 2 vowels alongside four consonants. Segmentation suggests two words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fhj-two.vercel.app/aleenaopewerey.html

Page Load Overview

16.75s
Total Load Time
10
HTTP Requests
7
Domains
166 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:400 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software77% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
77%
government public service
33%
documentation technical
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1216.198.79.3United States
AS16509Amazon.com, Inc.
132.199.23.92Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
1104.26.9.44Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.20.147Google · CDNUnited States
AS15169Google LLC
1142.251.157.119Google · CDNUnited States
AS15169Google LLC
106--

Page Statistics

10
Requests
7
Unique Domains
239.6 KB
Total Size

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T115A2C65A09F300257523E1783FFB93083671800B9506DD28B95C5794DFC8DA26ABFBE9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:d8BIGRLRNm69g1vr1ntjbTe5VcQ2PBKemGOdDT5ghwhmVutAoSuCIdtLrJKRwq1m:mBIBfVKDEoX4sGMflldD+3P2bs1Qf2OR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21520:AAKNkqgZ9AwU07IgEANHYNVAEQ9AErAYSbCgQjCGgYNQAOAEJAYRQKQBSjXGJMBEEAZQCDBRBAZAEiURMOQYKJ4lQWgHjkDo

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:0000001818000000
Perceptual Hash:9c3c36c1c9c36765
Difference Hash:10322eb2b20c0000
Wavelet Hash:1f01013f1f070f0f
Color Hash:#408abf

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data