Security Scan Report: meche.mit.edu

Submitted: Dec 21, 2025, 8:48:05 PMCompleted: Dec 21, 2025, 8:51:01 PMpubliccompleted
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Summary

This website contacted 6 IPs in 1 country across 6 domains to perform 23 HTTP transactions. The main domain is meche.mit.edu and was registered NaN years ago.

Submitted URL: https://meche.mit.edu/people/faculty/[email protected]

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: 98%

0
Risk Score

The site is a legitimate MIT faculty page with no security concerns.

Safety Factors
Official MIT Mechanical Engineering faculty page
Long‑standing, reputable domain
Domain age information unavailable

Details

Page Title

MECHE PEOPLE: John Leonard | MIT Department of Mechanical Engineering

Scan Type

public

Language

🇺🇸

English

(53% confidence)

Category

education learning

(63%)

Domain Information

You're looking at domain 'meche.mit.edu' on the sponsored educational top-level domain (.edu) and includes subdomain 'meche'. Count 3 characters in 'mit' holding one vowel versus 2 consonants. Breaking it apart gives one word: mit. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://meche.mit.edu/people/faculty/JLEONARD@MIT.EDU

Page Load Overview

38.26s
Total Load Time
23
HTTP Requests
6
Domains
351 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:53%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:53%
Script Type:Latin
Text Length:3,356 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning63% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
63%
education
45%
forum
20%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
865.8.131.121United States
AS16509AMAZON-02
3142.251.141.78United States
AS15169GOOGLE
3142.250.186.136United States
AS15169GOOGLE
318.9.108.16Cambridge, Massachusetts, United States
AS3MIT-GATEWAYS
3104.17.25.14United States
AS13335CLOUDFLARENET
3142.250.186.106United States
AS15169GOOGLE
236--

Detected Technologies6

JQueryv2.1.1
100%
100%
100%
50%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17A53771378F6203B0153A1CABA71A726FDD7C50BC70A1A11B6FD5A9C1FD7E426903A4E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ZPNX7F0s3nWo9YFm+UuXzbMT6fIezR5uiLJqFXwakUeBILn:tNX7FxXYheGqFX1r

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:60942:DKKCailQWgAIA6jHDUB6qsJj0blggAhEK1jCBOGVgJuFSCAqQQKIlAUBCBNQ1A0RoaRrcAUhHR1NhYJQobwAECBQpx+Q1BCN

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:4fdfdfd8d88000a3
Perceptual Hash:fb9827414b4e4f26
Difference Hash:999ab99919586f66
Wavelet Hash:4fcfdfd8d88001a3
Color Hash:#862d64

Scan History

Scan history not available

Unable to load historical scan data