Carlos Cambra

27 papers C 1Misc 3Journal 10Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Data
Ramón Sánchez, Carlos Rad, Carlos Cambra, Rocío Barros, Álvaro Herrero
2025 conf
HAIS (2)
Félix De Miguel, Nuria Velasco, Félix Movilla, Daniel Urda, Carlos Cambra, Álvaro Herrero
2025 conf
IWANN (2)
Roberto Casado-Vara, Rafael Rodríguez García, Branly Martínez, Marta-María Álvarez-Crespo, Antonio Díaz-Longueira, Carlos Cambra
2024 conf
SOCO (1)
Álvaro Villar Val, Diego Granados-López, Carlos Cambra, David González Peña, Manuel García Fuente, Angel Arroyo
2024 conf
SOCO (1)
Félix De Miguel, David Caubilla, Carlos Cambra, Nuño Basurto, Daniel Urda, Álvaro Herrero
2023 J jnl
Log. J. IGPL
Nuño Basurto, Ángel Arroyo, Carlos Cambra, Álvaro Herrero
2023 J jnl
Cybern. Syst.
Álvaro Herrero, Carlos Cambra, Secil Bayraktar, Alfredo Jiménez, Emilio Corchado
2023 conf
SOCO (1)
Ángel Arroyo, Beatriz Gil-Arroyo, Daniel Urda, Carlos Cambra, Álvaro Herrero
2022 J jnl
Pattern Anal. Appl.
Nuño Basurto, Carlos Cambra, Álvaro Herrero
2022 J jnl
J. Comput. Sci.
Mercedes Yartu, Carlos Cambra, Milagros Navarro, Carlos Rad, Ángel Arroyo, Álvaro Herrero
2022 conf
SOCO
Ángel Arroyo, Carlos Cambra, Nuño Basurto, Carlos Rad, Milagros Navarro, Álvaro Herrero
2021 Misc ed.
CISIS
Álvaro Herrero, Carlos Cambra, Daniel Urda, Javier Sedano, Héctor Quintián, Emilio Corchado
2021 ed.
SOCO
Álvaro Herrero, Carlos Cambra, Daniel Urda, Javier Sedano, Héctor Quintián, Emilio Corchado
2021 Misc conf
HAIS
Nuño Basurto, Ángel Arroyo, Carlos Cambra, Álvaro Herrero
2021 J jnl
Neurocomputing
Nuño Basurto, Carlos Cambra, Álvaro Herrero
2021 ed.
ICEUTE
Álvaro Herrero, Carlos Cambra, Daniel Urda, Javier Sedano, Héctor Quintián, Emilio Corchado
2021 conf
SOCO
Nuño Basurto, Carlos Cambra, Álvaro Herrero
2020 C conf
AICCSA
Nuño Basurto, Carlos Cambra, Álvaro Herrero
2020 conf
SOCO
Nuño Basurto, Michal Wozniak, Carlos Cambra, Álvaro Herrero
2020 Misc conf
HAIS
Ángel Arroyo, Nuño Basurto, Carlos Cambra, Álvaro Herrero
2020 conf
IDEAL (2)
Héctor Quintián, Esteban Jove, José Luís Calvo-Rolle, Nuño Basurto, Carlos Cambra, Álvaro Herrero, Emilio Corchado
2020 J jnl
Comput. Electr. Eng.
Nuño Basurto, Ángel Arroyo, Carlos Cambra, Álvaro Herrero
2020 conf
SOCO
Mercedes Yartu, Carlos Cambra, Milagros Navarro, Carlos Rad, Ángel Arroyo, Álvaro Herrero
2020 J jnl
Cybern. Syst.
Alfredo Jiménez, Carlos Cambra, Emilio Corchado, Álvaro Herrero
2020 J jnl
Log. J. IGPL
Ángel Arroyo, Carlos Cambra, Álvaro Herrero, Verónica Tricio, Emilio Corchado
2020 conf
ICEUTE
Ángel Arroyo, Secil Bayraktar, Carlos Cambra, Daniel Urda, Álvaro Herrero
2019 J jnl
Complex.
Rafael Vega Vega, Héctor Quintián, Carlos Cambra, Nuño Basurto, Álvaro Herrero, José Luís Calvo-Rolle
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` |