Security Scan Report: www.joinfdny.com

Submitted: Nov 28, 2025, 9:35:00 AMCompleted: Nov 28, 2025, 9:38:32 AMpubliccompleted
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Summary

This website contacted 17 IPs in 2 countries across 8 domains to perform 24 HTTP transactions. The main domain is joinfdny.com and was registered NaN years ago.

Submitted URL: https://www.joinfdny.com/careers/firefighter/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Long‑standing domain registration
Absence of suspicious forms or fields
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Firefighter - JoinFDNY

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(42%)

Domain Information

Domain 'www.joinfdny.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. Its registrable label 'joinfdny' stretches across 8 characters holding two vowels versus six consonants. Tokenizing the label suggests three words: join, fd, ny. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.joinfdny.com/careers/firefighter/

Page Load Overview

1.26s
Total Load Time
24
HTTP Requests
8
Domains
593 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-US
Text Length:18,566 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software42% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
42%
government public service
39%
corporate
35%
news/blog
20%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11162.159.134.42United States
AS13335CLOUDFLARENET
3216.58.212.131United States
AS15169GOOGLE
3157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
2157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
2216.58.206.40United States
AS15169GOOGLE
1216.239.34.36United States
AS15169GOOGLE
1142.250.186.110United States
AS15169GOOGLE
1216.58.206.42United States
AS15169GOOGLE
12a00:1450:4001:810::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
12a03:2880:f084:105:face:b00c:0:3Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
2417--

Detected Technologies6

WordPressv6.8.3
100%
JQueryv3.7.1
100%
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CED3FA53E24160753333816AE1A2BBB8B674B208D7468A71F9F8913E47C67961BF334D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:XxI0C2m8vcLY+vE4fs7Fso/uhE5MNmGHWmoWus/9sU:bbVOfs7Fso/uWMNm6xus/9sU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:134459:miGAIBCEYBAQAQGZGCEBJsMgSCFBSSACBAJgEcjSFEIYApQVSCFhWRVgiNSKjsAIQIwCRqpjDbgDABkgAokAoAAQIiBBAV2W

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:00efffffffffffff
Perceptual Hash:af622a0f6a3a0b7c
Difference Hash:374d0c4d37622709
Wavelet Hash:00e7ffe7033f8301
Color Hash:#1f8293

Other Hashes

Scan History

Scan history not available

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