BTA is an open-source Active Directory security audit framework. Its goal is to help auditors harvest the information they need to answer such questions as:
- Who has rights over a given object (computer, user account, etc.) ?
- Who can read a given mailbox ?
- Which are the accounts with domain admin rights ?
- Who has extended rights (
userForceChangePassword
,SendAs
, etc.) ? - What are the changes done on an AD between two points in time ?
The framework is made of
- an importer able to translate a
ntds.dit
file, containing all the AD data, into a database - tools to query the database
- AD miner framework
- AD diff utility
- small utilities (list of databases, etc.)
The comprehensive set of attributes are imported and can be querried including all schema extensions (Exchange, Sharepoint, etc.).
Each question can be crystallized by an AD expert as a miner, so that it can be used during all audits without doing the hard work again.
Dependencies:
- mongodb (
apt-get install mongodb-server
) - python headers (
apt-get install python-dev
) - libesedb 2012 alpha version [1]
- https://bitbucket.org/iwseclabs/bta/downloads/libesedb-alpha-20120102.tar.gz SHA-1
2aba34b1c9703a28b8913019044efa3ff53428fb
- Build it. Install it or have
LD_LIBRARY_PATH
point to it when usingbtaimport
- https://bitbucket.org/iwseclabs/bta/downloads/libesedb-alpha-20120102.tar.gz SHA-1
Installation:
pip install bta
Dependencies:
- mongodb (
apt-get install mongodb-server python-pymongo
) - libesedb 2012 alpha version [1]
- https://bitbucket.org/iwseclabs/bta/downloads/libesedb-alpha-20120102.tar.gz SHA-1
2aba34b1c9703a28b8913019044efa3ff53428fb
- Build it. Install it or have
LD_LIBRARY_PATH
point to it when usingbtaimport
- https://bitbucket.org/iwseclabs/bta/downloads/libesedb-alpha-20120102.tar.gz SHA-1
- openpyxl (>= 2.0.2)
Installation:
python setup.py install
[1] | (1, 2) support for so called long values is a work in progress in the latest versions and is not working well yet. It is working correctly with 2012 alpha version. |
Goal:
- Clean an AD or an AD forest, looking for
- bad practices
- forgotten entries
- backdoors
- recompromissions
- BTA is an operationnal tool, ought to be
- deterministic, reliable
- running a well established procedure
Audit steps:
- Extract the
ntds.dit
file - Import the
ntds.dit
file in a database - Look for control points in the database
Here is a way to backup NTDS.dit file for a domain controller which is running on Windows 2008. See [2] for more information or for Windows 2003 method.
ntdsutil activate instance ntds ifm create full c:{\bs}NTDS_saved quit quit
[2] | https://www.sstic.org/2012/presentation/audit_ace_active_directory/ |
ntds.dit
is unusable as-is.- one
ntds.dit
is imported into one MongoDB database - ability to import several
ntds.dit
in parallel
Examples:
btaimport -C ::mydb /path/to/ntds.dit btaimport /path/to/*.dit --multi \ --C-from-filename \ "::%s" "basename rmext 'DB' swap plus"
- Querying the database
- analysing control points of a database: btaminer
- analysing differences between 2 bases: btadiff
- miners crystallize expertise
- list of admin accounts
- list of accounts with extended rights
- list of accounts with password errors
- list of various timelines
btaminer -t ReST -C ::AD1 Schema --timelineCS created Analysis by miner [Schema] ========================== +---------------+-----------------------+ | Date | Affected class schema | +===============+=======================+ | 2009-02-11 18 | 234 | | 2011-12-20 00 | 267 | | 2011-12-22 14 | 3 | | 2011-12-23 18 | 46 | +---------------+-----------------------+
- diff
- diff (naive for the moment) between 2 imports at different points in time
- noise filtering
$ btadiff --CA ::ADclean --CB ::ADbackdoor --ignore-defaults =============== Starting diffing sd_table --------------- AB,101: [] *sd_refcount['14'=>'15'] AB,108: [] *sd_refcount['39'=>'41'] A ,229: [] A ,372: [] AB,423: [] *sd_refcount['3'=>'2'] B,424: [] B,425: [] B,428: [] --------------- Table [sd_table]: 160 records checked, 2 disappeared, 3 appeared, 3 changed =============== [...]
=============== Starting diffing datatable --------------- AB,3586: [DC001] *logonCount['116'=>'117'], *lastLogon['130052518207794051L'=>'130052535716737649L'] AB,3639: [RID Set] *rIDNextRID['1153'=>'1154'] AB,8784: [A:[gc]/B:[gc DEL:346bf199-8567-4375-ac15-79ec4b42b270]] +isDeleted, *name["u'gc'"=>"u'gc\\nDEL:346bf199-8"], *dc["u'gc'"=>"u'gc\\nDEL:346bf199-8"] AB,8785: [A:[DomainDnsZones]/B:[DomainDnsZones DEL:58b2962b-708c-4c93-99ff-0b7e163131f9]] +isDeleted, *name["u'DomainDnsZones'"=>"u'DomainDnsZones\\nDE"], *dc["u'DomainDnsZones'"=>"u'DomainDnsZones\\nDE"] AB,8786: [A:[ForestDnsZones]/B:[ForestDnsZones DEL:87f7d8a2-4d05-48d0-8283-9ab084584470]] +isDeleted, *name["u'ForestDnsZones'"=>"u'ForestDnsZones\\nDE"], *dc["u'ForestDnsZones'"=>"u'ForestDnsZones\\nDE"] B,8789: [snorky insomnihack] B,8790: [gc] B,8791: [DomainDnsZones] B,8792: [ForestDnsZones] --------------- Table [datatable]: 7636 records checked, 0 disappeared, 4 appeared, 5 changed ===============
- can give reports in different formats:
- live dump
- ReST document
- zipped tree of CSV files
- audit log of writings in a database
- table consistency checks before mining
- Airbus Group CERT
- Airbus Group Innovations
- Airbus DS CyberSecurity