Security Scan Report: www.redfordtwp.gov

Bot Protection Detected

This website is protected by Cloudflare bot protection. The screenshot and page details below show the page as it was captured.

Submitted: Completed: publiccompleted
This website contacted 12 IPs in 1 country across 2 domains to perform 11 HTTP transactions. The main domain is redfordtwp.gov and was registered 1 year 10 months ago.

Submitted URL: https://www.redfordtwp.gov/Calendar.aspx?EID=1655

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Official Redford Township (.gov) municipal event calendar page for its own Oktoberfest. No credential/payment forms, no Indicators of Compromise, no malware. Circular redirect and bot-check are benign; site is legitimate.

Safety Factors (6)
Official .gov government domain matching the displayed township brand (self-branding)
Domain age 656 days (established)
No forms capturing credentials or payment data
No threat-intelligence, YARA, IDS, or Safe Browsing hits
Content corroborated by real-world municipality details (address, phone, hours)
Scanner/client mismatch consistent with normal Cloudflare bot protection, not evasion
Domain age information unavailable

Details

Page Title

Calendar • Annual Oktoberfestother network

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.redfordtwp.gov' on the United States government-restricted top-level domain (.gov) with subdomain 'www'. Its registrable label 'redfordtwp' stretches across 10 characters split between two vowels and 8 consonants. It segments into three words: redford, t, wp. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.redfordtwp.gov/Calendar.aspx?EID=1655

Page Load Overview

0.43s
Total Load Time
955 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:390 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software80% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
80%
government public service
58%
government
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11172.64.153.196Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
03.174.46.7Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
0142.251.13.97Google · CDNUnited States
AS15169Google LLC
0150.171.110.49Azure · CLOUDUnited States
AS8075Microsoft Corporation
034.98.105.146Google · CDNKansas City, Missouri, United States
AS396982Google LLC
0192.178.183.95Google · CDNUnited States
AS15169Google LLC
0192.178.183.94Google · CDNUnited States
AS15169Google LLC
0216.239.32.36Google · CDNUnited States
AS15169Google LLC
035.190.93.146Google · CDNKansas City, Missouri, United States
AS396982Google LLC
0104.18.34.60Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1112--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12CB34D54AF9C1937C223029CE6BAB2CC346ED677E602CC85FDFD89502FD1D9489295E8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:76x2zMkAdtjeVAdLd/VPWE93cfkbJVnl5B3Y1Mn:7xzefNL93b21K

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:110740:AFQhgvI8ITFICAChhgcGoqoQRAEEAAgYJLBSgKOYRgKcFiDAoCASZlIyGjYKgEHaeSwAFhMXgBToSgTJ/UNIkZJAQgUOAMxV

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:00ffff9d83f3ffbf
Perceptual Hash:bf5056651e5a4671
Difference Hash:cc0061393e466660
Wavelet Hash:00fe80898ba3bbbf
Color Hash:#6ce0d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data