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fix: apply review feedback on seclang_parser blog post #448

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fzipi merged 2 commits into from
Jan 22, 2026
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fix: apply review feedback on seclang_parser blog post #448

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fix: apply review feedback on seclang_parser blog post
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6 changes: 3 additions & 3 deletions content/blog/2026-01-22-introducing-seclang-parser-unified-antlr-based-parser.md
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Expand Up @@ -6,11 +6,11 @@ title: 'Introducing seclang_parser: A Unified ANTLR-Based Parser for SecLang'
author: fzipi
---

We are excited to announce a significant development in the CRS ecosystem: the [seclang_parser](https://github.com/coreruleset/seclang_parser), a new ANTLR-based parser for the SecLang configuration language used by ModSecurity and compatible WAF engines.
We are excited to introduce the community to a significant development in the CRS ecosystem: the [seclang_parser](https://github.com/coreruleset/seclang_parser), an ANTLR-based parser for the SecLang configuration language used by ModSecurity and compatible WAF engines.

## What is seclang_parser?

The seclang_parser is a grammar-based parser generator built on ANTLR 4 (Another Tool for Language Recognition) that provides a unified, language-agnostic approach to parsing ModSecurity's SecLang configuration files. Rather than maintaining separate parsing implementations across different programming languages, this project consolidates efforts around a single, authoritative grammar specification.
The seclang_parser is a grammar-based parser built using ANTLR 4 (Another Tool for Language Recognition) that provides a unified, language-agnostic approach to parsing ModSecurity's SecLang configuration files. Rather than maintaining separate parsing implementations across different programming languages, this project consolidates efforts around a single, authoritative grammar specification.

## Why Was This Needed?

Expand All @@ -34,7 +34,7 @@ The parser operates independently of its destination programming language. The A
Rather than dealing with low-level parsing details in each target language, the grammar prioritizes simplicity and clarity. This reduces implementation errors and makes the parser easier to understand and maintain.

### Minimal Dependencies
The generated parsers are designed to work with native code without requiring external dependencies or CGo bindings. This makes integration into existing projects straightforward and reduces potential compatibility issues.
The generated parsers are designed to work with native code without requiring external dependencies or cgo bindings. This makes integration into existing projects straightforward and reduces potential compatibility issues.

### Multi-Language Support
Currently, the project includes working implementations for:
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