Security Scan Report: compiler.lcs.mit.edu

Redirected to:
https://groups.csail.mit.edu/cag/
Submitted: May 15, 2026, 7:04:49 PMCompleted: May 15, 2026, 7:06:21 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is groups.csail.mit.edu and was registered NaN years ago.

Submitted URL: https://compiler.lcs.mit.edu

Effective URL: https://groups.csail.mit.edu/cag/Redirected

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

The site is a legitimate MIT educational page with no malicious activity.

Safety Factors
Long‑standing MIT subdomain (official institution)
High reputation ranking
No malicious indicators detected
Domain age information unavailable

Details

Page Title

MIT Computer Architecture Group Home Page

Scan Type

public

Language

🇺🇸

English

(47% confidence)

Category

education

(90%)

Domain Information

The domain name 'compiler.lcs.mit.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'compiler.lcs'. Count 3 characters in 'mit' holding one vowel versus two consonants. Word splitting yields one word: mit. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://compiler.lcs.mit.edu

Page Load Overview

2.40s
Total Load Time
4
HTTP Requests
2
Domains
2 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:47%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:47%
Script Type:Latin
Text Length:1,067 chars
Detector Agreement:67%

Website Classification

Primary Category

education90% confidence
Type: static
Method: structural

All Detected Categories

education
90%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2128.30.2.42Cambridge, Massachusetts, United States
AS3Massachusetts Institute of Technology
2128.52.131.233United States
AS3Massachusetts Institute of Technology
42--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12A510F7C07C4A50AD3BD17616A50B22CEE6601D644733EE6849FCC26BC09B857D6039F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:Y3J9q1YJBBBYRrW9V18ccTt5WmgBrBZc6SSrWiX3Bra990tofgKz6AtEyaGNKMYb:Y3AA2i+zVML93oZJ2mwMYMs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2810:QwAEgkEkIAgAAGAAAAAAMABAEJAAgQgIJICAAQAAQAAAQQEAAAYAwQEEAAECGRAAAACBBAAACKYACASDSEAQQADEAACEAEAQ

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:031f7f7f3f3f7f7f
Perceptual Hash:80747c3727707f64
Difference Hash:9eb884c8d0c0d0c0
Wavelet Hash:00077f3f3f317f00
Color Hash:#6ce0c5

Other Hashes

Crop Resistant:9eb884c8d0c0d0c0

Scan History

Scan history not available

Unable to load historical scan data