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Security Scan Report: www.grinnell.edu

Submitted: Dec 12, 2025, 12:54:52 PMCompleted: Dec 12, 2025, 12:55:45 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is grinnell.edu and was registered NaN years ago.

Submitted URL: https://www.grinnell.edu/news/kumail-nanjiani-01-doctor-humane-letters

The Cisco Umbrella rank of the primary domain is #393,411 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Grinnell College news page with no security concerns.

Safety Factors
Official Grinnell College domain (grinnell.edu)
Established domain age and reputable institution
Content matches expected college news article
Domain age information unavailable

Details

Page Title

Kumail Nanjiani ’01, Doctor of Humane Letters | Grinnell College

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(84%)

Domain Information

Within the sponsored educational top-level domain (.edu), 'www.grinnell.edu' is registered with subdomain 'www'. Count 8 characters in 'grinnell' holding two vowels versus six consonants. It segments into 1 word: grinnell. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.grinnell.edu/news/kumail-nanjiani-01-doctor-humane-letters

Page Load Overview

13.21s
Total Load Time
3
HTTP Requests
1
Domains
N/A
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:744 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software84% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
84%
documentation technical
64%
adult content
59%
education
45%
government public service
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
354.245.106.105Boardman, Oregon, United States
AS16509AMAZON-02
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T175633B5B97E42175021382916629A279FB53D027EB022DC0F2EC970DAFA3E75CD3764E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:2KraC1738D5t01HsgQqf/3l4SWS0B6GYYIIIAEoBC1B5L/6n4RPwNZxE+wT4lf+u:2KrOroo2/6n4RPsZxE+wT4lf+T/FcoXe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:69531:AISouArlABfGDygCErZAEkgDEABXYALiESjgACwAqAce1kEBAAE47CpAY7zIMJA1FIQzgmsGesDIQbAdsgEmjhJQZCxo1QCY

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:00ffffffffc70000
Perceptual Hash:b6c912b44b36674b
Difference Hash:3b20482e302c2ded
Wavelet Hash:00ffffc7ff830000
Color Hash:#c58787

Scan History

Scan history not available

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