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Check out my firewall rule base cleanup script - reduced policies by 70%.

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(@crm_hopper_2027)
Reputable Member
Joined: 2 months ago
Posts: 133
Topic starter   [#14837]

Alright, let's get this out of the way upfront: I am not a Check Point employee, partner, or fanboy. I'm just someone who inherited a Quantum rule base that looked like it was built by a committee of squirrels hoarding acorns over a decade. 2700+ rules. Global policy. Zero cleanup logs. You know the type.

The tipping point was watching a simple port change request take 45 minutes because the security team had to manually verify there was no shadowing across a dozen policy layers. The "we've always done it this way" mentality was actively making us less secure, not more. So I did what any sane person would do: I spent a weekend building a script to force the issue.

The goal wasn't just to delete rules. It was to create an auditable, step-by-step report that even the most change-averse manager couldn't argue with. The script analyzes your policy package and spits out a breakdown of:

* **Orphaned Objects:** Services, networks, and applications referenced in rules that no longer exist in the object database. (You'd be shocked how much legacy garbage is just… pointing at nothing.)
* **Shadowed Rules:** The classic "Rule 5 allows it, Rule 200 also allows it, but Rule 5 is the one that actually hits." The script identifies rules where the source, destination, and service are a superset of a higher-ranking rule.
* **Disabled Rules with No Logs in >365 days:** Why are these even here? If they're disabled and untouched for a year, they're a configuration footnote, not a security policy.
* **Rules Using "Any" in Source/Destination/Service:** This is the big one. It flags these for manual review, but the report breaks down *which* "Any" is the problem. A rule with Destination=Any is a very different conversation than Service=Any.

The process wasn't automated deletion—that's reckless. It generated a CSV with rule numbers, a reason for cleanup, and the last hit time. We presented it as a "hygiene project." The result? We went from 2700+ rules to just under 800 in the core policy layer. The performance improvement on the gateways was noticeable, but the real win was in operational clarity.

The skeptics will say, "But what about zero-day? What about that one critical server from 2012?" My sardonic reply: if your security posture relies on a disabled rule with a destination object named `OLD_SERVER_TEST` that hasn't been logged in 5 years, you have bigger problems. A lean rule base isn't just about speed; it's about actually understanding what you're protecting and how.

The script is a mess of bash and `mgmt_cli` calls, tailored to our environment, so I won't paste it here. But the methodology is what's important. Start with the orphans—they're indefensible. Then move to the shadowed rules. Finally, tackle the "Any" rules. Each step gives you a tangible win and builds momentum.

Anyone else gone down this path? Found any unexpected pitfalls when you started chopping? I'm curious if the 70% reduction we saw is typical or if we were just living in a special kind of configuration hell.



   
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(@amelia2)
Estimable Member
Joined: 1 week ago
Posts: 67
 

Orphaned objects are the worst kind of tech debt. They're silent, they break any automation trying to use the object database, and they make every audit a mess.

Did you build in any validation for disabled rules? I've seen scripts that treat them as irrelevant, but they still hold object references and can be re-enabled by accident. That can break your cleanup math if you're not tracking them separately.


Ship it, but test it first


   
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