Haixiang Shi

20 papers A 1B 2C 1Misc 2Journal 7Unranked 6
YearRankTypeTitle / Venue / Authors
2017 J jnl
Distributed Parallel Databases
Yongqing Zhu, Quanqing Xu, Haixiang Shi, Juniarto Samsudin
2016 conf
NAS
Yongqing Zhu, Quanqing Xu, Haixiang Shi, Juniarto Samsudin
2016 conf
ICCIP
Haixiang Shi, Yongqing Zhu, Juniarto Samsudin
2015 B conf
ICPADS
Yongqing Zhu, Samsudin Juniarto, Haixiang Shi, Jun Wang
2014 C conf
CloudCom
Rajesh Vellore Arumugam, Quanqing Xu, Haixiang Shi, Qingchao Cai, Yonggang Wen
2010 J jnl
J. Comput. Biol.
Haixiang Shi, Bertil Schmidt, Weiguo Liu, Wolfgang Müller-Wittig
2010 Misc conf
ICCS
Haixiang Shi, Bertil Schmidt, Weiguo Liu, Wolfgang Müller-Wittig
2009 A conf
IPDPS
Haixiang Shi, Bertil Schmidt, Weiguo Liu, Wolfgang Müller-Wittig
2009 J jnl
IEEE Trans. Computers
Lipo Wang, Wen Liu, Haixiang Shi
2008 J jnl
IEEE Trans. Syst. Man Cybern. Part C
Lipo Wang, Wen Liu, Haixiang Shi
2007 J jnl
IEEE Trans. Circuits Syst. II Express Briefs
Lipo Wang, Wen Liu, Haixiang Shi, Jacek M. Zurada
2007 conf
ICNC (2)
Wen Liu, Haixiang Shi, Lipo Wang
2007 conf
CISched
Wen Liu, Lipo Wang, Haixiang Shi
2007 ch.
Challenges for Computational Intelligence
Lipo Wang, Haixiang Shi
2006 J jnl
IEEE Trans. Neural Networks
Lipo Wang, Haixiang Shi
2006 Misc conf
ICAISC
Wen Liu, Haixiang Shi, Lipo Wang, Jacek M. Zurada
2005 B conf
IJCNN
Haixiang Shi, Lipo Wang
2005 J jnl
Neural Networks
Haixiang Shi, Lipo Wang
2005 conf
ICNC (1)
Haixiang Shi, Lipo Wang
2004 conf
ISNN (2)
Lipo Wang, Haixiang Shi
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 |