ScanMalware.com

Security Scan Report: ventures.yale.edu

Submitted: Nov 13, 2025, 1:25:44 PMCompleted: Nov 13, 2025, 1:27:07 PMpubliccompleted
Loading additional data...

Summary

This website contacted 21 IPs in 0 countries across 5 domains to perform 27 HTTP transactions. The main domain is ventures.yale.edu and was registered NaN years ago.

Submitted URL: https://ventures.yale.edu/news/lab-launch-eleven-faculty-innovators-recognized-turning-research-real-world-impact

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page appears legitimate with no security concerns.

Safety Factors
Well-established domain (registered since 1987)
No malicious Indicators of Compromise matches found
No credential or payment forms present
Domain is a subdomain of a reputable university (yale.edu)
Domain age information unavailable

Details

Page Title

From Lab to Launch: Eleven Faculty Innovators Recognized for Turning Research into Real-World Impact | Yale Ventures

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(45%)

Domain Information

The domain 'ventures.yale.edu' uses the sponsored educational top-level domain (.edu) and includes subdomain 'ventures'. The second-level label 'yale' is 4 characters long split between two vowels and two consonants. It segments into one word: yale. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ventures.yale.edu/news/lab-launch-eleven-faculty-innovators-recognized-turning-research-real-world-impact

Page Load Overview

22.07s
Total Load Time
27
HTTP Requests
5
Domains
2.1 MB
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:10,151 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education
45%
healthcare medical
44%
news media journalism
41%
documentation technical
39%
news
15%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7108.177.15.157UnknownUnknown
1142.250.184.200UnknownUnknown
164.233.184.155UnknownUnknown
1142.250.185.227UnknownUnknown
1216.239.34.36UnknownUnknown
123.185.0.3UnknownUnknown
1216.239.32.36UnknownUnknown
1172.217.18.8UnknownUnknown
12a00:1450:400c:c1d::9aUnknownUnknown
1108.177.15.155UnknownUnknown
2721--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T170937F50E1E4203B514306C6B624AB2AE797CD8BCF4B1A01F2FD1BDA5FD2E84CE5651E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Rl59TMBiDT2pqTnZxc5N8M2JHKG8RjneXa4JzNE33Dpk3DBvJgdIWNGRwLM:pez2kGRwLM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:97301:hIEUCBiMiGkWKR0ueFHNWLiwpBYVtGsiI1KgUEgAmdMZCBhjB0QhAgSY2R2A5YskOTAEAIB1AgEDJBAwAhDSLEA6QJDimDFw

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:00ffffc783878787
Perceptual Hash:bcc343366e53423d
Difference Hash:dd2c262f272f3f2f
Wavelet Hash:00ffd78783838787
Color Hash:#86582d

Other Hashes

Crop Resistant:dd2c262f272f3f2f,014107d8d0c52141,e0c478a62b4b2b33

Scan History

Scan history not available

Unable to load historical scan data