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Security Scan Report: job-boards.greenhouse.io

Redirected to: https://job-boards.greenhouse.io/scoutmotors

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Submitted: Nov 24, 2025, 7:04:43 AMCompleted: Nov 24, 2025, 7:06:53 AMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 5 domains to perform 24 HTTP transactions. The main domain is job-boards.greenhouse.io and was registered NaN years ago.

Submitted URL: http://job-boards.greenhouse.io/scoutmotors

Effective URL: https://job-boards.greenhouse.io/scoutmotorsRedirected

The Cisco Umbrella rank of the primary domain is #30,901 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate job posting site with no security concerns.

Safety Factors
Established domain with long registration history
Reputable hosting platform (Greenhouse) used for job listings
No sensitive data collection fields present
No redirect chains or suspicious external links
Domain age information unavailable

Details

Page Title

Jobs at Scout Motors

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(50%)

Domain Information

Within the British Indian Ocean Territory country-code top-level domain (.io), 'job-boards.greenhouse.io' is registered with subdomain 'job-boards'. The second-level label 'greenhouse' is 10 characters long holding five vowels versus five consonants. Breaking it apart gives one word: greenhouse. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://job-boards.greenhouse.io/scoutmotors

Page Load Overview

2.85s
Total Load Time
24
HTTP Requests
5
Domains
541 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:6,758 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning50% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
50%
documentation technical
49%
government public service
27%
adult content
26%
corporate business
26%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19146.75.122.133Frankfurt am Main, Hesse, Germany
AS54113FASTLY
83.171.214.56United States
AS16509AMAZON-02
23.171.214.8United States
AS16509AMAZON-02
23.126.42.108Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
23.171.214.3United States
AS16509AMAZON-02
218.213.211.105Ashburn, Virginia, United States
AS14618AMAZON-AES
23.171.214.12United States
AS16509AMAZON-02
198.89.151.25Ashburn, Virginia, United States
AS14618AMAZON-AES
13.73.174.214Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
249--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11E33B776B09872338B334AC8E52AB79C70D6401DE3F6DD725DF94585C780CE25B0AAD9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:9csPXthTWk7Lvxwn6kbP1oTuOMePDq8ej08VBhXRb8mJ3eO17HBmhs2fLjRn1h13:Sctxcebele+teqewK4Jm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:50231:QjSoEAoUKOGINtAgAqLTYAJEAJMKJXYUWCIEJEI8EBAQo6QFWAQooTAApWQgBK2MDSMo8ODAtIRIUAEQYGLCEW2gQQZEL8EE

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:9f8383878787cfff
Perceptual Hash:bc3dc79c8fc206c4
Difference Hash:381e0f3b363e3c2c
Wavelet Hash:9e8383838783c79f
Color Hash:#2da6d2

Other Hashes

Crop Resistant:381e0f3b363e3c2c

Scan History

Scan history not available

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