Security Scan Report: app3.greenhouse.io

Redirected to:
https://app3.greenhouse.io/users/sign_in
Site favicon
Submitted: Jun 20, 2026, 1:11:56 AMCompleted: Jun 20, 2026, 1:13:32 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 app3.greenhouse.io and was registered NaN years ago.

Submitted URL: https://app3.greenhouse.io

Effective URL: https://app3.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: 95%

0
Risk Score

Legitimate login page for Greenhouse Recruiting; no phishing or malware indicators detected.

Safety Factors
Brand domain alignment
Long domain age and reputable ranking
No malicious technical signals
Domain age information unavailable

Details

Page Title

Sign In | Greenhouse Recruiting

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

government public service

(32%)

Domain Information

The domain 'app3.greenhouse.io' uses the British Indian Ocean Territory country-code top-level domain (.io) with subdomain 'app3'. The core label 'greenhouse' covers 10 characters containing 5 vowels alongside five consonants. Word splitting yields 1 word: greenhouse. Expect ten characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app3.greenhouse.io

Page Load Overview

7.91s
Total Load Time
30
HTTP Requests
6
Domains
6.4 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:265 chars
Detector Agreement:75%

Website Classification

Primary Category

government public service32% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
32%
adult content
28%
technology software
27%
documentation technical
25%
social_media
25%

Detected Features

Login Form
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1065.9.175.35United States
AS16509Amazon.com, Inc.
10146.75.122.133Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
10142.251.110.97United States
AS15169Google LLC
303--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AAF29742B4188D9308535FDDD5FBDE0A6878F34BE76A8CD078FCA6705F988A63412389

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:OzVQ4wrjzLTX7rjDn57ypjaCKKieZxw+5ldV1Vngmtxqs+kslt+58Vyu4f989498:OzVQ4wrjzLTX7rjDn57ypjaCKKieZxwd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:37565:GJYIACBiMI0i0yYIEYgBpByMYpgkBoRNgiBEjmhDKFUYQWgEjQEmHliAZAAAtkkdEEAFRteCORgsEAFghvAYRKVdEAKQCkgp

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:0f0f1f9b1f0f2f0f
Perceptual Hash:bc6cc3321ec33cc6
Difference Hash:5a9a33333e365a1a
Wavelet Hash:0f0f0f0b0f0f2f0f
Color Hash:#2d8664

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data