Security Scan Report: job-seekers.cdn.greenhouse.io

Submitted: Dec 23, 2025, 5:50:55 PMCompleted: Dec 23, 2025, 5:51:51 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is job-seekers.cdn.greenhouse.io and was registered NaN years ago.

Submitted URL: https://job-seekers.cdn.greenhouse.io

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

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well-established domain age
High Cisco Umbrella ranking
No malicious Indicators of Compromise
No credential or payment forms
Standard 404 response
Domain age information unavailable

Details

Page Title

404 Not Found

Scan Type

public

Language

🇩🇪

German

(29% confidence)

Category

documentation technical

(45%)

Domain Information

Domain 'job-seekers.cdn.greenhouse.io' uses the British Indian Ocean Territory country-code top-level domain (.io) with subdomain 'job-seekers.cdn'. The registrable portion 'greenhouse' spans 10 characters containing five vowels alongside 5 consonants. Splitting it apart reveals one word: greenhouse. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://job-seekers.cdn.greenhouse.io

Page Load Overview

0.54s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:29%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:29%
Script Type:Latin
Text Length:133 chars
Detector Agreement:50%

Website Classification

Primary Category

documentation technical45% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
45%
technology software
40%
cryptocurrency blockchain
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2146.75.122.133Frankfurt am Main, Hesse, Germany
AS54113FASTLY
21--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EBD02E2EC2A309CE001261504AC4EB800D4C820BA51F80A33A4080369F89178D8CB3DA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxAGObRRAEdpsLsbtiRZKebXcnzobiR9vwbl3TEHKqz:kxxeRRAEdeAtyZKebX08bc94bljs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:a1b44e794875d18142a87b63e622782f

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:3f00ffffffffffff
Perceptual Hash:8101010307dfffff
Difference Hash:c0c0000000000000
Wavelet Hash:3c00fcfcf0f0f0f0
Color Hash:#931f3e

Other Hashes

Crop Resistant:c0c0000000000000

Scan History

Scan history not available

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