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https://github.com/BlackLight/Snort_AIPreproc.git
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Python module rewritten in pure Python
This commit is contained in:
parent
95db8a6486
commit
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12 changed files with 190 additions and 164 deletions
27
README
27
README
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@ -582,15 +582,16 @@ libsf_ai_preproc.la if you want to use some of the functions from the module,
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database, the current correlations, and so on.
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It is also possible to write your own modules in Python language. See the file
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'example.py' in corr_modules/ for a quick overview. All you need to do is to
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declare in your module the functions AI_corr_index (taking two arguments, two
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alert descriptions) and AI_corr_index_weight (taking no argument),
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both returning a real value descibing, respectively, the correlation
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value between the two alerts and the weight of that index, both between
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0 and 1. You can also access the alert information and all the alerts
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acquired so far by the module by importing in your Python code the
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'snortai' module. You can compile it and install it by moving to
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'pymodule/' directory and running
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'example_module.py' in corr_modules/ for a quick overview. All you need to
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do is to declare in your module the functions AI_corr_index (taking two
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arguments, two alert descriptions) and AI_corr_index_weight
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(taking no argument), both returning a real value descibing,
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respectively, the correlation value between the two alerts and the
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weight of that index, both between 0 and 1. You can also access the
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alert information and all the alerts acquired so far by the module
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by importing in your Python code the 'snortai' module. You can
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compile it and install it by moving to 'pymodule/'
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directory and running
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$ python setup.py build
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$ [sudo] python setup.py install
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@ -604,10 +605,10 @@ alerts = snortai.alerts()
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for alert in alerts:
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# Access the alerts information
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The fields in the alert class can be viewed in pymodule/module.py and
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corr_modules/example.py examples. Take these files as guides for interfacing
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your Python scripts with SnortAI module or writing new correlation modules in
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Python.
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The fields in the alert class can be viewed in
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pymodule/test.py and corr_modules/example_module.py examples. Take these
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files as guides for interfacing your Python scripts with SnortAI module
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or writing new correlation modules in Python.
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===========================
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@ -1,28 +0,0 @@
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#!/usr/bin/python
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# Example correlation index in Python
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# XXX You may have an 'undefined reference to PyNone_Struct
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# after running Snort with your module, you're facing an
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# annoying bug due to the dynamically linked Python library.
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# I'm sorry, but I'm still looking for a solution for this,
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# and anyway it only happens when you import the module
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# 'snortai'
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# import snortai
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# Function that takes two alerts as arguments (arguments of
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# alert object:
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# id, gid, sid, rev, description, priority, classification,
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# timestamp, from, to, from_port, to_port, latitude,
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# longitude, alerts_count) and returns a correlation index
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# between 0 and 1 expressing how correlated these two alerts are
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def AI_corr_index ( alert1, alert2 ):
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return 0.0
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# Return the weight of this index, between 0 and 1
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def AI_corr_index_weight():
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return 0.0
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34
corr_modules/example_module.py
Normal file
34
corr_modules/example_module.py
Normal file
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@ -0,0 +1,34 @@
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#!/usr/bin/python
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# Example correlation index in Python
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# It simply does nothing (both the correlation index
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# and the correlation weight are zero), use it as
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# track for writing your own correlation modules
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# Go to pymodule and run
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# $ python setup.py build
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# $ [sudo] python setup.py install
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# in order to build and install the snortai Python module
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import snortai
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# Function that takes two alerts as arguments (arguments of
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# alert object:
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# id, gid, sid, rev, description, priority, classification,
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# timestamp, src_addr, dst_addr, src_port, dst_port, latitude,
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# longitude) and returns a correlation index between 0 and 1
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# expressing how correlated these two alerts are
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def AI_corr_index ( alert1, alert2 ):
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# alerts = snortai.alerts()
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# for alert in alerts:
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# do_something
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#
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# print alert1.gid, alert1.sid, alert1.rev
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# print alert2.gid, alert2.sid, alert2.rev
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return 0.0
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# Return the weight of this index, between 0 and 1
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def AI_corr_index_weight():
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return 0.0
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@ -385,8 +385,8 @@ AI_alert_correlation_thread ( void *arg )
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double (**corr_weights)() = NULL;
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#ifdef HAVE_LIBPYTHON2_6
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PyAlert *pyA = NULL,
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*pyB = NULL;
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PyObject *pyA = NULL,
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*pyB = NULL;
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PyObject *pArgs = NULL,
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*pRet = NULL;
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@ -556,7 +556,8 @@ AI_alert_correlation_thread ( void *arg )
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}
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}
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free ( pyA ); free ( pyB );
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Py_DECREF ( pyA ); Py_DECREF ( pyB );
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/* free ( pyA ); free ( pyB ); */
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pyA = NULL; pyB = NULL;
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}
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}
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62
modules.c
62
modules.c
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@ -99,37 +99,61 @@ AI_get_py_weights ( size_t *n_functions )
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/**
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* \brief Convert an AI_snort_alert object to a PyAlert object that can be managed by a Python module
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* \param alert AI_snort_alert object to be converted
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* \return A PyAlert object wrapping the original AI_snort_alert object
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* \return A PyObject object wrapping the original AI_snort_alert object
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*/
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PyAlert*
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PyObject*
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AI_alert_to_pyalert ( AI_snort_alert *alert )
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{
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PyAlert *pyalert = NULL;
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PyObject *pyalert = NULL;
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PyObject *pMod = NULL,
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*pObj = NULL,
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*pArgs = NULL;
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char src_addr[INET_ADDRSTRLEN] = { 0 },
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dst_addr[INET_ADDRSTRLEN] = { 0 };
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if ( !( pyalert = (PyAlert*) malloc ( sizeof ( PyAlert ))))
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if ( !( pMod = PyImport_ImportModule ( "snortai" )))
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{
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AI_fatal_err ( "Fatal dynamic memory allocation error", __FILE__, __LINE__ );
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PyErr_Print();
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AI_fatal_err ( "Could not load Python module 'snortai'", __FILE__, __LINE__ );
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}
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inet_ntop ( AF_INET, &(alert->ip_src_addr), src_addr, INET_ADDRSTRLEN );
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inet_ntop ( AF_INET, &(alert->ip_dst_addr), dst_addr, INET_ADDRSTRLEN );
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if ( !( pObj = PyObject_GetAttrString ( pMod, "alert" )))
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{
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PyErr_Print();
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AI_fatal_err ( "'alert' object not found in the Python module 'snortai'", __FILE__, __LINE__ );
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}
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pyalert->classification = alert->classification ? PyString_FromString ( alert->classification ) : Py_None;
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pyalert->clusteredAlertsCount = alert->grouped_alerts_count;
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pyalert->desc = alert->desc ? PyString_FromString ( alert->desc ) : Py_None;
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pyalert->gid = alert->gid;
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pyalert->ip_src_addr = ( strlen ( src_addr ) > 0 ) ? PyString_FromString ( src_addr ) : Py_None;
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pyalert->ip_dst_addr = ( strlen ( dst_addr ) > 0 ) ? PyString_FromString ( dst_addr ) : Py_None;
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pyalert->priority = alert->priority;
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pyalert->rev = alert->rev;
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pyalert->sid = alert->sid;
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pyalert->tcp_src_port = ntohs ( alert->tcp_src_port );
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pyalert->tcp_dst_port = ntohs ( alert->tcp_dst_port );
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pyalert->timestamp = alert->timestamp;
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Py_DECREF ( pMod );
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if ( !( pArgs = Py_BuildValue ( "(OOOOOOOOOOOOO)",
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Py_None,
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PyLong_FromUnsignedLong ( alert->gid ),
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PyLong_FromUnsignedLong ( alert->sid ),
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PyLong_FromUnsignedLong ( alert->rev ),
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PyLong_FromUnsignedLong ((long int) alert->priority ),
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alert->classification ? PyString_FromString ( alert->classification ) : Py_None,
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alert->desc ? PyString_FromString ( alert->desc ) : Py_None,
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PyString_FromString ( src_addr ),
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PyString_FromString ( dst_addr ),
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PyLong_FromLong ((long int) ntohs ( alert->tcp_src_port )),
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PyLong_FromLong ((long int) ntohs ( alert->tcp_dst_port )),
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Py_None,
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Py_None )))
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{
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PyErr_Print();
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AI_fatal_err ( "Could not initialize the argument list for calling the Python 'alert' constructor", __FILE__, __LINE__ );
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}
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if ( !( pyalert = PyObject_CallObject ( pObj, pArgs )))
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{
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PyErr_Print();
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AI_fatal_err ( "Could not call the constructor over the Python object 'alert'", __FILE__, __LINE__ );
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}
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Py_DECREF ( pArgs ); Py_DECREF ( pObj );
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return pyalert;
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} /* ----- end of function AI_alert_to_pyalert ----- */
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#endif
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for alert in alerts:
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# Access the information
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print alert.gid, alert.sid, alert.rev
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The alert class has the following members:
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# id, gid, sid, rev, description, priority, classification, timestamp
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# from, to, from_port, to_port, latitude, longitude, alerts_count
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# src_addr, dst_addr, src_port, dst_port, latitude, longitude
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#!/usr/bin/python
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# Compile snortai module by typing, in pymodule directory:
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# $ python setup.py build
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# $ [sudo] python setup.py install
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import snortai
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# Get the alerts from Snort module as tuple
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# (IMPORTANT: Snort and SnortAI module, as well as
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# the web server running on top of the module, must
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# be running in order to have this call successful)
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alerts = snortai.alerts()
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# Navigate the tuple of alerts
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# Fields:
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# id, gid, sid, rev, description, priority, classification,
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# timestamp, from, to, from_port, to_port, latitude,
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# longitude, alerts_count
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for alert in alerts:
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print alert.gid, alert.sid, alert.rev, alert.description
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#!/usr/bin/python
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#!/usr/bin/env python
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from distutils.core import setup, Extension
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import commands
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import re
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xml_include = commands.getoutput ( 'pkg-config --cflags libxml-2.0' )
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m = re.match ( '^-I\s*(.+?)\s*$', xml_include )
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if m:
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xml_include = m.group ( 1 )
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xml_libs = commands.getoutput ( 'pkg-config --libs libxml-2.0' )
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m = re.match ( '^-l\s*(.+?)\s*$', xml_libs )
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if m:
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xml_libs = m.group ( 1 )
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setup (
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name = 'snortai',
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description = 'Python interface to SnortAI module',
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author = 'Fabio "BlackLight" Manganiello',
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author_email = 'blacklight@autistici.org',
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ext_modules = [
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Extension (
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'snortai',
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sources = ['snortai_module.c'],
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include_dirs = ['..', '../include', '../uthash', xml_include],
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libraries = [xml_libs]
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)
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]
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packages = ['snortai']
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)
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57
pymodule/snortai/__init__.py
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57
pymodule/snortai/__init__.py
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#!/usr/bin/python
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import urllib
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import xml.dom.minidom as xml
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class alert:
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"""Class that models a Snort alert type"""
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def __init__ ( self, id = None, gid = None, sid = None, rev = None,
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priority = None, classification = None, description = None,
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src_addr = None, dst_addr = None, src_port = None, dst_port = None,
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latitude = None, longitude = None, ):
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self.id = id
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self.gid = gid
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self.sid = sid
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self.rev = rev
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self.priority = priority
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self.latitude = latitude
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self.longitude = longitude
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self.description = description
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self.classification = classification
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self.src_addr = src_addr
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self.dst_addr = dst_addr
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self.src_port = src_port
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self.dst_port = dst_port
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resource_url = 'http://localhost:7654/alerts.cgi'
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response_text = None;
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def alerts():
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url = urllib.urlopen ( resource_url )
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response_text = url.read()
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document = xml.parseString ( response_text )
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alerts = []
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for element in document.getElementsByTagName ( 'alert' ):
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a = alert()
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for attr in element.attributes.keys():
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if attr in ['id', 'gid', 'sid', 'rev', 'priority', 'latitude', 'longitude', 'classification']:
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setattr ( a, attr, element.attributes[attr].value )
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elif attr == 'date':
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setattr ( a, 'timestamp', element.attributes[attr].value )
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elif attr == 'label':
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setattr ( a, 'description', element.attributes[attr].value )
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elif attr == 'from':
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setattr ( a, 'src_addr', element.attributes[attr].value )
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elif attr == 'to':
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setattr ( a, 'dst_addr', element.attributes[attr].value )
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elif attr == 'from_port':
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setattr ( a, 'src_port', element.attributes[attr].value )
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elif attr == 'to_port':
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setattr ( a, 'dst_port', element.attributes[attr].value )
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alerts.append ( a )
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return alerts
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* =====================================================================================
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*/
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/* This is the old C-based module for Python interface to SnortAI
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* and it is now completely *DEPRECATED* and kept only for
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* back-compatibility purposes. Use the pure Python interface
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* instead, running python setup.py build && sudo python setup.py install
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* will build and install the new Python module */
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#ifndef HAVE_LIBPYTHON2_6
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#define HAVE_LIBPYTHON2_6 1
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#endif
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8
pymodule/test.py
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8
pymodule/test.py
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#!/usr/bin/python
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import snortai
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alerts = snortai.alerts()
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for alert in alerts:
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print alert.gid, alert.sid, alert.rev
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76
spp_ai.h
76
spp_ai.h
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#include <netinet/in.h>
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#include <pthread.h>
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/*******************************************/
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#ifdef HAVE_LIBPYTHON2_6
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/* Avoid conflicts with Snort header files */
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#ifdef _POSIX_C_SOURCE
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#undef _POSIX_C_SOURCE
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#endif
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#ifdef _XOPEN_C_SOURCE
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#undef _XOPEN_C_SOURCE
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#endif
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#ifdef _XOPEN_SOURCE
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#undef _XOPEN_SOURCE
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#endif
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#include <Python.h>
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#endif
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/*******************************************/
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#define PRIVATE static
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/** Default interval in seconds for the thread cleaning up TCP streams */
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UT_hash_handle hh;
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} AI_alert_type_pair;
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/*****************************************************************/
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#ifdef HAVE_LIBPYTHON2_6
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/*******************************************/
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/* Avoid conflicts with Snort header files */
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#ifdef _POSIX_C_SOURCE
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#undef _POSIX_C_SOURCE
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#endif
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#ifdef _XOPEN_C_SOURCE
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#undef _XOPEN_C_SOURCE
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#endif
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#ifdef _XOPEN_SOURCE
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#undef _XOPEN_SOURCE
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#endif
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/*******************************************/
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#include <Python.h>
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/** Definition of the alert type for Python binding */
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typedef struct _PyAlert
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{
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PyObject_HEAD
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unsigned int id;
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/* Identifiers of the alert */
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unsigned int gid;
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unsigned int sid;
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unsigned int rev;
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/* Snort priority, description,
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* classification and timestamp
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* of the alert */
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unsigned short priority;
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PyObject* desc;
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PyObject* classification;
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time_t timestamp;
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PyObject* ip_src_addr;
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PyObject* ip_dst_addr;
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unsigned short tcp_src_port;
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unsigned short tcp_dst_port;
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double latitude;
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double longitude;
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unsigned int clusteredAlertsCount;
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struct _PyAlert *next;
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} PyAlert;
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#endif
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/*****************************************************************/
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/** Enumeration for describing the table in the output database */
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enum { ALERTS_TABLE, IPV4_HEADERS_TABLE, TCP_HEADERS_TABLE, PACKET_STREAMS_TABLE, CLUSTERED_ALERTS_TABLE, CORRELATED_ALERTS_TABLE, N_TABLES };
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@ -678,7 +642,7 @@ double(**AI_get_corr_weights ( size_t* ))( void );
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PyObject** AI_get_py_functions ( size_t* );
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PyObject** AI_get_py_weights ( size_t* );
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PyAlert* AI_alert_to_pyalert ( AI_snort_alert* );
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PyObject* AI_alert_to_pyalert ( AI_snort_alert* );
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#endif
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