Security Scan Report: lemelson.mit.edu

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Submitted: Jun 15, 2026, 8:53:21 AMCompleted: Jun 15, 2026, 8:54:51 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is lemelson.mit.edu and was registered NaN years ago.

Submitted URL: https://lemelson.mit.edu/resources/robert-goddard

The Cisco Umbrella rank of the primary domain is #9,098 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate educational page with no malicious activity detected.

Safety Factors
Established academic subdomain of MIT
No forms collecting sensitive data
No external malicious resources detected
Domain age information unavailable

Details

Page Title

Robert Goddard | Lemelson

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(64%)

Domain Information

You're looking at domain 'lemelson.mit.edu' on the sponsored educational top-level domain (.edu); it also runs on subdomain 'lemelson'. Its registrable label 'mit' stretches across 3 characters containing one vowel alongside 2 consonants. It segments into one word: mit. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lemelson.mit.edu/resources/robert-goddard

Page Load Overview

4.26s
Total Load Time
30
HTTP Requests
4
Domains
529 KB
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:4,756 chars
Detector Agreement:80%

Website Classification

Primary Category

education learning64% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
64%
education
45%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15142.250.154.97United States
AS15169Google LLC
1518.9.108.52Cambridge, Massachusetts, United States
AS3Massachusetts Institute of Technology
302--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D313511159F12137426382C21B29E639EF83D487DB0A5A45B3FC2B5ECFD6E158E2760E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:z4ae3qjGI6XidXilUpXNcyr8u75JfbR98cyMNNmL8ewK3ru3tjGI6cPdLDIUpXNU:cJ3qjGI6XixilUpdcyr8u75JfbR98cy1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:41718:AFCYCgGohQJgICwmRAMJEIBSBFBdwIERAHkhlDTphmhPGJcpQoRoQVgACMOVoCC4AwSLGVmCMS6gcBUKUINF8ABQBgoEEOBA

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:0000e7fffbfbfbff
Perceptual Hash:bd461a4d9cccb2e4
Difference Hash:23cd0c383212321a
Wavelet Hash:0000e7ffcb8b83cf
Color Hash:#1f9325

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data