Security Scan Report: app2.greenhouse.io

Submitted: Dec 21, 2025, 10:48:02 AMCompleted: Dec 21, 2025, 10:52:25 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 4 domains to perform 20 HTTP transactions. The main domain is app2.greenhouse.io and was registered NaN years ago.

Submitted URL: https://app2.greenhouse.io

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Greenhouse recruiting login page; no security concerns.

Safety Factors
Established domain with long registration history
Matches official Greenhouse brand domain
No suspicious forms or data collection
No malicious Indicators of Compromise
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

You're looking at domain 'app2.greenhouse.io' on the British Indian Ocean Territory country-code top-level domain (.io); it also runs on subdomain 'app2'. Count 10 characters in 'greenhouse' split between five vowels and 5 consonants. It segments into one word: greenhouse. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app2.greenhouse.io

Page Load Overview

252.69s
Total Load Time
20
HTTP Requests
4
Domains
N/A
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%
social_media
25%
corporate
25%

Detected Features

Login Form
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
43.174.113.68United States
AS16509AMAZON-02
43.174.113.59United States
AS16509AMAZON-02
43.174.118.166United States
AS16509AMAZON-02
4216.58.210.168United States
AS15169GOOGLE
4199.232.174.133Stockholm, Stockholm County, Sweden
AS54113FASTLY
205--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EEF2A952B4188D9308535FDDD5FBDE0A6878F34BE75A8CD078FCA6706F989A63412388

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:bzVQ4wrjzLTX7rjDn57ypjaCKKieZxw+5ldV1VngmtxNsLksltT58Vyu4f98949L:bzVQ4wrjzLTX7rjDn57ypjaCKKieZxwN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:37636:hMIARKhKgYUjQyJKiAYQqgEAJxAsEwoMpeUotJjDEfSBgILk1agEiCYFIUChAGZoUZBhY0XigQghAcgQlQILRsdMlDCJIFQD

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:#931f80

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data