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Security Scan Report: panel.ul.edu.lr

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Submitted: Jan 5, 2026, 10:16:03 PMCompleted: Jan 5, 2026, 10:17:24 PMpubliccompleted
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Summary

This website contacted 12 IPs in 2 countries across 8 domains to perform 10 HTTP transactions. The main domain is panel.ul.edu.lr.

Submitted URL: https://panel.ul.edu.lr/brittany-furlan-bio-wiki-age-tommy-lee-wedding/90112223/

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

High‑risk phishing site impersonating Apple/Instagram on an unranked domain.

Risk Factors
Brand impersonation on a non‑official, unranked domain
Unranked/low‑reputation domain claiming major brand names
Potentially newly registered domain with no established history
Domain age information unavailable

Details

Page Title

Brittany Furlan Bio, Wiki, Age, Tommy Lee, Wedding, Vine, and Net worth

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(46%)

Domain Information

The domain name 'panel.ul.edu.lr' uses the .edu.lr country-code top-level domain and includes subdomain 'panel'. Count 2 characters in 'ul' split between 1 vowel and 1 consonant. Tokenizing the label suggests one word: ul. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://panel.ul.edu.lr/brittany-furlan-bio-wiki-age-tommy-lee-wedding/90112223/

Page Load Overview

5.30s
Total Load Time
14
HTTP Requests
9
Domains
302 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
Text Length:6,652 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network46% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
46%
education
45%
entertainment media
42%
news/blog
35%
corporate
35%

Detected Features

Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
388.85.68.219Netherlands
AS35415Webzilla B.V.
1104.21.40.189United States
AS13335CLOUDFLARENET
1158.69.254.144Netherlands
AS7979
1142.250.186.131Unknown
AS14061
1161.35.81.166Amsterdam, North Holland, Netherlands
AS14061DIGITALOCEAN-ASN
1142.4.219.198Unknown
AS16276
1172.240.108.76Unknown
AS13335
1172.67.156.78United States
AS13335CLOUDFLARENET
1104.20.14.96United States
AS13335CLOUDFLARENET
1104.20.15.96UnknownUnknown
1412--

Detected Technologies2

Open-Graph-Protocolvwebsite
100%
Ubuntu
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T107F3293786142559A333CB266AC47B883D198023E1574DF9F96EE95C8BCB7E701B2B4C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:IJICfV0ZU0AeJTeJJ9BgChxf8wlyGHiJGiaWwan7llkYeeVtuqXHTwoINIT:II20NCtWNl6Yee3Tf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:159739:gjkAWSpAUBBTwhAAhjg8yMpVQ4CYAKAFBlIBDzwoRIAxMkVQzB2igAKXgxUwAgJSkyZA6QjGQiRjADLUjIAAlsQhMEBkbACA

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:81ffffffdfffdfff
Perceptual Hash:ed75652c6c646c31
Difference Hash:969ab2b2b2b292b2
Wavelet Hash:004a5a5b5b5b4b7b
Color Hash:#865c2d

Other Hashes

Crop Resistant:969ab2b2b2b292b2,202020c806a9b946

Scan History

Scan history not available

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