Security Scan Report: advances.massgeneral.org

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Submitted: May 19, 2026, 7:37:52 PMCompleted: May 19, 2026, 7:39:35 PMpubliccompleted
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Summary

This website contacted 14 IPs in 2 countries across 9 domains to perform 47 HTTP transactions. The main domain is advances.massgeneral.org and was registered NaN years ago.

Submitted URL: https://advances.massgeneral.org/cardiovascular/q-a.aspx?id=1032

The Cisco Umbrella rank of the primary domain is #188,670 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

Low‑risk, likely legitimate site; contains heavily obfuscated JavaScript but no phishing or malware indicators.

Risk Factors
High JavaScript obfuscation with dynamic code execution (eval, Function)
Low Cisco Umbrella ranking for the subdomain
Safety Factors
Domain age > 10 years, well‑established registration
Brand name matches the domain (self‑branding)
No credential or payment forms present
No malicious IoC matches or network IDS alerts
Domain age information unavailable

Details

Page Title

Young Investigator's Award in Women's Cardiovascular Health - Mass General Advances in Motion

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(81%)

Domain Information

The domain name 'advances.massgeneral.org' uses the non-profit oriented generic top-level domain (.org); it also runs on subdomain 'advances'. The second-level label 'massgeneral' is 11 characters long holding 4 vowels versus seven consonants. Splitting it apart reveals two words: mass, general. Median word length comes out to 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://advances.massgeneral.org/cardiovascular/q-a.aspx?id=1032

Page Load Overview

31.86s
Total Load Time
47
HTTP Requests
9
Domains
3.2 MB
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:7,453 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical81% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
81%
social media network
60%
documentation technical
39%
government public service
38%
news/blog
20%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8192.28.153.119United States
AS15224Adobe Inc.
344.206.168.29Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
3170.223.88.198Dedham, Massachusetts, United States
AS40831Mass General Brigham Incorporated
33.171.214.38United States
AS16509Amazon.com, Inc.
3184.24.77.146Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
344.195.244.168Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
320.121.104.90Washington, Virginia, United States
AS8075Microsoft Corporation
3184.24.77.136Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3184.24.77.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3170.223.157.69Dorchester, Massachusetts, United States
AS40831Mass General Brigham Incorporated
4714--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E5332B7BB7801937027351EABA6A776CA0A78073E2558C42B0FF86ADDFC5DD108279D4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:cUtvGYyAwWvAwwvPPew8vdjQ5D8/HLCWGtPtdBjkKK1zy:tJhwWvAwwvnew8vdM5D8/Hpvzy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:51734:EoCGAYQqIUOAZkQhIqElEniQMAAKQQwaQdErCgwCAkwGC4CVABYQeMBwYh7QAR0AIAQ6IAcKHAkEXZMIFVLGIM2aRkFCZCTw

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:3f8787ffdbdfdfcf
Perceptual Hash:bf070781830b1f3f
Difference Hash:c02c3d3b33333b2c
Wavelet Hash:3e87879f83838387
Color Hash:#931f80

Other Hashes

Crop Resistant:c02c3d3b33333b2c

Scan History

Scan history not available

Unable to load historical scan data