Security Scan Report: molprobity.biochem.duke.edu

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Submitted: Feb 2, 2026, 10:33:43 PMCompleted: Feb 2, 2026, 10:35:01 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 6 HTTP transactions. The main domain is molprobity.biochem.duke.edu and was registered NaN years ago.

Submitted URL: https://molprobity.biochem.duke.edu

The Cisco Umbrella rank of the primary domain is #52,555 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate academic site with no security concerns.

Safety Factors
Well‑established domain
High Cisco Umbrella ranking
No malicious Indicators of Compromise
No sensitive data collection forms
Domain age information unavailable

Details

Page Title

Main page - MolProbity

Scan Type

public

Language

🇺🇸

English

(57% confidence)

Category

documentation technical

(75%)

Domain Information

Domain 'molprobity.biochem.duke.edu' uses the sponsored educational top-level domain (.edu) and includes subdomain 'molprobity.biochem'. The core label 'duke' covers 4 characters containing two vowels alongside two consonants. Word splitting yields one word: duke. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://molprobity.biochem.duke.edu

Page Load Overview

8.85s
Total Load Time
6
HTTP Requests
1
Domains
19 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:57%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:57%
Script Type:Latin
Text Length:5,796 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical75% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
75%
technology software
71%
government public service
55%
education
45%
healthcare medical
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
652.224.124.217Washington, Virginia, United States
AS8075Microsoft Corporation
61--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B842099447D05A2909528292DB5126F45DB640C29F01260ABC8E8FFD5FC8ED6873FBEE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:clFdKiNnZr/29xQqDRP52uS5/9D04YY4GE:cl7bmQqVP5JT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12981:kJQyAxsYECTAoQkgKKFEIEEgxFIwwc4BVKAloCwMVJCQEKQRQSbkiglCDI1VEKAECeFDrskqrFEpJ542MCBJhEVBUFECiwDi

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:00001f7f037f7f7f
Perceptual Hash:80722a6a7bc2ba6f
Difference Hash:c9fefcecf2f7f3f3
Wavelet Hash:01000f7f017f3f3f
Color Hash:#53aca8

Other Hashes

Crop Resistant:c9fefcecf2f7f3f3

Scan History

Scan history not available

Unable to load historical scan data