Vincent Wertz

44 papers B 10C 4Misc 1Journal 20Unranked 8
YearRankTypeTitle / Venue / Authors
2011 ch.
Meta-Learning in Computational Intelligence
Damien François, Vincent Wertz, Michel Verleysen
2011 J jnl
Eur. J. Control
Bouchra Abouzaid, Vincent Wertz, Mohamed E. Achhab
2010 B conf
IJCNN
Victor Onclinx, John Aldo Lee, Vincent Wertz, Michel Verleysen
2010 conf
CDC
Bouchra Abouzaid, Joseph J. Winkin, Vincent Wertz
2010 C conf
ACC
Emile Simon, Cristina Stoica, Pedro Rodríguez-Ayerbe, Didier Dumur, Vincent Wertz
2009 J jnl
Neurocomputing
Victor Onclinx, Vincent Wertz, Michel Verleysen
2009 conf
CCA/ISIC
Emile Simon, Vincent Wertz
2009 J jnl
IMA J. Math. Control. Inf.
Bouchra Abouzaid, Mohamed E. Achhab, Vincent Wertz
2008 conf
ICINCO-ICSO
Nadia Barje, Mohamed E. Achhab, Vincent Wertz
2008 C conf
CCA
Badreddine Bouzouita, Faouzi Bouani, Vincent Wertz, Mekki Ksouri
2008 B conf
ESANN
Victor Onclinx, Vincent Wertz, Michel Verleysen
2007 J jnl
CoRR
Fabrice Rossi, Damien François, Vincent Wertz, Marc Meurens, Michel Verleysen
2007 J jnl
CoRR
Fabrice Rossi, Amaury Lendasse, Damien François, Vincent Wertz, Michel Verleysen
2007 J jnl
CoRR
Damien François, Fabrice Rossi, Vincent Wertz, Michel Verleysen
2007 J jnl
Neurocomputing
Damien François, Fabrice Rossi, Vincent Wertz, Michel Verleysen
2007 J jnl
IEEE Trans. Knowl. Data Eng.
Damien François, Vincent Wertz, Michel Verleysen
2006 conf
ICANN (1)
Fabrice Rossi, Damien François, Vincent Wertz, Michel Verleysen
2006 B conf
ESANN
Damien François, Vincent Wertz, Michel Verleysen
2005 J jnl
Neurocomputing
Amaury Lendasse, Geoffroy Simon, Vincent Wertz, Michel Verleysen
2005 B conf
ESANN
Damien François, Vincent Wertz, Michel Verleysen
2005 J jnl
Future Gener. Comput. Syst.
Amaury Lendasse, Damien François, Vincent Wertz, Michel Verleysen
2004 B conf
IJCNN
Amaury Lendasse, Vincent Wertz, Geoffroy Simon, Michel Verleysen
2004 B conf
ESANN
Amaury Lendasse, Geoffroy Simon, Vincent Wertz, Michel Verleysen
2003 B conf
ESANN
Geoffroy Simon, Amaury Lendasse, Vincent Wertz, Michel Verleysen
2003 C conf
ICANN
Amaury Lendasse, Vincent Wertz, Michel Verleysen
2003 J jnl
Eur. J. Oper. Res.
Cristina Stanciulescu, Philippe Fortemps, M. Installé, Vincent Wertz
2003 Misc conf
International Conference on Computational Science
Amaury Lendasse, Damien François, Vincent Wertz, Michel Verleysen
2003 conf
IWANN (2)
Michel Verleysen, Damien François, Geoffroy Simon, Vincent Wertz
2002 J jnl
Neurocomputing
Amaury Lendasse, John Aldo Lee, Vincent Wertz, Michel Verleysen
2002 C conf
ACC
Amaury Lendasse, Marie Cottrell, Vincent Wertz, Michel Verleysen
2002 J jnl
IEEE Trans. Fuzzy Syst.
Mohamed Laid Hadjili, Vincent Wertz
2001 B conf
ESANN
Amaury Lendasse, John Aldo Lee, Eric de Bodt, Vincent Wertz, Michel Verleysen
2001 J jnl
IEEE Trans. Autom. Control.
Frédéric Grognard, Fabrice Jadot, Lalo Magni, Georges Bastin, Rodolphe Sepulchre, Vincent Wertz
2001 J jnl
Int. J. Syst. Sci.
Salim Filali, Vincent Wertz
2000 B conf
ESANN
Amaury Lendasse, John Aldo Lee, Vincent Wertz, Michel Verleysen
1999 conf
ECC
Pierre Ansay, Michel Gevers, Vincent Wertz
1999 B conf
ESANN
Nicolas Donckers, Amaury Lendasse, Vincent Wertz, Michel Verleysen
1999 J jnl
IEEE Trans. Control. Syst. Technol.
Lalo Magni, Georges Bastin, Vincent Wertz
1999 conf
ECC
Jairo J. Espinosa, Mohamed Laid Hadjili, Vincent Wertz, Joos Vandewalle
1999 conf
ECC
M. A. Benayad, Guy Campion, Vincent Wertz, Mohamed E. Achhab
1998 J jnl
Eur. J. Control
Pierre Ansay, Michel Gevers, Vincent Wertz
1990 J jnl
Autom.
Marc Haest, Georges Bastin, Michel Gevers, Vincent Wertz
1987 J jnl
Autom.
Vincent Wertz, P. Demeuse
1984 J jnl
Autom.
Michel Gevers, Vincent Wertz
README.md
← Index README.md markdown
# redb
RationalEdge Samples DB

A malware analysis framework that extracts features from binary files (PE, ELF, Mach-O, APK) and stores them in ClickHouse for analysis.

## Quick Start

```bash
# Setup
source venv/bin/activate
pip install -r requirements.txt

# Process local files
python start.py --path /path/to/samples --repo test --index_prefix redb
```

## Usage Modes

### Local Mode
Process files from local filesystem:

```bash
# Single file or directory
python start.py --path /path/to/binary --repo test --index_prefix redb

# From a text file with paths (one per line)
python start.py --path /path/to/filelist.txt --repo test --index_prefix redb
```

### S3 Mode
Process samples from S3 storage based on catalog queries:

```bash
# By repository
python start.py --s3 --repo bazaar --index_prefix redb

# By repository with notes filter
python start.py --s3 --repo vx-itw --s3-notes "ITW.0138" --index_prefix redb

# By filetype (magika) - all ELF samples across all repos
python start.py --s3 --magika elf --index_prefix redb

# By filetype with repository filter
python start.py --s3 --repo bazaar --magika elf --index_prefix redb
```

### Date-Based Mode
Process samples by first_seen date from catalog:

```bash
# Single date (all samples first seen on Jan 15, 2025)
python start.py --date 2025-01-15 --index_prefix redb

# Date with repository filter
python start.py --date 2025-01-15 --repo bazaar --index_prefix redb

# Date range (inclusive)
python start.py --range 2025-01-01 2025-01-31 --index_prefix redb

# Date range with repository and notes filters
python start.py --range 2025-01-01 2025-01-31 --repo malshare --s3-notes "batch1" --index_prefix redb

# Date range with filetype filter
python start.py --range 2025-01-01 2025-01-31 --magika pebin --index_prefix redb
```

### S3-Solo Mode
Process a single sample by S3 key:

```bash
python start.py --s3-solo "09/f7/09f7d02a...hash.zip" --index_prefix redb
```

## Analysis Options

### Feature Extraction (default)
Runs all extractors to extract features from binaries:

```bash
python start.py --s3 --repo bazaar --index_prefix redb
```

### Specific Modules
Run only specific extractors:

```bash
python start.py --path /path/to/binary --repo test --index_prefix redb \
    --modules "BasicPropertiesExtractor,PEFeaturesExtractor,HashExtractor"
```

Available modules:
- **General**: `BasicPropertiesExtractor`, `HashExtractor`, `DIEExtractor`, `CAPAExtractor`
- **PE**: `PEFeaturesExtractor`, `PEImportExtractor`, `PEResourceExtractor`, `PEOverlayExtractor`, `PESectionExtractor`, `PESignatureExtractor`, `PEDotNetExtractor`, `PEInconstistencyTestsExtractor`, `PEExtraFindings`
- **ELF**: `ELFFeaturesExtractor`, `ELFSegmentExtractor`, `ELFSectionExtractor`, `ELFDependencyExtractor`, `ELFSymbolExtractor`, `ELFImportExtractor`, `ELFExportExtractor`, `ELFRelocationExtractor`, `ELFNotesExtractor`
- **Mach-O**: `MachOFeaturesExtractor`, `MachOSegmentExtractor`, `MachOImportExtractor`, `MachOExportExtractor`, `MachODylibExtractor`, `MachOSignatureExtractor`, `MachOSimilarityHashExtractor`
- **APK**: `APKFeaturesExtractor`, `APKManifestExtractor`, `APKPermissionsExtractor`, `APKSignatureExtractor`, `APKDexExtractor`, `APKResourceExtractor`, `APKNativeLibExtractor`, `APKInconsistencyTestsExtractor`
- **JavaScript**: `JSFeaturesExtractor`, `JSSuspiciousAPIsExtractor`, `JSStringsExtractor`, `JSDeobfuscationExtractor`, `JSContentExtractor`

**Note:** Using `--modules` with specific extractors respects the normal deduplication check. Add `--force` to reprocess samples already in the database.

### Analyzed Samples Mode
Process samples that are already in the database (from `basic_properties`). Useful for decompiling or re-running specific modules on previously analyzed samples:

```bash
# Decompile all already-analyzed samples that haven't been disassembled yet
python start.py --analyzed --index_prefix redb --decompile

# Decompile only ELF samples that were already analyzed
python start.py --analyzed --magika elf --index_prefix redb --decompile

# Re-run a specific extractor on already-analyzed samples
python start.py --analyzed --index_prefix redb --modules "MachOFeaturesExtractor"

# Force decompile ALL analyzed samples (even already-disassembled ones)
python start.py --analyzed --index_prefix redb --decompile --force

# Re-run a specific decompiler module on only already-disassembled samples
python start.py --analyzed --index_prefix redb --decompile --rerun --decompile-modules cfg
```

When combined with `--decompile`, the `--analyzed` flag has three behaviors:

| Flags | Source | Description |
|-------|--------|-------------|
| `--analyzed --decompile` | `basic_properties` minus `disassembled` | New samples only (first-time decompilation) |
| `--analyzed --decompile --force` | All of `basic_properties` | Re-run everything from scratch (e.g., new binja version) |
| `--analyzed --decompile --rerun` | Only `disassembled` table | Re-run on already-disassembled samples only (e.g., updated CFG module) |

The `--rerun` flag is particularly useful with `--decompile-modules` to selectively re-run a single module without reprocessing the full pipeline.

### Force Reprocessing
By default, samples already in the database are skipped. Use `--force` to reprocess them:

```bash
# Force full reprocessing of all samples
python start.py --s3 --repo bazaar --index_prefix redb --force

# Re-run a specific extractor on already-processed samples
python start.py --s3 --repo bazaar --index_prefix redb --modules "MachOFeaturesExtractor" --force

# Force YARA rescan (e.g., after updating rules)
python start.py --s3 --magika elf --index_prefix redb --yara --force
```

`--force` works across all modes: feature extraction, decompilation, and YARA scanning. ReplacingMergeTree handles deduplication, so reprocessed data cleanly replaces existing rows.

### Decompilation Mode
Run Binary Ninja decompilation only:

```bash
python start.py --s3 --repo bazaar --index_prefix redb --decompile
```

#### Selective Decompiler Modules
Run only specific decompiler sub-modules instead of the full pipeline:

```bash
# Run only strings extraction (fastest - skips per-function analysis)
python start.py --s3 --repo bazaar --index_prefix redb --decompile --decompile-modules strings

# Run disassembly and CFG analysis only
python start.py --s3 --repo bazaar --index_prefix redb --decompile --decompile-modules disassembly,cfg

# Run multiple modules
python start.py --s3 --repo bazaar --index_prefix redb --decompile --decompile-modules decompilation,disassembly,llil
```

Available decompiler modules:
- **decompilation** — High-level IL (HLIL) decompiled output → `code_binja_decompiled_functions_*` tables
- **disassembly** — Low-level assembly representation → `code_binja_disassembled_functions_*` tables
- **cfg** — Control flow graph analysis → `code_binja_cfg_functions` table
- **llil** — Low-level intermediate language → `code_binja_llil_functions_*` tables
- **strings** — Binary string extraction → `code_binja_strings_raw` table

**IOC extraction** runs automatically when `decompilation` or `strings` is selected (it consumes their in-memory results). It is skipped for modules like `cfg` or `disassembly` that don't produce IOC-relevant data.

Default is `all` (runs every module). Requires `-d/--decompile` flag.

### YARA Scanning
Run YARA rules against samples:

```bash
# YARA scanning only (skips already-scanned samples by default)
python start.py --s3 --magika elf --index_prefix redb --yara

# Force rescan all samples (e.g., after updating YARA rules)
python start.py --s3 --magika elf --index_prefix redb --yara --force

# Feature extraction + YARA scanning combined
python start.py --s3 --repo bazaar --index_prefix redb --with-yara
```

By default, `--yara` skips samples that already have matches in the `yara_matches` table. Use `--force` to rescan everything (e.g., after updating YARA rules).

### Dry Run Mode
Print results instead of uploading to database:

```bash
python start.py --path /path/to/binary --repo test --index_prefix redb --dry-run
```

## Environment Variables

See `.env.example` for all configuration options:

| Variable | Description |
|----------|-------------|
| `CLICKHOUSE_HOST` | ClickHouse server host |
| `CLICKHOUSE_PORT` | ClickHouse server port (default: 8123) |
| `CLICKHOUSE_USER` | ClickHouse username |
| `CLICKHOUSE_PASSWORD` | ClickHouse password |
| `S3_ENDPOINT` | S3/MinIO endpoint |
| `S3_ACCESS_KEY` | S3 access key |
| `S3_SECRET_KEY` | S3 secret key |
| `S3_BUCKET` | S3 bucket name |
| `INDEX_PREFIX` | Table prefix for ClickHouse (default: redb) |
| `SUPPORTED_FORMATS` | File formats to query (default: `['pebin']`) |
| `BATCH_SIZE` | Files per batch (default: 1000) |
| `REDB_TIMEOUT` | Worker timeout in seconds (default: 600) |
| `DECOMPILE_WORKER_TIMEOUT` | Decompile timeout (default: 2700) |

## Filtering Options Summary

| Option | Description | Standalone | With --repo | With --date/--range |
|--------|-------------|------------|-------------|---------------------|
| `--repo` | Filter by repository | Required for --s3 (unless --magika) | - | Optional |
| `--s3-notes` | Filter by notes field | No | Yes | Yes |
| `--magika` | Filter by filetype | Yes (queries all repos) | Yes | Yes |
| `--date` | Filter by single date | Yes | Yes | - |
| `--range` | Filter by date range | Yes | Yes | - |
| `--analyzed` | Process already-analyzed samples | Yes | N/A | N/A |