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Security Scan Report: onboarding.greenhouse.io

Redirected to:
https://onboarding.greenhouse.io/users/sign_in
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Submitted: Jun 14, 2026, 12:32:01 AMCompleted: Jun 14, 2026, 12:33:10 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 2 HTTP transactions. The main domain is onboarding.greenhouse.io and was registered NaN years ago.

Submitted URL: https://onboarding.greenhouse.io

Effective URL: https://onboarding.greenhouse.io/users/sign_inRedirected

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

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Legitimate Greenhouse onboarding page with no malicious indicators.

Safety Factors
Well‑established subdomain of greenhouse.io
Legitimate brand presence with self‑branding
No suspicious external links or redirects
Domain age information unavailable

Details

Page Title

Sign In | Greenhouse Onboarding

Scan Type

public

Language

🇺🇸

English

(60% confidence)

Category

technology software

(28%)

Domain Information

Domain 'onboarding.greenhouse.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'onboarding'. Count 10 characters in 'greenhouse' split between five vowels and 5 consonants. Breaking it apart gives one word: greenhouse. Expect ten characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://onboarding.greenhouse.io

Page Load Overview

2.39s
Total Load Time
15
HTTP Requests
5
Domains
2.8 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:60%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:60%
Script Type:Latin
Text Length:200 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software28% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.250.154.97United States
AS15169Google LLC
5146.75.122.133Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
513.226.244.16United States
AS16509Amazon.com, Inc.
153--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T182D1865660B60627016B78A49BF6B70F3852D307C9C9DE9878FCC5D81F84D8B8C076AD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:UKXRF7ahloCO52NHRMezzk3XFMQ0MuaFjhL:vShloCO52NHRMezzk3XFMuuOjx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6608:QwQEYAVEiCBFgQqCwIgQCqRBAABhIQQRgoBMADIwgBZmOQGGKh0DWAINwiExhEAgAS2gAJFACAIQAMQCKFJGiQDFReFRQbTI

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:0f0f0f0f0f2f0f0f
Perceptual Hash:933c1ec338c7c738
Difference Hash:5a5a5adbdbde5a9a
Wavelet Hash:0f0f0f0f0f0f0f0f
Color Hash:#931f70

Other Hashes

Crop Resistant:80a8b83c1c28a880,747178b4343436b6,244a996969395926

Scan History

Scan history not available

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