Security Scan Report: univcrsintlnl.com

Submitted: Oct 18, 2025, 1:01:21 AMCompleted: Oct 18, 2025, 1:02:15 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is univcrsintlnl.com and was registered NaN years ago.

Submitted URL: https://univcrsintlnl.com/extra/images/commons/logis-23.html

AI Security Verdict

Low Risk

Confidence: 70%

0
Risk Score

No immediate threats detected; site appears benign but is newly registered.

Safety Factors
No credential or payment forms detected
No external links or redirects
Standard web server message indicating no control over content
Domain age information unavailable

Details

Page Title

404 Not Found

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

Domain 'univcrsintlnl.com' uses the commercial generic top-level domain (.com) without a subdomain. Its registrable label 'univcrsintlnl' stretches across 13 characters containing three vowels alongside 10 consonants. Word splitting yields five words: uni, vcrs, in, tl, nl. The median word length lands at two characters. 'luni' is most common in Slovenian usage. It also appears in English and Italian contexts. Overall, 'univcrsintlnl.com' reads as Slovenian.

Screenshot

Security scan screenshot of https://univcrsintlnl.com/extra/images/commons/logis-23.html

Page Load Overview

11.19s
Total Load Time
2
HTTP Requests
1
Domains
2 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:267 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2159.69.139.47Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16D21513EC2C1560AC0275268FB91F39826198252D2570FB17B9E71ABF6CC0F752A37D8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:HGD69ejNQCRtgoLY95Mu56+eMHLFCOXAkRcfRrzd0oj9O72rKv:H669ej2CZLY5Mc6NMLYzkYKoUOy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1217:AAAAoQAAAAAAAEAACCSACAAAAAAAAQAAIAQAAEACAAAAAKAAIAAAQAAAAAAAAAAAACAAIAQAAAAAAEABAAACAAAAQAAAAAEA

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:ffffe7e7ffffff00
Perceptual Hash:e6a35c9966a26699
Difference Hash:08000c0c10000008
Wavelet Hash:0c0c2424272f0300
Color Hash:#53ac8d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data