Security Scan Report: dunbarboropa.gov

Submitted: Nov 21, 2025, 9:17:18 AMCompleted: Nov 21, 2025, 9:19:32 AMpubliccompleted
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Summary

This website contacted 11 IPs in 3 countries across 8 domains to perform 69 HTTP transactions. The main domain is dunbarboropa.gov and was registered NaN years ago.

Submitted URL: https://dunbarboropa.gov/

AI Security Verdict

High Risk

Confidence: 80%

7
Risk Score

Site impersonates Facebook on a municipal domain; likely phishing.

Risk Factors
Brand impersonation on an unrelated government domain
Unranked domain presenting a major brand name
Domain age information unavailable

Details

Page Title

Dunbar Borough – This website is to provide up to date information to the community of Dunbar Borough and surrounding areas. This includes ordinances, upcoming events, contact information, meeting information, etc.

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'dunbarboropa.gov' is registered with no subdomain. The core label 'dunbarboropa' covers 12 characters containing 5 vowels alongside seven consonants. Tokenizing the label suggests 3 words: dunbar, boro, pa. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dunbarboropa.gov/

Page Load Overview

0.62s
Total Load Time
69
HTTP Requests
8
Domains
871 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:2,207 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: spa
Method: ml+structural

All Detected Categories

government
48%
entertainment media
38%
government public service
31%
corporate business
28%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3423.35.236.120Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
25192.0.78.25San Francisco, California, United States
AS2635AUTOMATTIC
6192.0.78.24San Francisco, California, United States
AS2635AUTOMATTIC
62a04:fa87:fffe::c000:4902Ireland
AS2635AUTOMATTIC
6192.0.78.22San Francisco, California, United States
AS2635AUTOMATTIC
6192.0.78.19San Francisco, California, United States
AS2635AUTOMATTIC
4192.0.76.3San Francisco, California, United States
AS2635AUTOMATTIC
2192.0.73.2San Francisco, California, United States
AS2635AUTOMATTIC
217.57.13.65Mesa, Arizona, United States
AS714APPLE-ENGINEERING
1192.0.78.18San Francisco, California, United States
AS2635AUTOMATTIC
6911--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19EC3EAA0A2B804F57E7F473B6906B3245127EA11C5057BF5B0F1E1986DC9EB606E3B0E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:Zwzkfdtew0DkGkhVlVdZouYemlUYugaLrf94cr1MkQkU6:ZwzkfdE/CZouYemlUYugaLrfUbG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:120512:WfUSACIAJJGEIigOHOt2EUxAj5r5M1xp0MkaTiQcCPlAJGEBAJgAFBA9SUVRSiSIiAXRCIGA0bKoBYBGAEggAcFSGDzH7SJg

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:3c3c3c3c38387dff
Perceptual Hash:c356b069fd28699c
Difference Hash:c8ccccc852c3f188
Wavelet Hash:3c3c3c0038387dff
Color Hash:#a6e06c

Other Hashes

Crop Resistant:c8ccccc852c3f188

Scan History

Scan history not available

Unable to load historical scan data