CheckPoint Syslog Data to Elastic Stack

Recently I had an opportunity to get some exposure Elastic Stack (previously ELK). I had some downtime and a possible need for this and an app team was looking at replacing splunk with it. I will not be going into the install of it here but there are plenty of how-to guides on it and possibly another article.

We produce a ton of CheckPoint logs that were previously going to both the Management Server and proxied to Microsoft OMS via syslog relay. The problem with OMS is it was not indexed by field and at the time of implementation, there was not an easy way to do it. Integrating this into a stack that non infrastructure support staff may have access to was a bonus.

For those not familiar with Elastic Stack, it is primarily made up of Elastic Search (search engine), Logstash (data flow manipulator) and Kibana (web front end). The later versions also implemented beats as a light weight mechanism for pulling in syslog data, file data and a few others without having to load Logstash where the logs reside as it has some beefy memory requirements.

With Logstash, it is very easy to filter CheckPoint data that 1) gets a syslog header wrapped around it due to the proxy and 2) has embedded key value pairs.

Here is a sample of the log

29:51--7:00 CP-GW - Log [[email protected] Action="accept" UUid="{0x5da7ee3f,0x4,0x5679710a,0xc0000005}" rule="42" rule_uid="{0F0D6B41-C4CC-45E1-A059-0753CBAB43E1}" rule_name="Allowed Traffic" src="" dst="" proto="6" product="VPN-1 & FireWall-1" service="1234" s_port="4321" product_family="Network"]

And here is the logstash config to go with it.

  if [type] == "syslog" and "checkpoint" in [tags] {
    grok {
      match => { "message" => "<%{POSINT:priority}>%{SYSLOGTIMESTAMP:syslog_timestamp} %{IPORHOST:checkpoint.cluster}  %{DATA:checkpoint.timestamp} %{IPORHOST:checkpoint.node} %{DATA:checkpoint.product_type} - %{DATA:checkpoint.log_type} \[[email protected]%{DATA:checkpoint.field_id} %{DATA:[@metadata][]}\]" }
      add_field => {
         "received_at" => "%{@timestamp}"
         "received_from" => "%{host}"
      remove_field => [ "host" ]
    mutate {
      gsub => [ "checkpoint.timestamp", "--", "-" ]
    date {
      match => [ "syslog_timestamp", "MMM  d HH:mm:ss", "MMM dd HH:mm:ss" ]
      #This is not quite ISO8601 because it has the timezone on it
      #match => [ "checkpoint.timestamp", "ISO8601" ]
    kv {
        prefix => "checkpoint."
        source => "[@metadata][]"
        transform_key => "lowercase"
    mutate {
      rename => { "" => "checkpoint.protection_name" }
      rename => { "checkpoint.type" => "checkpoint.protection_type" }
      rename => { "checkpoint.level" => "checkpoint.confidence_level" }
      rename => { "checkpoint.profile" => "checkpoint.smartdefense_profile" }
      rename => { "checkpoint.impact" => "checkpoint.performance_impact" }
      rename => { "" => "checkpoint.attack_info" }
      rename => { "checkpoint.src" => "source.ip" }
      rename => { "checkpoint.s_port" => "source.port" }
      rename => { "checkpoint.dst" => "destination.ip" }
      rename => { "checkpoint.service" => "destination.port" }
      rename => { "checkpoint.node" => "hostname" }

output {
  if [type] == "syslog" and "checkpoint" in [tags] and "_grokparsefailure" in [tags] {
    file {
        path => "/var/log/logstash/checkpoint_failure.log"
#         codec => rubydebug

The “grok” filter seems to be a simplified regular expression where you can match data based on the type and is fairly self explanatory for those familiar with Regular Expressions

The “kv” filter is a for the Key/Values in the fields. I could do a better job of using this as the fields sometimes have spaces in them which kv doesn’t match automatically but that’s a word in progress. That’s why the mutate filter is renaming some of the fields.

CheckPoint R77.30 To R80.20 Upgrade Nuances For a n00b

I have been going through a CheckPoint R77.30 to R80.20 upgrade. I was lucky enough to have a “lab” instance to run this through as we plan for production.

In going through this upgrade, I learned a few things being fairly new to CheckPoint.

#1 – Newer Management servers can manage much older Security Gateway. I was concerned that upgrading the management server and leaving it as is for a while which would likely be the case for production would become a major issue but it is well supported by CheckPoint. It appeared that the R80.20 Management server could manage as old as R65 SGs.

#2 – When you have an R80.20 Management server pushing IPS updates to an R77.30 instances, the R80 instance translates the IPS rules since there were major changes. This was a concern because R77 is past End of Support so I wanted to ensure IPS rules could still be downloaded and supported.

#3 – When you actually upgrade the Security Gateway, some of the IPS inspection rules change or act differently. One in particular is the “Non Compliant HTTP” which appears to no longer support HTTP 0.9.

For #3 – What this means is that GET requests without a version will may get blocked by default with the reason “illegal header format detected: Malformed HTTP protocol name in request”

Interestingly enough vendors like F5 by default for http monitors use HTTP 0.9 –

Taken from the article

http example - HTTP 0.9 GET /
HTTP 0.9 GET /

Check_MK ( when setup for distributed monitoring (remote sites) also uses an http “like” protocol that triggers this.

Options are either to add exclusions in the IPS Inspection Setting to bypass the Non Complaint for these specific cases or in the case of F5, create an HTTP 1.0 or higher compliant HTTP check.

f5 http
GET / HTTP/1.1

UPDATE: 2019-11-07 – I decided to kick a ticket around with CheckPoint Support on this one but have not heard back. I imagine since HTTP 1.0 has been around circa 1996 they decided to require it. In doing so they likely forgot many out of the box software is backward compatible to HTTP 0.9

UPDATE: 2019-11-11 – CheckPoint provided me with sk163481. The dates of this are after my ticket so my inquiry most likely triggered this.