Security Scan Report: makemeafirefighter.org

Submitted: Nov 28, 2025, 9:41:32 AMCompleted: Nov 28, 2025, 9:46:20 AMpubliccompleted
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Summary

This website contacted 91 IPs in 5 countries across 25 domains to perform 81 HTTP transactions. The main domain is makemeafirefighter.org.

Submitted URL: https://makemeafirefighter.org/

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Find Volunteer Firefighter Jobs | Make Me A Firefighter

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'makemeafirefighter.org' on the non-profit oriented generic top-level domain (.org) while skipping any subdomain. The registrable portion 'makemeafirefighter' spans 18 characters containing eight vowels alongside 10 consonants. Splitting it apart reveals 4 words: make, me, a, firefighter. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://makemeafirefighter.org/

Page Load Overview

1.21s
Total Load Time
81
HTTP Requests
25
Domains
1.4 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:1,299 chars
Detector Agreement:80%

Website Classification

Primary Category

unknown0% confidence
Type: spa
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
1213.35.58.112United States
AS16509AMAZON-02
834.143.76.2United States
AS396982GOOGLE-CLOUD-PLATFORM
6216.239.34.36United States
AS15169GOOGLE
6172.67.68.21United States
AS13335CLOUDFLARENET
552.242.103.142Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
4142.250.185.232United States
AS15169GOOGLE
435.214.165.164Groningen, Groningen, Netherlands
AS15169GOOGLE
3104.16.175.226United States
AS13335CLOUDFLARENET
2157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
8191--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13923A791A984D027B663815E66D1E7083AEAE507EDF3088CF15CD5904FC3D5F2E3A2A9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:7OCh2JcbRrG+tcLROIYbVGn03/B/qhycTXv2taTn4:wJcVS+tclOIYbVOycTXv2taTn4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:48462:IqGFIhGgsHqcFgEggG0XImIAyYQAESw0HIRGyICMtEEeHAEsgMpICK5QgqE2DAyTjknYOxCCAUUCiwUKQGmNtC2CwADdJFTp

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:003c7c7c3c456467
Perceptual Hash:c24f786c2d7c3471
Difference Hash:e1e9cd6959d5d5d5
Wavelet Hash:003c7d3d3d6564e5
Color Hash:#b96ce0

Scan History

Scan history not available

Unable to load historical scan data