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what is openhound-jamf fr?

specterops/openhound-jamf — explained in plain English

Analysis updated 2026-07-18 · repo last pushed 2026-07-13

2PythonAudience · ops devopsComplexity · 4/5ActiveSetup · hard

tl;dr

A Python tool that pulls device and configuration data from Jamf Pro (an Apple device management platform) and converts it into a format that BloodHound can display, helping security teams map attack paths involving Macs, iPhones, and iPads.

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  root((repo))
    What it does
      Pulls data from Jamf Pro
      Converts to BloodHound format
      Maps Apple device attack paths
    Tech stack
      Python 3.13
      DLT Data Load Tool
      BloodHound graph
    Use cases
      Spot privilege escalation via Macs
      Visualize Apple fleet relationships
      Enrich BloodHound with Jamf data
    Audience
      Security teams
      IT administrators
    Setup
      Needs Jamf Pro access
      External docs for setup

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what do people make with this?

VIBE 1

Feed Jamf-managed Apple device data into BloodHound to visualize potential attack paths involving Macs, iPhones, and iPads.

VIBE 2

Identify whether a compromised Mac could give an attacker a path to broader corporate network resources.

VIBE 3

Map configuration profiles and user assignments from Jamf Pro as nodes and edges in a BloodHound graph.

VIBE 4

Integrate Apple fleet visibility into an existing BloodHound attack-path mapping workflow used by security teams.

what's the stack?

PythonDLTBloodHound

how it stacks up fr

specterops/openhound-jamf0-bingwu-0/live-interpreter0xkaz/llm-governance-dashboard
Stars222
LanguagePythonPythonPython
Last pushed2026-07-13
MaintenanceActive
Setup difficultyhardmoderatehard
Complexity4/52/54/5
Audienceops devopsgeneralops devops

Figures from each repo's GitHub metadata at analysis time.

how do i run it?

Difficulty · hard time til it works · 1h+

Requires access to a Jamf Pro instance, a running BloodHound environment, and OpenHound framework setup, documentation is external and sparse.

in plain english

OpenHound Jamf is a tool that pulls device and configuration data from Jamf Pro, a popular management platform for Apple devices in corporate environments, and shapes it into a format that BloodHound can understand. BloodHound, made by SpecterOps, is a security tool that maps out relationships in a network so defenders can spot paths an attacker might take to escalate privileges or reach sensitive systems. This connector extends that visibility to Macs, iPhones, and iPads managed by Jamf. At a high level, the tool collects resources from Jamf Pro (things like enrolled devices, configuration profiles, and user assignments) and converts them into "nodes and edges", essentially dots and connecting lines that represent entities and their relationships. OpenHound, the broader framework this tool plugs into, standardizes that collection-and-conversion process so data from different sources can all flow into BloodHound's graph in a consistent way. The people who would use this are security teams and IT administrators who already rely on BloodHound for mapping attack paths and also use Jamf to manage their Apple fleet. For example, if a company wants to understand whether a compromised Mac could give an attacker a path to broader network resources, this connector feeds the Jamf-side data into BloodHound so those relationships become visible alongside everything else in the graph. The project is built in Python and runs on Python 3.13. It leverages a data pipeline library called DLT (Data Load Tool) to handle the mechanics of collecting and moving the data. Beyond that, the README is fairly sparse, it directs readers to OpenHound's external documentation for setup and usage details rather than walking through them itself.

prompts (copy fr)

prompt 1
I have OpenHound Jamf set up with my Jamf Pro instance. Help me write a Python script that uses the DLT pipeline to collect all enrolled devices and configuration profiles, then output them as BloodHound-compatible nodes and edges.
prompt 2
I'm a security analyst using BloodHound to map attack paths. Walk me through how to configure OpenHound Jamf so that data from my corporate Apple fleet flows into my existing BloodHound graph.
prompt 3
Help me understand the relationship between Jamf Pro resources like devices, configuration profiles, and user assignments, and how OpenHound Jamf converts each into BloodHound nodes and edges.
prompt 4
I want to extend OpenHound Jamf to collect an additional Jamf Pro resource type. Show me how to add a new DLT source that fetches and transforms that data into BloodHound graph format.

Frequently asked questions

what is openhound-jamf fr?

A Python tool that pulls device and configuration data from Jamf Pro (an Apple device management platform) and converts it into a format that BloodHound can display, helping security teams map attack paths involving Macs, iPhones, and iPads.

What language is openhound-jamf written in?

Mainly Python. The stack also includes Python, DLT, BloodHound.

Is openhound-jamf actively maintained?

Active — commit in last 30 days (last push 2026-07-13).

How hard is openhound-jamf to set up?

Setup difficulty is rated hard, with roughly 1h+ to a first successful run.

Who is openhound-jamf for?

Mainly ops devops.

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