Allen Pomeroy

Blog of an IT security specialist .: beta :.

FreeMind mind mapping tool

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Have you ever had a daunting task that just seemed like a nightmare to get your head around how to organize it? If you’re like me, you try to find some patterns in all the individual elements that make up whatever the topic is you’re trying to get a handle on. The patterns may not come easily, and even if they do, it’s usually a pain to try and re-categorize an element as you see fit (ever tried to create lists and categorize things in Excel??).

I came across a tool that one of my clients uses called FreeMind – it’s a Java app that allows you to enter a number of text elements and reorganize them in a hierarchical fashion.

FreeMind example

FreeMind example

Ok, one can do that with an unstructured word processor document or a spreadsheet, but FreeMind allows you to dump all these random ideas onto the page then drag and drop into categories or tags that make sense as you’re rearranging the elements.

So after about an hour of dropping in ideas around areas of improvement for the IT security of one of my clients, I had over 250 elements organized into 8 high level categories and about 18 subcategories. It was grouped well enough to lead discussions on what the current priorities for their programmes should be. If I had attempted this in a spreadsheet (and I had) it would have taken hours and untold frustration – not to mention I probably would have missed relationships that I could see in FreeMind.

If I had attempted this in a spreadsheet (and I had) it would have taken hours and untold frustration

FreeMind icons

FreeMind icons

You can add icons to each element to make labeling and categorization easier. Best to check out the FreeMind home page as it is a feature rich tool. From the project Wiki, typical uses include:

  • Keeping track of projects, including subtasks, state of subtasks and time recording
  • Project workplace, including links to necessary files, executables, source of information and of course information
  • Workplace for internet research using Google and other sources
  • Keeping a collection of small or middle sized notes with links on some area which expands as needed. Such a collection of notes is sometimes called knowledge base.
  • Essay writing and brainstorming, using colors to show which essays are open, completed, not yet started etc, using size of nodes to indicate size of essays. I don’t have one map for one essay, I have one map for all essays. I move parts of some essays to other when it seems appropriate.
  • Keeping a small database of something with structure that is either very dynamic or not known in advance. The main disadvantage of such approach when compared to traditional database applications are poor query possibilities, but I use it that way anyway – contacts, recipes, medical records etc. You learn about the structure from the additional data items you enter. For example, different medical records use different structure and you do not have to analyze all the possible structures before you enter the first medical record.
  • Commented internet favorites or bookmarks, with colors and fonts having the meaning you want

What a great tool .. I’m sure I’ll find more uses for it!

Electronic Health Records in Alberta

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Thinking of the challenges associated with creating electronic healthcare records for all healthcare users in Alberta. Typical government projects don’t have the best track record for maintaining proper security architecture, much less implementation. Starting to dig into this for my next paper, and I’m somewhat underwhelmed with what I see. Do we have a choice to opt out? Is there any way to ensure our health records don’t get compromised and exposed publicly? I guess I’ll be searching for some answers.

  • Author: edhacker
  • Published: Sep 8th, 2009
  • Category: tech
  • Comments: 1

Sifting through Checkpoint FW1 logs

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Recently I found myself in the unhappy position of needing to sift through slightly more than a billion Checkpoint Firewall-1 log lines, looking for specific patterns of access. The problem was that many of the exported fwm log files had differing column positions and there had been many ruleset changes over the course of 11 months worth of log data. Many of the excellent FW1 log summarization tools (such as Peter Sundstrom’s fwlogsum) didn’t handle the hundreds of files and differing column positions.

The final scripted solution was processing over 11,000 lines/second .. and still took over 23 hours for the first run.

Log file exports via fwm logexport can have variable column positioning, except for record ID number “num”, which is *always* column number one.  I see three viable alternatives to the changing column position in the ASCII log files exported via fwm – so we can automate the log processing:

  • Export the FW1 log file to ASCII via
    fwm logexport -i fw1-binary-logfile -o fw1-ascii-logfile.txt -n -p
    1. Parse the header line (line #1) of every log file and dynamically map (rearrange) the columns to a pre-determined standard in memory before further processing (painful, expensive)
    2. Tell Checkpoint fwm to export in a fixed column ordering
        create
        logexport.ini
        and place in
        $FWDIR/conf directory
        eg. fwmgmtsrv:
        C:\WINDOWS\FW1\R65\FW1\conf
        logexport.ini:
        [Fields_Info]
        included_fields = num,date,time,orig,origin_id,type,action,alert,i/f_name,
        i/f_dir,product,rule,src,dst,proto,service,s_port,xlatesrc,xlatedst,
        nat_rulenum,nat_addtnl_rulenum,xlatesport,xlatedport,user,
        partner,community,session_id,ipv6_src,ipv6_dst,
        srckeyid,dstkeyid,CookieI,CookieR,msgid,elapsed,
        bytes,packets,start_time,snid,ua_snid,d_name,id_src,ua_operation,
        sso_type_desc,app_name,auth_domain,uname4domain,wa_headers,
        result_desc,r_dest,comment,url,redirect_url,enc_desc,e2e_enc_desc,
        auth_result,attack,log_sys_message,
        rule_uid,rule_name,service_id,resource,reason,cat_server,
        dstname,SOAP Method,category,ICMP,message_info,
        TCP flags,rpc_prog,Total logs,
        Suppressed logs,DCE-RPC Interface UUID,Packet info,
        message,ip_id,ip_len,ip_offset,fragments_dropped,during_sec
    3. Use OPSEC LEA tools to extract event log records instead of export via fwm logexport

    Once the ASCII log files are available for processing, my fw1logsearch.pl script can be used to find complex patterns of interest.  Any matching records found by fw1logsearch will be output with an initial FW1 header line so that fw1logsearch can be used iteratively, to build very complex search criteria.  fw1logsearch can also write out a discard file allowing completely negative logic searches resulting in 100% of the input data separated into a match file and a didn’t match file.  Some examples of how I’ve used it are shown here:

    gunzip -c fwlogs/2009*gz | \
    fw1logsearch.pl --allinclude \
    -S '10\.1\.1[1359]\.|10\.2\.1[01]\.|192\.168\.2[245]\.' \
    -d '10\.1\.1[1359]\.|10\.2\.1[01]\.|192\.168\.2[245]\.' \
    -p '^1310$|^1411$|^1812$|^455' | \
    fw1logsearch.pl -S '192\.168\.22\.14$|10\.2\.11\.12$' |\
    fw1logsearch.pl --allexclude \
    -S '^192\.168\.24\.12$' -P '^1310$' --rejectfile 192-168-24-12-port-1310.txt

    Line by line:
    1. Unzip the compressed ASCII log files, feed them to the first instance of fw1logsearch.pl
    2. First fw1logsearch – all conditions must be true for any events to match
    Source address must NOT be in any of the following regex ranges:
    10.1.11.* 10.1.13.* 10.1.15.* 10.1.19.*
    10.2.10.* 10.2.11.*
    192.168.22.* 192.168.24.* 192.168.25.*
    Destination address must be in one of the same following regex ranges.
    Service (destination port) must be one of:
    Exactly port: 1310, 1411, 1812, or any port starting with 455
    No protocol is specified, so it will match either TCP or UDP

    fw1logsearch.pl will output any matching events to stdout, including a FW1 log header line, so the next instance of fw1logsearch.pl continues filtering the result set.

    3. The second fw1logsearch.pl specifies Source Address must not be any of the following
    192.168.22.14

    10.2.11.12

    4. The last fw1logsearch.pl excludes port 1310 from 192.168.24.12, and puts all those records into a separate reject file, while writing the other records to stdout.

    This script has been used to process over 4 billion records within the project I wrote it for – and precisely found all the use of particular business cases I needed to modify.  The result was zero outages and no unintended business interruption.

    Basic syntax/help file:

    Usage:  fw1logsearch.pl
    [-a|--incaction|-A|--excaction <action regex>]
    [-p|--incservice|-P|--excservice <dst port regex>]
    [-b|--incs_port|-B|--excs_port <src port regex>]
    [-s|--incsrc|-S|--excsrc <src regex>]
    [-d|--incdst|-D|--excdst <dst regex>]
    [-o|--incorig|-O|--excorig <fw regex>]
    [-r|--incrule|-R|--excrule <rule-number regex>]
    [-t|--incproto|-T|--excproto <proto regex>]

    [--dnscache <dns-cache-file>]
    [--resolveip]
    [--allinclude]
    [--allexclude]
    [--rejectfile <file>]
    [--debug <level>]

    fw1logsearch.pl will search a fwm logexport text file for regex patterns specified for supported columns (such as service, src, dst, rule, action, proto and orig).

    Include and exclude regex matches may be specified on the same line, although they both will include (print) a line or exclude (reject) a line based on single matches.  Allinclude or Allexclude must be specified to force a match
    only on all specified column regex patterns.

    Regex patterns can be enclosed with single quotes to include characters that are special to the shell, such as the ‘or’ (|) operator.

    Header will be output only if there are any matching lines.

    Example invocations:
    $ cat 2008-07-07*txt | \
    fw1logsearch.pl \
    -p ’53|domain’ \
    -d ’192.168.1.2|host1|10.10.1.2|host2′ \
    -o ’192.168.2.3|10.10.2.4|10.10.4.5′ \
    -S ’64.65.66.67|32.33.34.35|10.10.*|192.168.*’ \
    –resolveip
    Will require destination port (service) to be 53, destination IP to be any of 192.168.1.2, host1, 10.10.1.2, or host2  the reporting firewall (origin) to be any of 192.168.2.3, 10.10.2.4, or 10.10.4.5  and the source IP must not be
    any of 64.65.66.67, 32.33.34.35, 10.10.*, or 192.168.*  Any lines that match this criteria, will display and the orig, src, and dst columns will use the default DNS cache file (dynamically built/managed) to perform name resolution, replacing the IP addresses where possible.

    Include regex patterns:
    -a  –incaction    Rule action (accept, deny)
    -b  –incs_port    Source port (s_port)
    -p  –incservice   Destination port (service)
    -s  –incsrc       Source IP|hostname
    -d  –incdst       Destination IP|hostname
    -o  –incorig      Reporting FW IP|hostname
    -r  –incrule      Rule number that triggered entry
    -t  –incproto     Protocol of connection

    Exclude regex patterns:
    -A  –excaction    Rule action (accept, deny)
    -B  –excs_port    Source port (s_port)
    -P  –excservice   Destination port (service)
    -S  –excsrc       Source IP|hostname
    -D  –excdst       Destination IP|hostname
    -O  –excorig      Reporting FW IP|hostname
    -R  –excrule      Rule number that triggered entry
    -T  –excproto     Protocol of connection

    Other options:
    –debug {level} Turn on debugging
    –dnscache      Specify location of DNS cache file to be used with
    the Resolve IPs option
    –resolveip     Resolve IPs for orig, src, and dst columns AFTER filtering
    –rejectfile    Write out all rejected lines to a specified file

    Download fw1logsearch.pl

    Setup IMAPS on iPhone 3G with self-signed certificates

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    So setting up my shiny new iPhone 3G for IMAPS email was not entirely straight forward.  (-:  There are two complicating factors that I ran into.  For IMAP over SSL (IMAPS) connections to a mail server that is using a digital certificate that is signed by a well known certificate authority AND running on the default TCP port 993, no problems.  You may have a be a bit patient as the mail app on the iPhone accepts the certificate.  For less standard mail server implementations, read on …

    I am using a server certificate that is in essence a self-signed certificate – it is signed by CAcert.org, however very few (if any) browsers and mobile devices trust or even know of CAcert.org.  In this case, you will need to be patient while the iPhone mail app finally rejects the server certificate as untrusted.  The dialogue box will acknowledge the mail server certificate is invalid and will ask if you want to continue.  Accept the continue option and eventually (took about 5 minutes for my iPhone) the iPhone will accept the ‘invalid’ certificate.

    Now, if you are using a mail server that has IMAPS running on a non-standard port (anything other than TCP 993), you must first establish the connection and have the iPhone accept the certificate over port 993.  Once the mail account is setup initially, then you can go change the port to something non-standard.

    Once I get a chance I’ll post some screen shots.

    Windows SMB/CIFS shares

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    Map CIFS shares:

    NET USE \\1.2.3.4 /USER:DOMAIN\USERID

    NET USE

    NET USE \\1.2.3.4 /DELETE

    Alter boot time settings:

    MSCONFIG

    smbclient syntax:

    # mount -t smbfs -o username=user,password=pass //server/sharepoint /mnt/localmntpoint

    Escape admin shares:

    //wfsnt55/c\$

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