Security Scan Report: lgbtq.unc.edu

Submitted: Nov 16, 2025, 2:46:02 PMCompleted: Nov 16, 2025, 2:47:30 PMpubliccompleted
Loading additional data...

Summary

This website contacted 2 IPs in 0 countries across 1 domain to perform 2 HTTP transactions. The main domain is lgbtq.unc.edu and was registered NaN years ago.

Submitted URL: https://lgbtq.unc.edu/wp-content/uploads/fluentform/ff-953a7d5c2341bc3260bf0e6547f7cddc-ff-Llama-Ahora-CoMo-Puedo-Hablar-Con-Un-Agente-De-Avelo-Airlines.pdf

The Cisco Umbrella rank of the primary domain is #30,850 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

High‑risk phishing page using a compromised WordPress site to impersonate Avelo Airlines.

Risk Factors
Compromised WordPress site indicator
Brand impersonation of Avelo Airlines on unrelated domain
Phishing content delivered via PDF
Use of phone numbers to lure victims (vishing vector)
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇧🇩

BN

(100% confidence)

Category

documentation technical

(82%)

Domain Information

Domain 'lgbtq.unc.edu' uses the sponsored educational top-level domain (.edu), featuring subdomain 'lgbtq'. The second-level label 'unc' is 3 characters long holding 1 vowel versus 2 consonants. Breaking it apart gives 1 word: unc. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lgbtq.unc.edu/wp-content/uploads/fluentform/ff-953a7d5c2341bc3260bf0e6547f7cddc-ff-Llama-Ahora-CoMo-Puedo-Hablar-Con-Un-Agente-De-Avelo-Airlines.pdf

Page Load Overview

5.83s
Total Load Time
2
HTTP Requests
1
Domains
436 KB
Total Size

Language Analysis

Primary Language

🇧🇩Bengali
Code: bn
Confidence:100%
Script:Unknown
Direction:ltr

Detection Details

Language Code:bn
Detection Confidence:100%
Script Type:Unknown
Text Length:325,915 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical82% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
82%
cryptocurrency blockchain
81%
technology software
80%
news media journalism
66%
finance banking
65%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1141.193.213.21UnknownUnknown
1141.193.213.20UnknownUnknown
22--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FAE0C6B288830C4EC012BBE08EA9E01CCA3B414ED3D70E8C362E3073810E4B1A2237DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxO96v6OqoXssF/uBKTR5Q7lWNq2rwneFy+RU3tZoOk7EcW+CQ770HKa:kxPvpXMKDQ7gGn55te75CQ770Hj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:ecf537d0c04862f2ef0d1aec241189f5

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

Unable to load historical scan data