Summary
This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is poli.edu.co and was registered NaN years ago.
Submitted URL: https://www.poli.edu.co/blog/poliverso/elecciones-presidenciales-colombia-2026
The Cisco Umbrella rank of the primary domain is #412,723 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 92%
Legitimate government blog with low risk; no phishing or malware indicators detected.
Risk Factors
Safety Factors
Details
Page Title
¿Qué debes saber sobre las Elecciones Presidenciales en Colombia en 2026? | Blog del Poli
Scan Type
public
Language
Spanish
Category
government public service
(64%)Domain Information
You're looking at domain 'www.poli.edu.co' on the Colombian country-code top-level domain (.edu.co); it also runs on subdomain 'www'. The second-level label 'poli' is 4 characters long containing two vowels alongside two consonants. Tokenizing the label suggests one word: poli. No strong language cues emerged from the frequency lists.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 13 | 185.111.111.156 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 13 | 1 | - | - |
Detected Technologies13
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data