Security Scan Report: dearborn.gov

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Submitted: Oct 21, 2025, 5:45:51 AMCompleted: Oct 21, 2025, 5:47:04 AMpubliccompleted
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Summary

This website contacted 53 IPs in 2 countries across 11 domains to perform 39 HTTP transactions. The main domain is dearborn.gov and was registered NaN years ago.

Submitted URL: https://dearborn.gov/

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate city government site with no security concerns.

Safety Factors
Official municipal website
Well‑established domain age
No malicious Indicators of Compromise detected
No credential or payment harvesting forms
Domain age information unavailable

Details

Page Title

Home Page | City of Dearborn

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(84%)

Domain Information

Domain 'dearborn.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. The second-level label 'dearborn' is 8 characters long containing three vowels alongside 5 consonants. Word splitting yields 1 word: dearborn. Expect 8 characters per word on average. The linguistic tilt is Danish for 'dearborn'. It also appears in English and Indonesian contexts.

Screenshot

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

Page Load Overview

15.01s
Total Load Time
39
HTTP Requests
11
Domains
13.5 MB
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:9,560 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service84% confidence
Type: webapp
Method: ml+structural

All Detected Categories

government public service
84%
healthcare medical
63%
documentation technical
48%
government
48%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
39142.250.185.163United States
AS15169GOOGLE
0216.58.206.74United States
AS15169GOOGLE
052.216.28.190Ashburn, Virginia, United States
AS16509AMAZON-02
018.66.102.101United States
AS16509AMAZON-02
0142.250.185.138United States
AS15169GOOGLE
034.36.81.12Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
0142.250.185.234United States
AS15169GOOGLE
0142.250.185.227United States
AS15169GOOGLE
0142.250.186.136United States
AS15169GOOGLE
034.160.89.110Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
3953--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17564D872E1D053F4C44B43F4B665DE39A4AADEE3E10BC08473BE66919BA1CD94C17EA0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:UL/7Z7e7jb23bP8Cjb23b5EBrjb23bAbKp081sh6xvc2VII4NlvAczJxMS9cGCs3:y7ZnkPciLzn4QUQwv6B3TT+m7G

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:326762:ZIAAHCQiiSRQoKAEsjBJAGJQtZnJshyyKOGKECEESTQmGqYIImQjJODZgDiEtgEQoJaWAMFEYUgAARoIRhJJ8EBACWVFFJCg

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:ffffff0040400000
Perceptual Hash:80ffbff0600f60f0
Difference Hash:2c20cdf198987adf
Wavelet Hash:ffffff006f440000
Color Hash:#2d8646

Scan History

Scan history not available

Unable to load historical scan data