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evtx — A Fast (and safe) parser for the Windows XML Event Log (EVTX) format | Kitploit
Tools/GitHubGitHub/omerbenamram/evtx
ForensicsDigital ForensicsIncident ResponseLog Analysis
GitHubomerbenamram/evtx

evtx

A Fast (and safe) parser for the Windows XML Event Log (EVTX) format

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94981347h 52m agoReviewed by Kitploit

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EVTX

A cross-platform parser for the Windows XML EventLog format


Crates.io version Download docs.rs docs safety-dance Build status

Features

  • 🔒 Implemented using 100% safe rust - and works on all platforms supported by rust (that have stdlib).
  • ⚡ Fast - see benchmarks below. It's faster than any other implementation by order(s) of magnitude!
  • 🚀 Multi-threaded.
  • ✨ Supports XML and JSON outputs, both being directly constructed from a shared intermediate representation (IR) (no xml2json conversion is performed!)
  • ⛏️ Supports some basic recovery of missing records/chunks!
  • 🐍 Python bindings are available as well at https://github.com/omerbenamram/pyevtx-rs (and at PyPi https://pypi.org/project/evtx/)

Web-based Viewer (EVTX Web)

EVTX Web Screenshot

Prefer a zero-install option? A fully-featured EVTX explorer runs right in your browser, powered by the same Rust core compiled to WebAssembly.

👉 Try it now: https://omerbenamram.github.io/evtx/

Everything happens locally – files never leave your machine. Highlights:

  • Drag-and-drop .evtx files (or click to browse) – handles very large logs!
  • Blazing-fast parsing via WebAssembly and virtual-scroll rendering
  • Faceted filters on level, provider, channel, Event ID, and dynamic EventData fields – all backed by DuckDB-WASM
  • Full-text search, column management, and on-the-fly JSON/XML export of the filtered set
  • Light/dark themes, keyboard navigation, and a Windows-style UI

The viewer is served statically from GitHub Pages; after the first load it works completely offline.

Installation (associated binary utility):

  • Download latest executable release from https://github.com/omerbenamram/evtx/releases
    • Releases are automatically built for for Windows, macOS, and Linux. (64-bit executables only)
  • Build from sources using cargo install evtx

evtx_dump (Binary utility):

The main binary utility provided with this crate is evtx_dump, and it provides a quick way to convert .evtx files to different output formats.

Some examples

  • evtx_dump <evtx_file> will dump contents of evtx records as xml.
  • evtx_dump -o json <evtx_file> will dump contents of evtx records as JSON.
  • evtx_dump -f <output_file> -o json <input_file> will dump contents of evtx records as JSON to a given file.
  • cat <evtx_file> | evtx_dump -o jsonl - will read the EVTX file from stdin (useful for piping/decompression).

evtx_dump can be combined with fd for convenient batch processing of files:

  • fd -e evtx -x evtx_dump -o jsonl will scan a folder and dump all evtx files to a single jsonlines file.
  • fd -e evtx -x evtx_dump '{}' -f '{.}.xml' will create an xml file next to each evtx file, for all files in folder recursively!
  • If the source of the file needs to be added to json, xargs (or gxargs on mac) and jq can be used: fd -a -e evtx | xargs -I input sh -c "evtx_dump -o jsonl input | jq --arg path "input" '. + {path: \$path}'"

Note: by default, evtx_dump will try to utilize multithreading, this means that the records may be returned out of order.

To force single threaded usage (which will also ensure order), -t 1 can be passed.

Offline template rendering (WEVT_TEMPLATE)

EVTX records can reference template definitions stored in provider binaries (EXE/DLL/SYS). evtx_dump can extract those templates into an offline cache and use them at render time.

Note: this functionality requires building evtx_dump with the Cargo feature wevt_templates (release binaries may already include it).

  • Build a cache (single portable .wevtcache file):
    • evtx_dump extract-wevt-templates --input <provider.dll> --output /tmp/wevt_cache.wevtcache --overwrite
  • Dump an EVTX file while using the cache (deterministic rule: only applies when a record fails due to an explicit missing/corrupt template GUID):
    • evtx_dump --wevt-cache /tmp/wevt_cache.wevtcache <log.evtx>

Debugging helpers:

  • Dump a record’s TemplateInstance substitution values (JSONL):
    • evtx_dump dump-template-instances --input <log.evtx> --record-id <ID> | head -n1
  • Render a specific template GUID with substitutions (XML to stdout):
    • evtx_dump apply-wevt-cache --cache /tmp/wevt_cache.wevtcache --template-guid <GUID> --evtx <log.evtx> --record-id <ID>

See docs/wevt_templates.md for details and background (issue #103).

Example usage (as library):

use evtx::EvtxParser;
use std::path::PathBuf;

// Change this to a path of your .evtx sample.
let fp = PathBuf::from(format!("{}/samples/security.evtx", std::env::var("CARGO_MANIFEST_DIR").unwrap()));

let mut parser = EvtxParser::from_path(fp).unwrap();
for record in parser.records() {
    match record {
        Ok(r) => println!("Record {}\n{}", r.event_record_id, r.data),
        Err(e) => eprintln!("{}", e),
    }
}

The parallel version is enabled when compiling with feature "multithreading" (enabled by default).

Performance benchmarking

When using multithreading - evtx is significantly faster than any other parser available. For single core performance, it is both the fastest and the only cross-platform parser than supports both xml and JSON outputs.

Performance was benched on my machine using hyperfine (statistical measurements tool).

I'm running tests on a 12-Core AMD Ryzen 3900X.

Bench run: June 2026 (evtx 0.12.2).

System: Arch Linux (Linux 7.0.11-arch1-1 x86_64).

Benchmark commit: 99a6def.

The evtx columns — and pyevtx-rs, our own Python bindings, which wrap the same Rust core — were re-measured in June 2026 on this same machine, after the compiled-template rewrite landed (see docs/compiled-templates.html). Both are the PGO builds that ship for Linux/macOS (the release binary and the PyPI wheel; details below). pyevtx-rs is bound by per-record Python marshaling (one dict per record) rather than the parser, so it does not see the full core speedup. The remaining competitor figures (libevtx, velocidex/evtx, golang-evtx, python-evtx) are carried over unchanged from the January 2026 run on the same hardware — external tools whose performance has not changed.

Libraries benched:

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