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Security Scan Report: go.usp.org

Redirected to: https://www.usp.org/

Submitted: Mar 11, 2026, 11:13:52 AMCompleted: Mar 11, 2026, 11:15:35 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 3 HTTP transactions. The main domain is usp.org and was registered NaN years ago.

Submitted URL: https://go.usp.org

Effective URL: https://www.usp.org/Redirected

The Cisco Umbrella rank of the primary domain is #180,339 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 403 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Access Denied

Scan Type

public

Language

🇺🇸

English

(58% confidence)

Category

documentation technical

(53%)

Domain Information

The domain name 'go.usp.org' uses the non-profit oriented generic top-level domain (.org) with subdomain 'go'. Count 3 characters in 'usp' with one vowel and two consonants. Tokenizing the label suggests 1 word: usp. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://go.usp.org

Page Load Overview

1.46s
Total Load Time
4
HTTP Requests
2
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:58%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:58%
Script Type:Latin
Text Length:201 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical53% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
53%
healthcare medical
51%
technology software
49%
cryptocurrency blockchain
47%
government public service
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22.16.241.6Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
23.215.172.219United States
42--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BDD02BBFF38F200A4F1029C92CB23610B755253375DA76C49B41E056D20AEFAD50F478

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxwyEr6VPWxxdGztAc4NWgzlxLCS2M4a4dllxLCS6cKqz:kxVRpedg+XFXZ4dNF6cj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:207868803f62d42e449b6e658d337909

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:3f3fffffffffffff
Perceptual Hash:830303070707ffff
Difference Hash:e0c0000000000000
Wavelet Hash:1030f0f0f0f0f0f0
Color Hash:#783a73

Other Hashes

Crop Resistant:e0c0000000000000

Scan History

Scan history not available

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