Security Scan Report: cornellseven.com

Submitted: Oct 14, 2026, 2:02:03 PMCompleted: Oct 14, 2026, 2:03:29 PMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 62%

4
Risk Score

Independent case-file/advocacy site on a 17-day-old, unranked domain. It is self-branded and disclaims Cornell affiliation, has no credential or payment forms, and no Indicators of Compromise, YARA or IDS hits. Unverified claims about named individuals warrant caution.

Risk Factors (3)
Very new domain (17 days old) with no established reputation
Domain name uses 'Cornell', which risks confusion with Cornell University despite the page's non-affiliation disclaimer
Right-click/context-menu blocking and one anti-analysis technique detected (weak signal, common on some legitimate sites)
Safety Factors (5)
Self-branding consistent with the site's own domain — no impersonation of another entity's brand
Explicit disclaimer of affiliation with Cornell University and Chi Phi
No credential, login or payment fields anywhere on the page
No Indicators of Compromise, YARA malware, IDS alerts or credential exfiltration
Cross-origin requests are only to ranked, well-known analytics/media/ad SDK endpoints (Google Analytics, bamgrid/Disney, Nielsen, Conviva)
Domain age information unavailable

Details

Page Title

Sources & Records | Cornell Seven

Scan Type

public

Domain Name Analysis

Domain 'cornellseven.com' uses the commercial generic top-level domain (.com) without a subdomain. The second-level label 'cornellseven' is 12 characters long with four vowels and eight consonants. It segments into two words: cornell, seven. Expect 6 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cornellseven.com/sources

Page Load Overview

23.92s
Total Load Time
12.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:218,824 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media68% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
68%
government public service
59%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3663.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
4142.251.110.97Google · CDNUnited States
AS15169Google LLC
4172.66.144.201Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4192.178.183.95Google · CDNUnited States
AS15169Google LLC
413.226.244.72Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4142.251.14.94Google · CDNUnited States
AS15169Google LLC
4216.239.34.36Google · CDNUnited States
AS15169Google LLC
435.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
4104.20.38.66Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
413.226.244.32Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
38087--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T104150A23E1E95176611303E2B6DA4BA56B606023D35D0D0176EEC7D80F6AED0FE373A9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:aoX0gwHknVgz/DHlsLuSA2Gm91OCqY6L2vlvBMy8HDb1TqvaWMZmMz5:aoX0gwHkUsem91BlWF1TDmMl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:895246:ZBitpCEABJACSJQIzaJ+q0ECesARjIJnjMkAiQCpAQBIjZghGIUCpSAxsZ2K30kA4IAgVAgQ4wggcklDCCgghNEtEKJFLVeC

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:7800707070207ce0
Perceptual Hash:c24c3938c7c6ef38
Difference Hash:f199c1c5c5c1d54d
Wavelet Hash:7d00717179217de5
Color Hash:#9f53ac

Scan History

Scan history not available

Unable to load historical scan data