Security Scan Report: benedict.edu

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Submitted: Feb 7, 2026, 1:14:26 AMCompleted: Feb 7, 2026, 1:15:58 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is benedict.edu and was registered NaN years ago.

Submitted URL: https://benedict.edu

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate educational site; no security concerns detected.

Safety Factors
Long‑standing domain registration
.edu TLD typically reserved for accredited institutions
Absence of suspicious scripts or redirects
No credential‑harvesting or payment collection mechanisms
Domain age information unavailable

Details

Page Title

benedict.edu

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(85%)

Domain Information

Within the sponsored educational top-level domain (.edu), 'benedict.edu' is registered while skipping any subdomain. Its registrable label 'benedict' stretches across 8 characters split between 3 vowels and 5 consonants. Breaking it apart gives 1 word: benedict. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://benedict.edu

Page Load Overview

8.10s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:732 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software85% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
85%
documentation technical
65%
adult content
63%
education
45%
education learning
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1159.223.114.194North Bergen, New Jersey, United States
AS14061DigitalOcean, LLC
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A6048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:LfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszU2bMy8Oldq:0hoC9JSqzzbs6o3Sj3gcrsw2eAg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184451:AJBZMCQCQEFBWEZK0IChmeWRvlCAhgyJhoGqC2hEKWywDQDEQKShBEgRQaQuAxyZBIhAAwp2giAgk2QIRICAovCEkaCxU3LL

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:ffcfc3cfffffffff
Perceptual Hash:b331cccccc633333
Difference Hash:00180c1800000000
Wavelet Hash:3f1f030f00000000
Color Hash:#6ce090

Other Hashes

Crop Resistant:00180c1800000000

Scan History

Scan history not available

Unable to load historical scan data