ese-parser 0.1.7

High-performance Microsoft ESE (Extensible Storage Engine) database parser

ESE-RS

High-performance Microsoft ESE (Extensible Storage Engine) database parser written in Rust with Python bindings.

Features

• 🚀 40x faster than Impacket's Python implementations
• 🦀 Memory-safe Rust implementation
• 🐍 Python bindings via PyO3
• 📦 Zero-copy parsing where possible
• 🔧 Cross-platform (Windows, Linux, macOS)
• 🔍 Forensic carving for recovering UTF-16LE strings from unreferenced page slack

Installation

Python

pip install ese-parser

Rust

[dependencies]
ese-rs = "0.1"

Quick Start

Python

from ese_parser import EseDatabase

# Open database
db = EseDatabase("database.edb")

# List tables
for table in db.get_tables():
    print(table)

# Read table
records = db.read_table("MSysObjects")
for record in records:
    print(record)

# Forensic carving (UTF-16LE)
# Note: carved results may come from page slack and not correspond to live records.
hits = db.carve_utf16le_strings_scoped("slack", "hopto.org", min_chars=6, max_hits=50)
for h in hits:
    print(h)

Rust

use ese_rs::Database;

fn main() -> Result<(), Box<dyn std::error::Error>> {
    let db = Database::open("database.edb")?;
    
    let mut cursor = db.open_table(b"MSysObjects")?;
    while let Some(record) = cursor.next_row()? {
        println!("{:?}", record);
    }
    
    Ok(())
}

Documentation

• Python API Documentation
• Examples

Performance

Benchmark parsing 340,288+ records from 3 databases:

• Python (Impacket): 82.12 seconds
• Rust (ese-rs): 2.18 seconds
• Speedup: 37.69x

Supported Database Types

• Windows Search (.edb)
• Active Directory (.dit)
• Exchange (.edb)
• SRUM (SRUDB.dat)
• WebCache (WebCacheV*.dat)
• Any ESE database (Windows 2003+)

License

Dual-licensed under MIT OR Apache-2.0.

Acknowledgments

Based on the ESE format specification and inspired by Impacket's ese.py implementation.