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Security Scan Report: access-port-ggl0rw3zkononuwgjpgwgsh.vercel.app

Redirected to: https://access.treatments.digital/[email protected]

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Submitted: Dec 3, 2025, 12:06:07 PMCompleted: Dec 3, 2025, 12:07:24 PMpubliccompleted
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Summary

This website contacted 6 IPs in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is access.treatments.digital and was registered NaN years ago.

Submitted URL: https://access-port-ggl0rw3zkononuwgjpgwgsh.vercel.app/?sa=D&sntz=1&usg=AOvVaw1bg884qO0M5p6ZfkBpXDD5#[email protected]

Effective URL: https://access.treatments.digital/[email protected]Redirected

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

New unranked domain with minimal suspicious element; likely safe but monitor.

Risk Factors
Email address in URL fragment (potential phishing lure technique)
Safety Factors
Page returns a 404 error (no malicious content displayed)
Domain is not hosting any forms or scripts that collect sensitive data
No known malicious Indicators of Compromise associated with the domain
Domain age information unavailable

Details

Page Title

access.treatments.digital

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(67%)

Domain Information

Domain 'access-port-ggl0rw3zkononuwgjpgwgsh.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'access-port-ggl0rw3zkononuwgjpgwgsh'. Its registrable label 'vercel' stretches across 6 characters split between 2 vowels and four consonants. Splitting it apart reveals two words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://access-port-ggl0rw3zkononuwgjpgwgsh.vercel.app/?sa=D&sntz=1&usg=AOvVaw1bg884qO0M5p6ZfkBpXDD5#a@b.com

Page Load Overview

0.80s
Total Load Time
3
HTTP Requests
2
Domains
1 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:310 chars
Detector Agreement:67%

Website Classification

Primary Category

healthcare medical67% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
67%
government public service
63%
technology software
60%
entertainment media
58%
cryptocurrency blockchain
56%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.3United States
AS16509AMAZON-02
1188.114.97.3United States
AS13335CLOUDFLARENET
064.29.17.3United States
AS16509AMAZON-02
0188.114.96.3United States
AS13335CLOUDFLARENET
02a06:98c1:3120::3United States
AS13335CLOUDFLARENET
02a06:98c1:3121::3United States
AS13335CLOUDFLARENET
36--

Detected Technologies2

Vercel
40%
HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T135048F77329A063986454498E057430D9F21B143B50AC9BCBABCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:qfQho9PKBb9JsE9RHCbZgRjFtSBaw9QWgceIsze2bMy8OldO:xhoC9J395CbZgLtSL3gcrsq2eAw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:183923:hBAXoIMkeAFADWgRFQCSwGCPtCZUB7gmSZhWFAJQDGjQoBwtDAS4AZAogfwAAAgrhAYBaiRREgkBLBQUiYFAARoQIiuAAIPB

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:ffc3c3c3f3ffffff
Perceptual Hash:a4319bcccc673333
Difference Hash:00141c1606000000
Wavelet Hash:f0d0c0c0f0fcf0f0
Color Hash:#acd279

Other Hashes

Crop Resistant:00141c1606000000

Scan History

Scan history not available

Unable to load historical scan data