In the past, writing Bro scripts with the intent of analyzing file content could be cumbersome because of the fact that the content would be presented in different ways, via events, at the script-layer depending on which network protocol was involved in the file transfer. Scripts written to analyze files over one protocol would have to be copied and modified to fit other protocols. The file analysis framework (FAF) instead provides a generalized presentation of file-related information. The information regarding the protocol involved in transporting a file over the network is still available, but it no longer has to dictate how one organizes their scripting logic to handle it. A goal of the FAF is to provide analysis specifically for files that is analogous to the analysis Bro provides for network connections.
The key events that may occur during the lifetime of a file are:
file_new
, file_over_new_connection
,
file_timeout
, file_gap
, and
file_state_remove
. Handling any of these events provides
some information about the file such as which network
connection
and protocol are transporting the file, how many
bytes have been transferred so far, and its MIME type.
Here’s a simple example:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | file_analysis_01.bro
event connection_state_remove(c: connection)
{
print "connection_state_remove";
print c$uid;
print c$id;
for ( s in c$service )
print s;
}
event file_state_remove(f: fa_file)
{
print "file_state_remove";
print f$id;
for ( cid in f$conns )
{
print f$conns[cid]$uid;
print cid;
}
print f$source;
}
|
1 2 3 4 5 6 7 8 9 10 | # bro -r http/get.trace file_analysis_01.bro
file_state_remove
FakNcS1Jfe01uljb3
CHhAvVGS1DHFjwGM9
[orig_h=141.142.228.5, orig_p=59856/tcp, resp_h=192.150.187.43, resp_p=80/tcp]
HTTP
connection_state_remove
CHhAvVGS1DHFjwGM9
[orig_h=141.142.228.5, orig_p=59856/tcp, resp_h=192.150.187.43, resp_p=80/tcp]
HTTP
|
This doesn’t perform any interesting analysis yet, but does highlight the similarity between analysis of connections and files. Connections are identified by the usual 5-tuple or a convenient UID string while files are identified just by a string of the same format as the connection UID. So there’s unique ways to identify both files and connections and files hold references to a connection (or connections) that transported it.
There are builtin file analyzers which can be attached to files. Once
attached, they start receiving the contents of the file as Bro extracts
it from an ongoing network connection. What they do with the file
contents is up to the particular file analyzer implementation, but
they’ll typically either report further information about the file via
events (e.g. Files::ANALYZER_MD5
will report the
file’s MD5 checksum via file_hash
once calculated) or they’ll
have some side effect (e.g. Files::ANALYZER_EXTRACT
will write the contents of the file out to the local file system).
In the future there may be file analyzers that automatically attach to files based on heuristics, similar to the Dynamic Protocol Detection (DPD) framework for connections, but many will always require an explicit attachment decision.
Here’s a simple example of how to use the MD5 file analyzer to calculate the MD5 of plain text files:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | file_analysis_02.bro
event file_sniff(f: fa_file, meta: fa_metadata)
{
if ( ! meta?$mime_type ) return;
print "new file", f$id;
if ( meta$mime_type == "text/plain" )
Files::add_analyzer(f, Files::ANALYZER_MD5);
}
event file_hash(f: fa_file, kind: string, hash: string)
{
print "file_hash", f$id, kind, hash;
}
|
1 2 3 | # bro -r http/get.trace file_analysis_02.bro
new file, FakNcS1Jfe01uljb3
file_hash, FakNcS1Jfe01uljb3, md5, 397168fd09991a0e712254df7bc639ac
|
Some file analyzers might have tunable parameters that need to be
specified in the call to Files::add_analyzer
:
event file_new(f: fa_file) { Files::add_analyzer(f, Files::ANALYZER_EXTRACT, [$extract_filename="myfile"]); }
In this case, the file extraction analyzer doesn’t generate any further
events, but does have the effect of writing out the file contents to the
local file system at the location resulting from the concatenation of
the path specified by FileExtract::prefix
and the string,
myfile
. Of course, for a network with more than a single file being
transferred, it’s probably preferable to specify a different extraction
path for each file, unlike this example.
Regardless of which file analyzers end up acting on a file, general
information about the file (e.g. size, time of last data transferred,
MIME type, etc.) are logged in files.log
.
The FAF comes with a simple way to integrate with the Input
Framework, so that Bro can analyze files from external sources
in the same way it analyzes files that it sees coming over traffic from
a network interface it’s monitoring. It only requires a call to
Input::add_analysis
:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | file_analysis_03.bro
redef exit_only_after_terminate = T;
event file_new(f: fa_file)
{
print "new file", f$id;
Files::add_analyzer(f, Files::ANALYZER_MD5);
}
event file_state_remove(f: fa_file)
{
print "file_state_remove";
Input::remove(f$source);
terminate();
}
event file_hash(f: fa_file, kind: string, hash: string)
{
print "file_hash", f$id, kind, hash;
}
event bro_init()
{
local source: string = "./myfile";
Input::add_analysis([$source=source, $name=source]);
}
|
Note that the “source” field of fa_file
corresponds to the
“name” field of Input::AnalysisDescription
since that is what
the input framework uses to uniquely identify an input stream.
The output of the above script may be (assuming a file called “myfile” exists):
1 2 3 4 | # bro file_analysis_03.bro
new file, FZedLu4Ajcvge02jA8
file_hash, FZedLu4Ajcvge02jA8, md5, f0ef7081e1539ac00ef5b761b4fb01b3
file_state_remove
|
Nothing that special, but it at least verifies the MD5 file analyzer saw all the bytes of the input file and calculated the checksum correctly!