Hae Yong Kim

52 papers A* 2A 1B 4C 3Journal 24Unranked 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
IEEE Access
Sam Jeong, Hae Yong Kim
2025 J jnl
CoRR
Sam Jeong, Hae Yong Kim
2025 J jnl
CoRR
Vinícius Yu Okubo, Kotaro Shimizu, B. S. Shivaran, Gia-Wei Chern, Hae Yong Kim
2025 J jnl
CoRR
Sam Jeong, Hae Yong Kim
2025 J jnl
CoRR
Daniel G. P. Petrini, Hae Yong Kim
2024 J jnl
IEEE Access
Vinícius Yu Okubo, Kotaro Shimizu, B. S. Shivaram, Hae Yong Kim
2024 J jnl
CoRR
Vinícius Yu Okubo, Kotaro Shimizu, B. S. Shivaram, Hae Yong Kim
2024 J jnl
IEEE Access
Guilherme Apolinario Silva Novaes, Hae Yong Kim
2022 J jnl
IEEE Access
Daniel G. P. Petrini, Carlos Shimizu, Rosimeire A. Roela, Gabriel Vansuita Valente, Maria Aparecida Azevedo Koike Folgueira, Hae Yong Kim
2022 conf
CSCI
Guilherme Apolinario Silva Novaes, Hae Yong Kim
2022 J jnl
IEEE Access
Jhonata E. Ramos, Hae Yong Kim, Felipe Brunetto Tancredi
2021 J jnl
CoRR
Daniel G. P. Petrini, Carlos Shimizu, Rosimeire A. Roela, Gabriel Vansuita Valente, Maria Aparecida Azevedo Koike Folgueira, Hae Yong Kim
2019 J jnl
Int. J. Inf. Sec.
Gerson de Souza Faria, Hae Yong Kim
2018 conf
CISP-BMEI
Jhonata E. Ramos, Hae Yong Kim, Felipe Brunetto Tancredi
2016 J jnl
Comput. Secur.
Gerson de Souza Faria, Hae Yong Kim
2015 J jnl
Eng. Appl. Artif. Intell.
Sidnei Alves de Araújo, Jorge Henrique Pessota, Hae Yong Kim
2015 B conf
SMC
Gerson de Souza Faria, Hae Yong Kim
2013 J jnl
IEEE Trans. Inf. Forensics Secur.
Gerson de Souza Faria, Hae Yong Kim
2011 J jnl
Integr. Comput. Aided Eng.
Sidnei Alves de Araújo, Hae Yong Kim
2010 J jnl
Pattern Recognit.
Hae Yong Kim
2007 conf
SIBGRAPI
Hae Yong Kim, Joceli Mayer
2007 C conf
PSIVT
Hae Yong Kim, Sidnei Alves de Araújo
2007 conf
ISMM (2)
Diego Massola Shimizu, Hae Yong Kim
2007 conf
ISMM (2)
Sidnei Alves de Araújo, Hae Yong Kim
2006 A conf
ICME
Carlos Ramon Pantaleon Dionisio, Hae Yong Kim
2005 conf
ICIP (2)
Hae Yong Kim
2005 conf
ICIP (3)
Hae Yong Kim, Javier Giacomantone
2005 C conf
IWDW
Sergio Vicente Denser Pamboukian, Hae Yong Kim
2005 conf
SIBGRAPI
Harold Ivan Angulo Bustos, Hae Yong Kim
2005 J jnl
Comput. Vis. Image Underst.
Hae Yong Kim, Javier Giacomantone, Zang Hee Cho
2005 conf
ICIP (2)
Sergio Vicente Denser Pamboukian, Hae Yong Kim, Ricardo L. de Queiroz
2004 B conf
ICIP
Hae Yong Kim, Ricardo L. de Queiroz
2004 J jnl
Int. J. Imaging Syst. Technol.
Hae Yong Kim, Amir Afif
2004 C conf
IWDW
Hae Yong Kim, Ricardo L. de Queiroz
2004 J jnl
IEEE Trans. Image Process.
Hae Yong Kim
2004 B conf
ICIP
Carlos Ramon Pantaleon Dionisio, Hae Yong Kim
2003 conf
ICIP (2)
Hae Yong Kim, Ricardo L. de Queiroz
2003 J jnl
RITA
Hae Yong Kim
2003 conf
SIBGRAPI
Hae Yong Kim, Amir Afif
2002 A* conf
CRYPTO
Paulo S. L. M. Barreto, Hae Yong Kim, Ben Lynn, Michael Scott
2002 J jnl
IACR Cryptol. ePrint Arch.
Paulo S. L. M. Barreto, Hae Yong Kim, Ben Lynn, Michael Scott
2002 conf
ICIP (2)
Harold Ivan Angulo Bustos, Hae Yong Kim, Ricardo T. Lopes
2002 conf
SIBGRAPI
Hae Yong Kim, Zang Hee Cho
2001 conf
ICIP (2)
Hae Yong Kim
2001 J jnl
IACR Cryptol. ePrint Arch.
Paulo S. L. M. Barreto, Hae Yong Kim
2001 A* conf
FSE
Paulo S. L. M. Barreto, Vincent Rijmen, Jorge Nakahara Jr., Bart Preneel, Joos Vandewalle, Hae Yong Kim
2001 conf
ICIP (2)
Paulo S. L. M. Barreto, Hae Yong Kim, Vincent Rijmen
2000 J jnl
Int. J. Imaging Syst. Technol.
Hae Yong Kim
2000 B conf
ICIP
Hae Yong Kim, Paulo S. L. M. Barreto
1999 conf
SIBGRAPI
Paulo S. L. M. Barreto, Hae Yong Kim
1999 conf
SIBGRAPI
Hae Yong Kim
1998 conf
ICIP (2)
Hae Yong Kim, Flávio A. M. Cipparrone
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 |