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One Month Bug Bounty Journey Update

My goal with this is to explain some of my thoughts and how they changed as I progressed and how I modified my path along the way. For we…Continue reading on Medium »
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KitPloit - PenTest Tools!
ADExplorerSnapshot.py - An AD Explorer Snapshot Parser. It Is Made As An Ingestor For BloodHound, And Also Supports Full-Object Dumping To NDJSON

https://blogger.googleusercontent.com/img/a/AVvXsEiOK1B9BJvsEPQubKxYuCIagmJ7ZV1hq9w1SNmcQFbXZavPiOhIfemYEzUfUeyHkBZ1Ew9C8vx9j1olExRRXriJ6il0nI93FJnv5pRAR-Qkcuw7Fj5yOVFFyXBI2lfL4R04X4tSupTwc8_FeNEn3E4pq-9GxMt0VCGSbCko4QR2tdPe2GW9bNhNfwS4=w640-h466 ADExplorerSnapshot.py is an AD Explorer snapshot parser. It is made as an ingestor for BloodHound, and also supports full-object dumping to NDJSON.

AD Explorer allows you to connect to a DC and browse LDAP data. It can also create snapshots of the server you are currently attached to. This tool allows you to convert those snapshots to BloodHound-compatible JSON files, or dump all available objects in the snapshot to NDJSON for easier processing. What is supportedIn BloodHoundoutput mode:

* Users collection
* Groups collection
* Computers collection
* Trusts collection (as visible from the LDAP DC you are connected to)

In Objectsoutput mode, all attributes for every object are parsed and outputted to NDJSON format. LimitationsThe ingestor for BloodHound only supports offline information collection from the snapshot file and won't interact with systems on the network. That means features like session and localadmin collection are not available. GPO/OU collection is missing. The ingestor processes all data it possibly can from the snapshot (including ACLs), but will only output the JSON data that can be interpreted by BloodHound. You will only have the data available of the LDAP/DC that you ran the snapshot against. InstallationADExplorerSnapshot.py supports Python 3.6+. Dependencies are managed via pip. git clone https://github.com/c3c/ADExplorerSnapshot.py.git
cd ADExplorerSnapshot.py
pip3 install --user .
Usageusage: ADExplorerSnapshot.py [-h] [-o OUTPUT] [-m {BloodHound,Objects}] snapshot

ADExplorerSnapshot.py is an AD Explorer snapshot parser. It is made as an ingestor for BloodHound, and also supports full-object dumping to NDJSON.

positional arguments:
snapshot Path to the snapshot .dat file.

optional arguments:
-h, --help show this help message and exit
-o OUTPUT, --output OUTPUT
Path to the *.json output folder. Folder will be created if it doesn't exist.
Defaults to the current directory.
-m {BloodHound,Objects}, --mode {BloodHound,Objects}
The output mode to use. Besides BloodHound JSON output files, it is possible
to dump all objects with all attributes to NDJSON.
Defaults to BloodHound output mode .
https://blogger.googleusercontent.com/img/a/AVvXsEilbLSDK-NXf3MghhKSJgHAoYkzgI0QPCEZWF-HJa20C3mWIf7TPPZS1Dshi33S6inZKvD173b3UieyjxSaoCMfLzme1OLT5YOGrAlnI0y-f7dxc3CbJOqh6Db_eZut0LatUrqwy8evaUoyFP4lytiBcakSuj50H83EWEnWNso7gpkENdg8AMmrjdl2=w640-h112 NotesThis library is now supporting the BloodHound v4.1+ output format (JSON format v4). For the old v3 output format, you can use the code in the v3-format branch.

Making snapshots in AD Explorer is more network-intensive than the traditional BloodHound ingestors as it attempts to retrieve all objects it can from the LDAP.

ADExplorerSnapshot.py will create caches of information for quicker lookups while processing the data. Especially when processing larger snapshots (e.g. 4GB+) you will also need to have sufficient RAM available. In my tests, about half of the snapshot file size was required in RAM.

The library was tested with a number of data sets, please create an issue report if you run into problems.

The AD Explorer snapshot parser is implemented as its own module, which could also be used individually.

The format in which snapshots are stored by AD Explorer is proprietary and led to a fun reverse engi[...]

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Hacking Articles Tips Tricks Videos Tutorials
KitPloit - PenTest Tools! ADExplorerSnapshot.py - An AD Explorer Snapshot Parser. It Is Made As An Ingestor For BloodHound, And Also Supports Full-Object Dumping To NDJSON https://blogger.googleusercontent.com/img/a/AVvXsEiOK1B9BJvsEPQubKxYuCIagmJ7ZV1hq9…
neering journey. A 010 editor template is included in this repository, which I used for iteratively mapping out the contents of the snapshot into structs. License and creditsThis code is licensed under the MIT license and makes use of code that is also licensed under the MIT license.

ADExplorerSnapshot.py relies on the following projects:

* BloodHound.py (the Python BloodHound ingestor): for processing LDAP data.
* dissect.cstruct (C-style binary struct parser): for parsing the binary snapshot data.

Credits:

* Cedric Van Bockhaven (Deloitte) for implementation
* Marat Nigmatullin (Deloitte) for the idea Download ADExplorerSnapshot.py

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hacking: security in practice
Why is it important to sanitize puppeteer protocols?

So I'm doing a CTF and given past experience, whenever a URL is sent to a puppeteer browser to do whatever, I always notice that the protocol is sanitized to be either http or https.

It's reasonable why, but if the protocol isn't sanitized, what vulnerabilities do that open up for an attacker? I'm not looking for like, the answer (since again it's an ongoing competition and I don't wanna cheat), but I can't seem to find much of anything besides chromeftpand data, all of which turned out to be useless for the context of this challenge.

submitted by /u/TheByteQueen
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