Oliver Urbann

34 papers A* 2A 2C 12Misc 1Journal 10Unranked 6
YearRankTypeTitle / Venue / Authors
2025 A* conf
ICRA
Oliver Urbann, Julian Eßer, Diana Kleingarn, Arne Moos, Dominik Brämer, Piet Brömmel, Nicolas Bach, Christian Jestel, Aaron Larisch, Alice Kirchheim
2025 J jnl
CoRR
Dominik Brämer, Diana Kleingarn, Oliver Urbann
2025 J jnl
IEEE Robotics Autom. Mag.
Oliver Urbann, Fei Chen, Julian Eßer, Robert J. Griffin, Kenji Hashimoto, Fumio Kanehiro, Paul Oh, Olivier Stasse, Yuichi Tazaki
2025 J jnl
CoRR
Piet Brömmel, Dominik Brämer, Oliver Urbann, Diana Kleingarn
2025 conf
CASE
Nicolas Bach, Christian Jestel, Julian Eßer, Oliver Urbann, Peter Detzner
2024 Misc conf
CoRL
Julian Eßer, Gabriel B. Margolis, Oliver Urbann, Sören Kerner, Pulkit Agrawal
2024 A* conf
ICRA
Christian Jestel, Karol Rösner, Niklas Dietz, Nicolas Bach, Julian Eßer, Jan Finke, Oliver Urbann
2024 C conf
ETFA
Tim Chilla, Tom Stein, Christian Pionzewski, Oliver Urbann, Jérôme Rutinowski, Alice Kirchheim
2023 J jnl
IEEE Robotics Autom. Mag.
Julian Eßer, Nicolas Bach, Christian Jestel, Oliver Urbann, Sören Kerner
2023 conf
ISIE
Jan-Philip Richter, Sebastian Flores, Oliver Urbann
2023 A conf
IROS
Patrick Klokowski, Julian Eßer, Nils Gramse, Benedikt Pschera, Marc Plitt, Frido Feldmeier, Shubham Bajpai, Christian Jestel, Nicolas Bach, Oliver Urbann, Sören Kerner
2022 C conf
ICARCV
Alexander Kanwischer, Oliver Urbann
2022 J jnl
CoRR
Christian Jestel, Hartmut Surmann, Jonas Stenzel, Oliver Urbann, Marius Brehler
2021 conf
ICARA
Christian Jestel, Hartmut Surmann, Jonas Stenzel, Oliver Urbann, Marius Brehler
2021 J jnl
CoRR
Oliver Urbann, Oliver Bredtmann, Maximilian Otten, Jan-Philip Richter, Thilo Bauer, Dávid Zibriczky
2020 J jnl
CoRR
Oliver Urbann, Simon Camphausen, Arne Moos, Ingmar Schwarz, Sören Kerner, Maximilian Otten
2019 conf
ACIRS
Oliver Urbann, Dino Menges, Ingmar Schwarz, Stefan Tasse, Jonas Stenzel
2017
Oliver Urbann
2016 A conf
IROS
Oliver Urbann, Matthias Hofmann
2016 J jnl
Robotics Auton. Syst.
Jing Liu, Oliver Urbann
2016 C conf
RoboCup
Leonardo Lanari, Oliver Urbann, Seth Hutchinson, Ingmar Schwarz
2015 C conf
RoboCup
Ingmar Schwarz, Matthias Hofmann, Oliver Urbann, Stefan Tasse
2015 conf
Humanoids
Oliver Urbann, Ingmar Schwarz, Matthias Hofmann
2014 conf
Humanoids
Jing Liu, Uwe Schwiegelshohn, Oliver Urbann
2014 C conf
ICARCV
Jing Liu, Oliver Urbann
2013 C conf
RoboCup
Oliver Urbann, Matthias Hofmann
2013 J jnl
Auton. Robots
Oliver Urbann, Stefan Tasse
2012 C conf
RoboCup
Stefan Tasse, Matthias Hofmann, Oliver Urbann
2012 C conf
RoboCup
Stefan Tasse, Matthias Hofmann, Oliver Urbann
2011 C conf
RoboCup
Gregor Jochmann, Sören Kerner, Stefan Tasse, Oliver Urbann
2011 C conf
RoboCup
Daniel Hauschildt, Sören Kerner, Stefan Tasse, Oliver Urbann
2011 C conf
RoboCup
Oliver Urbann, Sören Kerner, Stefan Tasse
2009 C conf
RoboCup
Stefan Czarnetzki, Sören Kerner, Oliver Urbann
2009 J jnl
Robotics Auton. Syst.
Stefan Czarnetzki, Sören Kerner, Oliver Urbann
yara/README.md
← Index yara/README.md markdown
# YARA Rules Directory

This folder contains YARA rules for scanning binary samples.

## Setting Up YARA-Forge Rules

To use the YARA-Forge rules from [https://github.com/YARAHQ/yara-forge](https://github.com/YARAHQ/yara-forge):

```bash
# Download the latest release
cd /path/to/redb/yara
# wget https://github.com/YARAHQ/yara-forge/releases/latest/download/yara-forge-rules-core.zip
wget https://github.com/YARAHQ/yara-forge/releases/latest/download/yara-forge-rules-extended.zip

# Extract rules
# unzip yara-forge-rules-core.zip
unzip yara-forge-rules-extended.zip
```

Available packages:
- `yara-forge-rules-core.zip` - Core rules (~5,000 rules)
- `yara-forge-rules-extended.zip` - Extended rules (~10,000 rules)
- `yara-forge-rules-full.zip` - Full rules (~11,000+ rules)

## Pre-compiling Rules (Recommended for Production)

For large rulesets like YARA-Forge, pre-compiling rules significantly improves startup time:

```bash
# Pre-compile all rules into a single .yarac file
python -m redb.extractors.yara --compile

# Or specify custom paths
python -m redb.extractors.yara --compile --rules-path /path/to/rules --output /path/to/output.yarac
```

This creates `yara/compiled_rules.yarac` which is loaded automatically on subsequent runs.

### Performance Comparison

| Method | First Scan Startup | Subsequent Scans |
|--------|-------------------|------------------|
| Source files (.yar) | ~10-30 seconds (11k rules) | Instant (cached) |
| Pre-compiled (.yarac) | ~1-2 seconds | Instant (cached) |

## Directory Structure

```
yara/
├── README.md
├── .gitkeep
├── compiled_rules.yarac    # (optional) Pre-compiled rules
├── packages/               # YARA-Forge packages
│   └── core/
│       └── *.yar
└── custom/                 # Your custom rules
    └── my_rules.yar
```

Rules are loaded in this priority:
1. `compiled_rules.yarac` (if exists) - fastest
2. All `.yar` and `.yara` files recursively - compiles on first run

## Usage

### Scan with YARA only

```bash
# Scan local files
python start.py --path /path/to/samples -y --repo my_repo --index_prefix redb

# Scan S3 samples
python start.py --s3 --repo bazaar -y --index_prefix redb

# Dry-run (print results instead of storing in ClickHouse)
python start.py --path /path/to/samples -y --dry-run --repo test --index_prefix redb
```

### Scan already-analyzed samples

Run YARA on samples that were previously analyzed (already in `basic_properties`).
Deduplication is handled by the `yara_matches` table — samples already scanned are
automatically excluded before processing begins:

```bash
# Scan all analyzed macho samples with YARA
python start.py --analyzed --magika macho -y --index_prefix redb

# Scan all analyzed PE samples with YARA
python start.py --analyzed --magika pe -y --index_prefix redb

# Scan all analyzed samples (no filetype filter)
python start.py --analyzed -y --index_prefix redb
```

### Partition large YARA runs by date

Combine `--analyzed` with `--range` to partition millions of samples into
manageable batches. Only samples in `basic_properties` AND within the date
range (by `first_seen` in `catalog_samples`) are processed:

```bash
# Scan analyzed PE samples from Feb 2025
python start.py --range 2025-02-01 2025-02-28 --analyzed --magika pebin -y --index_prefix redb

# Scan analyzed PE samples from first week of March 2025
python start.py --range 2025-03-01 2025-03-08 --analyzed --magika pebin -y --index_prefix redb
```

YARA dedup still applies — re-running a range safely skips already-scanned samples.

### Combined Features + YARA

Run feature extraction and YARA scanning together on the same samples:

```bash
# Local files with features + YARA
python start.py --path /path/to/samples --with-yara --repo my_repo --index_prefix redb

# S3 samples with features + YARA
python start.py --s3 --repo bazaar --with-yara --index_prefix redb
```

### Pre-compile Rules

```bash
# Compile and save to default location (yara/compiled_rules.yarac)
python -m redb.extractors.yara --compile

# Compile with custom paths
python -m redb.extractors.yara --compile --rules-path ./my_rules --output ./compiled.yarac
```

### Sync Rules to Database

Before batch scanning, sync rules to ensure all rule metadata is stored:

```bash
# Sync rules to database
python -m redb.extractors.yara --sync-rules

# Sync with custom source collection name
python -m redb.extractors.yara --sync-rules --source-collection yara-forge-core

# Compile and sync in one command
python -m redb.extractors.yara --compile --sync-rules
```

## ClickHouse Table Schema

YARA data uses a **normalized schema** with two tables for efficient storage.

### Matches Table: `yara_matches`

Stores one row per sample-rule match (optimized with binary sha256 and rule_id):

| Column | Type | Description |
|--------|------|-------------|
| sha256 | FixedString(32) | Binary SHA256 (32 bytes, use `hex(sha256)` to display) |
| rule_id | UInt64 | Unique rule identifier (xxHash64 of canonical rule content) |
| rule_name | LowCardinality(String) | YARA rule name (denormalized for convenience) |
| scan_date | DateTime64(3, 'UTC') | Scan timestamp |
| match_strings | Array(String) | Matched string identifiers |

### Rules Table: `yara_rules`

Stores rule metadata once per unique rule (deduplicated by rule_id):

| Column | Type | Description |
|--------|------|-------------|
| rule_id | UInt64 | Unique rule identifier (xxHash64 of canonical rule content) |
| rule_name | String | YARA rule name |
| source_collection | LowCardinality(String) | Source collection (e.g., 'yara-forge-core', 'malpedia') |
| ingested_at | DateTime64(3, 'UTC') | When this rule was ingested |
| rule_text | String | Full rule source code |
| rule_meta | JSON | Rule metadata (author, description, reference, etc.) |
| rule_tags | Array(LowCardinality(String)) | Rule tags |

### Schema Benefits

- **Binary SHA256**: 32 bytes vs 64 bytes (50% storage savings on hash columns)
- **UInt64 rule_id**: Fast joins and lookups via integer key
- **Content-based rule_id**: xxHash64 of canonical rule content (excluding metadata) for deduplication
- **Denormalized rule_name**: Allows queries without joins for common use cases

### Example Queries

```sql
-- Get matches with hex sha256
SELECT
    hex(m.sha256) as sha256,
    m.rule_name,
    m.match_strings
FROM yara_matches m
WHERE m.sha256 = unhex('abc123...')

-- Join with rules for full metadata
SELECT
    hex(m.sha256) as sha256,
    m.rule_name,
    m.match_strings,
    r.rule_meta,
    r.source_collection
FROM yara_matches m
JOIN yara_rules r ON m.rule_id = r.rule_id
WHERE m.sha256 = unhex('abc123...')

-- Find all samples matching a specific rule
SELECT hex(sha256), scan_date
FROM yara_matches
WHERE rule_name = 'APT_Lazarus_Loader'
ORDER BY scan_date DESC
```

## Environment Variables

| Variable | Description | Default |
|----------|-------------|---------|
| `YARA_RULES_PATH` | Override the YARA rules directory | `yara/` |
| `YARA_COMPILED_RULES` | Compiled rules filename | `compiled_rules.yarac` |
| `YARA_SOURCE_COLLECTION` | Default source collection name | `default` |