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Security Scan Report: unapec.edu.do

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Submitted: Oct 29, 2025, 7:20:53 AMCompleted: Oct 29, 2025, 7:22:21 AMpubliccompleted
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Summary

This website contacted 143 IPs in 2 countries across 22 domains to perform 160 HTTP transactions. The main domain is unapec.edu.do and was registered NaN years ago.

Submitted URL: https://unapec.edu.do/

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate university website with no security concerns.

Safety Factors
Established domain age indicating long‑standing legitimacy
Absence of malicious Indicators of Compromise
No forms collecting sensitive data
Content aligns with the official university website
No redirects or suspicious external links
Domain age information unavailable

Details

Page Title

Universidad APEC - UNAPEC

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

education learning

(77%)

Domain Information

The domain 'unapec.edu.do' uses the Dominican country-code top-level domain (.edu.do) and has no subdomain. The core label 'unapec' covers 6 characters containing three vowels alongside 3 consonants. Breaking it apart gives two words: un, apec. Average segment length settles at three characters. The linguistic tilt is Latvian for 'un'. Secondary signals appear in Italian and French. Taken together, it feels Latvian.

Screenshot

Security scan screenshot of https://unapec.edu.do/

Page Load Overview

35.21s
Total Load Time
160
HTTP Requests
22
Domains
3.8 MB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:es
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:es
Text Length:5,604 chars
Detector Agreement:80%

Website Classification

Primary Category

education learning77% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
77%
education
45%
corporate
35%
government public service
33%
forum
20%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18142.250.181.238United States
AS15169GOOGLE
144.233.133.13Boardman, Oregon, United States
AS16509AMAZON-02
1172.217.18.14United States
AS15169GOOGLE
1142.250.186.66United States
AS15169GOOGLE
1142.250.186.142United States
AS15169GOOGLE
1172.217.18.1United States
AS15169GOOGLE
1195.181.175.40Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
1142.250.74.206United States
AS15169GOOGLE
179.127.216.204Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
1142.250.185.170United States
AS15169GOOGLE
160143--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T130A394325AD82C2B011342DCB15467AF9847BF37D94A5DC1F2BF42A66F89ED6BC5280C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:arwvDxIVneqbabyxDU7+OSAdOYA9AOB5w5FiOAZGWfTMh:arQ5qwYKiEeMh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:100552:CBoDGUKMnjgNXzAwgACDQAEfAsyBcEE50WCgCgFMCEAyEiMNnQutSSYCDUoFkw6AlqCSYFFGUgEwDzKEKD0xkjwAAAABBgCB

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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