Jan Heinrich Beinke

36 papers C 4Journal 17Unranked 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
Trans. Recomm. Syst.
Thorsten Krause, Alina Deriyeva, Jan Heinrich Beinke, Gerrit York Bartels, Oliver Thomas
2025 J jnl
Inf. Syst. E Bus. Manag.
Daniel Stattkus, Lorena Göritz, Katharina-Maria Illgen, Jan Heinrich Beinke, Oliver Thomas
2025 conf
INFORMATIK
Laura Hein, Sergey Krutikov, Nils Lauinger, Jan Heinrich Beinke, Julia Knopf, Oliver Thomas
2024 conf
PACIS
Daniel Stattkus, Lorena Göritz, Katharina-Maria Illgen, Jan Heinrich Beinke, Oliver Thomas
2024 conf
ECIS
Laura Hein, Lorena Göritz, Katharina-Maria Illgen, Jan Heinrich Beinke, Kim Jana Müller, Oliver Thomas
2024 J jnl
Electron. Mark.
Max Beinke, Jan Heinrich Beinke, Eduard Anton, Frank Teuteberg
2024 J jnl
HMD Prax. Wirtsch.
Laura Hein, Malte Högemann, Katharina-Maria Illgen, Daniel Stattkus, Enrico Kochon, Maja-Gwendoline Reibold, Jannick Eckle, Lena Seiwert, Jan Heinrich Beinke, Julia Knopf, Oliver Thomas
2024 J jnl
HMD Prax. Wirtsch.
Lorena Göritz, Jan Heinrich Beinke, Daniel Stattkus, Oliver Thomas
2024 J jnl
CoRR
Thorsten Krause, Alina Deriyeva, Jan Heinrich Beinke, Gerrit York Bartels, Oliver Thomas
2023 C conf
ICIS
Jan Heinrich Beinke, Daniela Schleh, Malte Högemann, Frank Teuteberg
2023 conf
ECIS
Joschka Andreas Hüllmann, Lorena Göritz, Simon Hagen, Jan Heinrich Beinke, Oliver Thomas
2023 conf
PVM
Lorena Göritz, Enrico Kochon, Jan Heinrich Beinke, Hanna-Liisa Pender, Oliver Thomas
2023 J jnl
HMD Prax. Wirtsch.
Marius Schönberger, Jan Heinrich Beinke
2023 J jnl
Computer
Tobias Dreesbach, Jan Heinrich Beinke, Arne Dethloff, Fabian van Dülmen, Oliver Thomas
2022 conf
Wirtschaftsinformatik
Thorsten Krause, Daniel Stattkus, Alina Deriyeva, Jan Heinrich Beinke, Oliver Thomas
2022 J jnl
Electron. Mark.
Christoph Heinbach, Jan Heinrich Beinke, Friedemann Kammler, Oliver Thomas
2022 J jnl
Int. J. Technol. Hum. Interact.
Nicolai Krüger, Alina Behne, Jan Heinrich Beinke, Agnis Stibe, Frank Teuteberg
2022 C conf
ICIS
Lorena Göritz, Daniel Stattkus, Jan Heinrich Beinke, Oliver Thomas
2021 J jnl
Int. J. Inf. Technol. Decis. Mak.
Jan Heinrich Beinke, Kai Rohde, Fabian Pohl, Frank Teuteberg
2021 J jnl
Inf. Syst. E Bus. Manag.
Pascal Meier, Jan Heinrich Beinke, Christian Fitte, Jan Schulte to Brinke, Frank Teuteberg
2021 J jnl
BMC Medical Informatics Decis. Mak.
Alina Behne, Nicolai Krüger, Jan Heinrich Beinke, Frank Teuteberg
2021
Jan Heinrich Beinke
2020 ch.
Blockchain
Jan Heinrich Beinke, Stefan Tönnissen, Julia Samuel, Frank Teuteberg
2020 ch.
Blockchain
Stefan Tönnissen, Jan Heinrich Beinke, Frank Teuteberg
2020 J jnl
Electron. Mark.
Stefan Tönnissen, Jan Heinrich Beinke, Frank Teuteberg
2019 J jnl
HMD Prax. Wirtsch.
Jan Heinrich Beinke, Stefan Tönnissen, Frank Teuteberg
2019 conf
PVM
Pascal Meier, Jan Heinrich Beinke, Frank Teuteberg
2019 C conf
ICIS
Pascal Meier, Jan Heinrich Beinke, Christian Fitte, Alina Behne, Frank Teuteberg
2018 conf
MKWI
Pascal Meier, Jan Heinrich Beinke, Frank Teuteberg
2018 J jnl
HMD Prax. Wirtsch.
Jan Heinrich Beinke, Julia Samuel, Frank Teuteberg
2018 C conf
ICIS
Jan Heinrich Beinke, Duc Nguyen, Frank Teuteberg
2017 J jnl
HMD Prax. Wirtsch.
Pascal Meier, Jan Heinrich Beinke, Frank Teuteberg
2017 conf
GI-Jahrestagung
Jan Heinrich Beinke, Pascal Meier, David Fiege, Anne Christin Münning, Frank Teuteberg
2017 conf
GI-Jahrestagung
Pascal Meier, Jan Heinrich Beinke, Frank Teuteberg
2017 conf
GI-Jahrestagung
Jan Heinrich Beinke, Pascal Meier, Hans-Peter Nickenig, Frank Teuteberg
2016 conf
GI-Jahrestagung
Michael Adelmeyer, Jan Heinrich Beinke, Marc Walterbusch, Ricardo Ramos Gameiro, Peter König, Frank Teuteberg
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 |