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Security Scan Report: www.fder.unr.edu.ar

Redirected to: https://www.amazon.com/?_encoding=UTF8&tag=mntzr-20&linkCode=ur2&linkId=fbdfb9b1ea167046640ea9a6800add6e&camp=1789&creative=9325&subId=M7567393704512585820

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Submitted: Oct 31, 2025, 2:32:07 PMCompleted: Oct 31, 2025, 2:33:39 PMpubliccompleted
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Summary

This website contacted 71 IPs in 3 countries across 10 domains to perform 122 HTTP transactions. The main domain is amazon.com.

Submitted URL: https://www.fder.unr.edu.ar/accesoCampus/javascript/fckeditor_00/editor/filemanager/browser/default/browser.html?Type=File&GetFoldersAndFiles=c-bWhP4kmdg&CONNECTOR=%2F%5C%2Fkidbizinc.iles.pics%2Fall%2Fsmart%2F

Effective URL: https://www.amazon.com/?_encoding=UTF8&tag=mntzr-20&linkCode=ur2&linkId=fbdfb9b1ea167046640ea9a6800add6e&camp=1789&creative=9325&subId=M7567393704512585820Redirected

AI Security Verdict

Safe Website

Confidence: 82%

0
Risk Score

Redirects to official Amazon site; no malicious activity detected.

Safety Factors
Final destination is the official Amazon domain
Absence of credential‑harvesting or payment collection forms
No known malicious Indicators of Compromise associated with the site
Domain age information unavailable

Details

Page Title

Amazon.com. Spend less. Smile more.

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(65%)

Domain Information

You're looking at domain 'www.fder.unr.edu.ar' on the Argentine country-code top-level domain (.edu.ar) with subdomain 'www.fder'. The registrable portion 'unr' spans 3 characters containing one vowel alongside 2 consonants. Segmentation suggests one word: unr. 'unr' most strongly signals Catalan. You may catch it in Malay and Slovak as well.

Screenshot

Security scan screenshot of https://www.fder.unr.edu.ar/accesoCampus/javascript/fckeditor_00/editor/filemanager/browser/default/browser.html?Type=File&GetFoldersAndFiles=c-bWhP4kmdg&CONNECTOR=%2F%5C%2Fkidbizinc.iles.pics%2Fall%2Fsmart%2F

Page Load Overview

12.01s
Total Load Time
122
HTTP Requests
10
Domains
963 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-us
Text Length:767 chars
Detector Agreement:80%

Website Classification

Primary Category

e-commerce shopping65% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
65%
corporate business
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
523.214.182.160Ashburn, Virginia, United States
AS14618AMAZON-AES
1200.3.125.12Rosario, Santa Fe, Argentina
AS262156Universidad Nacional de Rosario
198.80.87.158Ashburn, Virginia, United States
AS14618AMAZON-AES
144.215.137.192Ashburn, Virginia, United States
AS14618AMAZON-AES
154.192.34.180United States
AS16509AMAZON-02
144.215.132.129Ashburn, Virginia, United States
AS14618AMAZON-AES
144.220.20.83Ashburn, Virginia, United States
AS14618AMAZON-AES
113.33.111.143New York, New York, United States
AS16509AMAZON-02
134.236.73.130Ashburn, Virginia, United States
AS14618AMAZON-AES
154.152.182.20Ashburn, Virginia, United States
AS14618AMAZON-AES
12271--

Detected Technologies3

Open-Graph-Protocol
100%
CentOS
40%
jQuery
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T112245CA9FB617033657321F5F07F720A2233A6636648C991F5A8D2E42E749AD0137F9C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:7FofIn1pVWOcxsSpvY+o1QhCw52ELpUS0rsGcxvCsAobRUF2xAylNUuh:7FofoaPhCw52ELpUS0rsRvCkbRUFot

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:215775:NQAQ5BC0I0QADYBkGOBCEIAAqABvaaKu4AwFBFqgTZrJMBAxxagCjIjRMxAAAJQWQhBXMbMwh2kgKsggbAGDCFwBmSgIhCBA

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:00c3ff8d99bfff81
Perceptual Hash:bf3560471bd0d54a
Difference Hash:9c160e79696bb515
Wavelet Hash:0083e78999bffd81
Color Hash:#1f4a93

Other Hashes

Crop Resistant:9c160e79696bb515,0000000202000080,0180848080844106,9ca265e372f0e01e,12a7cf8b2b631b07

Scan History

Scan history not available

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