Security Scan Report: research.com

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Submitted: Oct 11, 2025, 10:54:15 PMCompleted: Oct 11, 2025, 10:55:52 PMpubliccompleted
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Summary

This website contacted 27 IPs in 2 countries across 6 domains to perform 134 HTTP transactions. The main domain is research.com and was registered NaN years ago.

Submitted URL: https://research.com/best-colleges/northwestern-university

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Well‑established domain (registered since 1999)
No suspicious redirects or hidden content
No collection of sensitive data
Domain age information unavailable

Details

Page Title

Northwestern University - Profile, Degrees, Rankings & Statistics 2025 | Research.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(90%)

Domain Information

Within the commercial generic top-level domain (.com), 'research.com' is registered. The registrable portion 'research' spans 8 characters split between three vowels and 5 consonants. Segmentation suggests one word: research. The median word length lands at 8 characters. Most frequently, 'research' shows up in English. You will also see it in Chinese (Pinyin) and Sinhala contexts.

Screenshot

Security scan screenshot of https://research.com/best-colleges/northwestern-university

Page Load Overview

50.01s
Total Load Time
134
HTTP Requests
6
Domains
622 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:22,513 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical90% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
90%
education learning
78%
government public service
64%
forum
20%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
452.57.98.151Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
4216.239.32.36United States
AS15169GOOGLE
4104.20.17.167United States
AS13335CLOUDFLARENET
4172.66.149.116United States
AS13335CLOUDFLARENET
4104.20.47.153United States
AS13335CLOUDFLARENET
4216.239.34.36United States
AS15169GOOGLE
4142.250.185.104United States
AS15169GOOGLE
42001:4860:4802:32::36United States
AS15169GOOGLE
42001:4860:4802:34::36United States
AS15169GOOGLE
42a05:d014:1776:c002:a5bb:da7d:58bd:1b70Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
13427--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CD544C55A64910392963C7F4F0727E9AF317F70F93070C84E766A111CB87ABD712AE8A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:1JrH0E99k6MeEHclxD+2l2mv/CJdoPFyuiJ9O4Q0gP0HrlAUXAUU7FCRtQvzUv1N:1JJxD+2l2mv/CJdoPFy5AUXAUS40f0T

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:285728:kUQaoBWDQoWFKseJRBFCuEIhQINETBAYEMQwjCr8SpAAiA6hBFKgMPhCoT4TMggFGkEk0KIr9SKBdAAhAoUiKRWKA6sCBDCl

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:ffffffff81838183
Perceptual Hash:bcc1363a94c7b44b
Difference Hash:261bdb243b3f2b27
Wavelet Hash:bfc9ffd381818181
Color Hash:#c5a687

Scan History

Scan history not available

Unable to load historical scan data