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Security Scan Report: energy.mit.edu

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Submitted: Jun 10, 2026, 8:50:36 PMCompleted: Jun 10, 2026, 8:52:15 PMpubliccompleted

Summary

API
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Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/22d4a1a9-a535-4eec-9d28-c9cab3b78d73Domain and IP registration (RDAP)/api/v1/rdap/22d4a1a9-a535-4eec-9d28-c9cab3b78d73Certificate Transparency/api/v1/ct/energy.mit.eduHow often this domain was scanned/api/v1/domain/stats/energy.mit.eduScan history for this domain/api/v1/domain/history/energy.mit.edu?limit=15

This website contacted 6 IPs in 1 country across 13 domains to perform 77 HTTP transactions. The main domain is energy.mit.edu and was registered 41 years ago.

Submitted URL: https://energy.mit.edu/research/future-solar-energy/

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: 95%

0
Risk Score

The site is a legitimate MIT research page with no malicious indicators.

Safety Factors
Established MIT subdomain
High reputation ranking
Article page type (og:type=article)
No credential or payment forms
Benign cross‑origin subscription endpoint
Domain age information unavailable

Details

Page Title

The Future of Solar Energy | MIT Energy Initiative

Scan Type

public

Domain Name Analysis

Domain 'energy.mit.edu' uses the sponsored educational top-level domain (.edu), featuring subdomain 'energy'. The core label 'mit' covers 3 characters with one vowel and 2 consonants. Segmentation suggests 1 word: mit. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://energy.mit.edu/research/future-solar-energy/

Page Load Overview

9.98s
Total Load Time
6.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:3,637 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: spa
Method: ml+structural

All Detected Categories

education
45%
corporate
35%
documentation technical
27%
news/blog
20%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1754.231.226.88Ashburn, Virginia, United States
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12104.21.27.152United States
AS13335Cloudflare, Inc.
12104.18.19.183United States
AS13335Cloudflare, Inc.
12142.251.150.119United States
AS15169Google LLC
1234.139.241.155North Charleston, South Carolina, United States
AS396982Google LLC
12142.250.154.97United States
AS15169Google LLC
776--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A1A30A32D29804766A0F47AC8460F228F9AD9A67D546A775B1FE00BCDFC8DF700A761D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:f/JswBtiyUuehBBZdhHnSUrgdJxXUGCve5VGsjBoJzLH+6VxosSr:f2FpnSUrS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:104768:kCBkBBER4EKAJcgrEAxwBMoFSQSgFUkKwZFMAAjVJQ6EhYbBIUkAFhUcOQAJAgofIgCQBOYBICCASAQAAAGDAEqwFgKY6F0F

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:fff8c080bc180000
Perceptual Hash:dae0a1891f363f98
Difference Hash:8181012131310551
Wavelet Hash:fff8f0e0fcb88100
Color Hash:#c5bc87

Other Hashes

Crop Resistant:8181012131310551,35b48a8a968eb2d4,0100010505010001,8000043131302759

Scan History

Scan history not available

Unable to load historical scan data