Security Scan Report: circle.tufts.edu

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Submitted: Completed: publiccompleted
This website contacted 16 IPs in 3 countries across 11 domains to perform 140 HTTP transactions. The main domain is tufts.edu and was registered 39 years ago.

Submitted URL: https://circle.tufts.edu/latest-research/49-million-young-people-will-be-eligible-vote-2026-midterms

The Cisco Umbrella rank of the primary domain is #103,812 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate Tufts University CIRCLE research article on 2026 youth voter eligibility. No credential or payment forms, no threat-intel, hunting rule or IDS hits, and no impersonation of another brand.

Safety Factors (5)
Established university domain (Tufts University) with physical address and contact details
Legitimate research content with named authors and cited IPUMS data sources
No credential, payment, or disguised password fields present
No cross-origin credential submission or credential exfiltration
Third-party scripts are standard analytics/font/tag-manager hosts
Domain age information unavailable

Details

Page Title

49 Million Young People Will Be Eligible to Vote in the 2026 Midterms | CIRCLE

Scan Type

public

Domain Name Analysis

The domain 'circle.tufts.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'circle'. The core label 'tufts' covers 5 characters split between one vowel and 4 consonants. Segmentation suggests 1 word: tufts. No strong language cues emerged from the frequency lists.

Screenshot

About CIRCLE CENTER FOR INFORMATION & RESEARCH ON CIVIC LEARNING AND ENGAGEMENT Understanding Youth Civic Engagement Research Areas Youth Voting and Elections / Latest Research / 49 Million Youn...

Page Load Overview

3.81s
Total Load Time
2.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:7,288 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism46% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
46%
education
45%
government public service
39%
education learning
36%
news/blog
20%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2023.185.0.1Fastly · CDNUnited States
AS54113Fastly, Inc.
895.101.78.201Palermo, Sicily, Italy
AS6762TELECOM ITALIA SPARKLE S.p.A.
8142.251.14.138Google · CDNUnited States
AS15169Google LLC
8104.20.24.216Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
8184.24.77.169Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
8142.251.13.97Google · CDNUnited States
AS15169Google LLC
8142.251.110.138Google · CDNUnited States
AS15169Google LLC
8142.251.153.119Google · CDNUnited States
AS15169Google LLC
8216.239.32.36Google · CDNUnited States
AS15169Google LLC
8142.251.14.113Google · CDNUnited States
AS15169Google LLC
14016--

Detected Technologies17

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CF33A62295F530364136C3D1B2BA6365E6E2D05BE2C60812F7AC179C8FEFE117A1791E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:1sK9m/p9pcJnZWWevkQ8rI0rYoC9jsdK7xeMeeeeJxeYeeeezheeeexeeeeeeoeK:eCOcqu+uwAzTZ/NQiR5inkF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:52974:sYgSGIg9JhTEQTN5kBBA8IqBBEYAGOBAOBiAgBjQQAC4ENyAQAAAgBKbGLBZCjeEEljgAIZDZWNZJfAQe0QoiINm4iAJAOAM

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:00ff00ffffc3c3c3
Perceptual Hash:b41f2d9f9b714242
Difference Hash:7c63871c30969696
Wavelet Hash:00ff00c7dfc3c3c3
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data