Carlos Alberto Cobos Lozada

42 papers B 4C 3Journal 16Unranked 18
YearRankTypeTitle / Venue / Authors
2022 J jnl
Rev. Iberoam. de Tecnol. del Aprendiz.
Manuel Alejandro Pastrana Pardo, Hugo Armando Ordoñez Erazo, Carlos Alberto Cobos Lozada
2021 J jnl
Inf. Sci.
Jose Torres-Jimenez, Carlos Lara-Alvarez, Carlos Alberto Cobos Lozada, Roberto Blanco-Rocha, Alfredo Cardenas-Castillo
2018 J jnl
Computación y Sistemas
Luz Marina Sierra Martínez, Carlos Alberto Cobos Lozada, Juan Carlos Corrales-Muñoz, Tulio Rojas Curieux, Enrique Herrera-Viedma, Diego Hernán Peluffo-Ordóñez
2017 J jnl
Expert Syst. Appl.
Armando Ordóñez, Hugo Ordoñez, Juan Carlos Corrales, Carlos Alberto Cobos Lozada, Leandro Krug Wives, Lucinéia Heloisa Thom
2017 conf
MIKE
Luz Marina Sierra Martínez, Carlos Alberto Cobos Lozada, Juan Carlos Corrales
2016 conf
CAEPIA
Carlos Alberto Cobos Lozada, Hernán Dulcey, Johny Ortega, Martha Mendoza, Armando Ordóñez
2016 conf
MICAI (2)
Carlos Alberto Cobos Lozada, Andrea Duque, Jamith Bolaños, Martha Mendoza, Elizabeth León
2016 J jnl
Polibits
Hugo Ordoñez, Luis Merchán, Armando Ordóñez, Carlos Alberto Cobos Lozada
2016 conf
IBERAMIA
Carlos Alberto Cobos Lozada, Carlos Daza, Cristhian Martínez, Martha Mendoza, Carlos Gaviria, Cristian Arteaga, Alexander Paz
2016 conf
MICAI (2)
Hugo Ordoñez, Jose Torres-Jimenez, Armando Ordóñez, Carlos Alberto Cobos Lozada
2016 J jnl
Knowl. Based Syst.
Cristhian Figueroa, Hugo Ordoñez, Juan Carlos Corrales, Carlos Alberto Cobos Lozada, Leandro Krug Wives, Enrique Herrera-Viedma
2016 conf
MICAI (1)
Armando Ordóñez, Diego Belalcazar, Manuel Calambas, Angela Chacón, Hugo Ordoñez, Carlos Alberto Cobos Lozada
2016 conf
CAEPIA
Carlos Alberto Cobos Lozada, Cristian Erazo, Julio Luna, Martha Mendoza, Carlos Gaviria, Cristian Arteaga, Alexander Paz
2016 conf
EC-Web
Hugo Ordoñez, Armando Ordóñez, Carlos Alberto Cobos Lozada, Luis Merchán
2016 J jnl
Computación y Sistemas
Luz Marina Sierra, Carlos Alberto Cobos Lozada, Juan Carlos Corrales
2016 C conf
EATIS
Camilo Ordonez, Giovanni Hernández, Hugo Ordoñez, Armando Ordóñez, Carlos Alberto Cobos Lozada
2015 conf
ICCSA (1)
Hugo Ordoñez, Andrés Felipe Escobar Villada, Diana Lorena Velandia Vanegas, Carlos Alberto Cobos Lozada, Armando Ordóñez, Rocio Segovia
2015 conf
CICLing (1)
Luz Marina Sierra, Carlos Alberto Cobos Lozada, Juan Carlos Corrales, Tulio Rojas Curieux
2015 conf
BIS
Armando Ordóñez, Hugo Ordoñez, Cristhian Figueroa, Carlos Alberto Cobos Lozada, Juan Carlos Corrales
2015 conf
MICAI (2)
Martha Mendoza, Carlos Alberto Cobos Lozada, Elizabeth León
2015 J jnl
Decis. Support Syst.
Martha Mendoza, Erwin Alegría, Manuel Maca, Carlos Alberto Cobos Lozada, Elizabeth León
2014 conf
MICAI (1)
Martha Mendoza, Carlos Alberto Cobos Lozada, Elizabeth León-Guzmán, Manuel Lozano, Francisco J. Rodríguez, Enrique Herrera-Viedma
2014 C conf
EATIS
Hugo Ordoñez, Cristhian Figueroa, Juan Carlos Corrales, Maurizio Morisio, Carlos Alberto Cobos Lozada, Leandro Krug Wives
2014 J jnl
Inf. Sci.
Carlos Alberto Cobos Lozada, Henry Muñoz-Collazos, Richar Urbano-Muñoz, Martha Mendoza, Elizabeth León-Guzmán, Enrique Herrera-Viedma
2014 conf
ICEIS (3)
Hugo Ordoñez, Juan Carlos Corrales, Carlos Alberto Cobos Lozada, Leandro Krug Wives, Lucinéia Heloisa Thom
2014 C conf
EATIS
Hugo Ordoñez, Juan Carlos Corrales, Carlos Alberto Cobos Lozada, Leandro Krug Wives
2014 conf
IBERAMIA
Luz Marina Sierra, Carlos Alberto Cobos Lozada, Juan Carlos Corrales
2014 J jnl
Expert Syst. Appl.
Martha Mendoza, Susana Bonilla, Clara Noguera, Carlos Alberto Cobos Lozada, Elizabeth León
2014 conf
MICAI (1)
Viviana Molano, Carlos Alberto Cobos Lozada, Martha Mendoza, Enrique Herrera-Viedma, Milos Manic
2014 J jnl
Polibits
Hugo Ordoñez, Juan Carlos Corrales, Carlos Alberto Cobos Lozada
2013 J jnl
Inf. Process. Manag.
Carlos Alberto Cobos Lozada, Orlando Rodriguez, Jarvein Rivera, John Betancourt, Martha Mendoza, Elizabeth León-Guzmán, Enrique Herrera-Viedma
2013 conf
IFSA/NAFIPS
Carlos Alberto Cobos Lozada, Martha Mendoza, Milos Manic, Elizabeth León, Enrique Herrera-Viedma
2013
Carlos Alberto Cobos Lozada
2013 J jnl
Polibits
Carlos Alberto Cobos Lozada, Martha Mendoza, Elizabeth León, Milos Manic, Enrique Herrera-Viedma
2012 conf
IBERAMIA
Carlos Alberto Cobos Lozada, Leydy Muñoz, Martha Mendoza, Elizabeth León-Guzmán, Enrique Herrera-Viedma
2011 B conf
IEEE Congress on Evolutionary Computation
Carlos Alberto Cobos Lozada, Martha Mendoza, Elizabeth León
2011 J jnl
Appl. Math. Comput.
Carlos Alberto Cobos Lozada, Darío Francisco Estupiñan Merino, José Pérez
2011 J jnl
Rev. Avances en Sistemas Informática
Carlos Alberto Cobos Lozada, José Yaczo Pérez Hernández, Darío Francisco Estupiñan Merino
2010 B conf
IEEE Congress on Evolutionary Computation
Carlos Alberto Cobos Lozada, Jennifer Andrade, William Constain, Martha Mendoza, Elizabeth León
2010 B conf
IEEE Congress on Evolutionary Computation
Carlos Alberto Cobos Lozada, Claudia Montealegre, Maria-Fernanda Mejia, Martha Mendoza, Elizabeth León
2007 B conf
WISE
Carlos Alberto Cobos Lozada, Miguel Niño, Martha Mendoza, Ramón Fabregat, Luís Gómez
2006 J jnl
Rev. Colomb. de Computación
Carlos Alberto Cobos Lozada, Erwin Meza, Martha Mendoza, Jorge Moreno, Norman Muñoz
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` |