Vassilios Chrissikopoulos

41 papers B 1C 3Misc 4Journal 14Unranked 18
YearRankTypeTitle / Venue / Authors
2017 J jnl
Int. J. Online Mark.
Ilias O. Pappas, Panos E. Kourouthanassis, Sofia Papavlasopoulou, Vassilios Chrissikopoulos
2014 conf
Panhellenic Conference on Informatics
Dimitris Fronimos, Emmanouil Magkos, Vassilios Chrissikopoulos
2014 J jnl
Electron. Mark.
Ilias O. Pappas, Panos E. Kourouthanassis, Michail N. Giannakos, Vassilios Chrissikopoulos
2013 conf
I3E
Ilias O. Pappas, Michail N. Giannakos, Panos E. Kourouthanassis, Vassilios Chrissikopoulos
2013 C conf
ISCC
Mike Burmester, Emmanouil Magkos, Vassilios Chrissikopoulos
2012 conf
WDFIA
Kostas Vlachopoulos, Emmanouil Magkos, Vassilios Chrissikopoulos
2012 J jnl
Int. J. Digit. Crime Forensics
Konstantinos Vlachopoulos, Emmanouil Magkos, Vassilios Chrissikopoulos
2012 conf
DPM/SETOP
Panayiotis Kotzanikolaou, Emmanouil Magkos, Nikolaos Petrakos, Christos Douligeris, Vassilios Chrissikopoulos
2012 J jnl
Int. J. Crit. Infrastructure Prot.
Mike Burmester, Emmanouil Magkos, Vassilios Chrissikopoulos
2012 J jnl
Int. J. Ad Hoc Ubiquitous Comput.
Mike Burmester, Emmanouil Magkos, Vassilios Chrissikopoulos
2009 conf
Panhellenic Conference on Informatics
Markos Avlonitis, Emmanouil Magkos, Michalis Stefanidakis, Vassilios Chrissikopoulos
2009 J jnl
Data Knowl. Eng.
Emmanouil Magkos, Manolis Maragoudakis, Vassilios Chrissikopoulos, Stefanos Gritzalis
2009 ed.
Panhellenic Conference on Informatics
Vassilios Chrissikopoulos, Nikolaos Alexandris, Christos Douligeris, Spyros Sioutas
2009 J jnl
J. Comput. Virol.
Markos Avlonitis, Emmanouil Magkos, Michalis Stefanidakis, Vassilios Chrissikopoulos
2008 C conf
Privacy in Statistical Databases
Emmanouil Magkos, Manolis Maragoudakis, Vassilios Chrissikopoulos, Stefanos Gritzalis
2008 conf
Panhellenic Conference on Informatics
Vassilios Chrissikopoulos, George Papaloukopoulos, Evangelos Sakkopoulos, Spyros Sioutas
2008 J jnl
CoRR
Vassilios Chrissikopoulos, George Papaloukopoulos, Evangelos Sakkopoulos, Spyros Sioutas
2008 B conf
WiMob
Mike Burmester, Emmanouil Magkos, Vassilios Chrissikopoulos
2008 conf
WEBIST (1)
Emmanouil Magkos, Vassilios Chrissikopoulos
2007 J jnl
J. Comput. Virol.
Markos Avlonitis, Emmanouil Magkos, Michalis Stefanidakis, Vassilios Chrissikopoulos
2006 J jnl
Comput. Commun.
Panayiotis Kotzanikolaou, Rosa Mavropodi, Christos Douligeris, Vassilios Chrissikopoulos
2005 J jnl
J. Digit. Inf.
Marios Poulos, Sozon Papavlasopoulos, Vassilios Chrissikopoulos
2005 C conf
WOWMOM
Panayiotis Kotzanikolaou, Emmanouil Magkos, Christos Douligeris, Vassilios Chrissikopoulos
2004 J jnl
Electron. Commer. Res.
Mike Burmester, Emmanouil Magkos, Vassilios Chrissikopoulos
2002 conf
ECDL
Ioannis Papadakis, Ioannis Andreou, Vassilios Chrissikopoulos
2001 conf
EC-Web
Emmanouil Magkos, Panayiotis Kotzanikolaou, Vassilios Chrissikopoulos
2001 conf
DEXA Workshop
Panayiotis Kotzanikolaou, Mike Burmester, Vassilios Chrissikopoulos
2001 conf
I3E
Emmanouil Magkos, Mike Burmester, Vassilios Chrissikopoulos
2001 J jnl
Int. J. Medical Informatics
Ioannis Papadakis, Vassilios Chrissikopoulos, Despoina Polemi
2001 conf
Network Security
Nikos Alexandris, Emmanouil Magkos, Vassilios Chrissikopoulos
2001 Misc conf
SEC
Mike Burmester, Vassilios Chrissikopoulos, Panayiotis Kotzanikolaou, Emmanouil Magkos
2000 conf
EC-Web
Emmanouil Magkos, Mike Burmester, Vassilios Chrissikopoulos
2000 Misc conf
ACISP
Panayiotis Kotzanikolaou, Mike Burmester, Vassilios Chrissikopoulos
2000 J jnl
Future Gener. Comput. Syst.
Nikos Alexandris, Mike Burmester, Vassilios Chrissikopoulos, Yvo Desmedt
1999 conf
ICECS
Marios Poulos, Maria Rangoussi, Vassilios Chrissikopoulos, Angelos Evangelou
1999 conf
ICECS
Marios Poulos, Maria Rangoussi, Vassilios Chrissikopoulos, Angelos Evangelou
1998 conf
ECDL
Vassilios Chrissikopoulos, D. Georgiou, Nectarios Koziris, K. Toraki, Panayotis Tsanakas
1996 Misc conf
SEC
Nikos Alexandris, Mike Burmester, Vassilios Chrissikopoulos, Dimitrios Peppes
1996 conf
Communications and Multimedia Security
George Vassilacopoulos, Vassilios Chrissikopoulos, Dimitrios Peppes
1996 Misc conf
SEC
George Vassilacopoulos, Vassilios Chrissikopoulos, Dimitrios Peppes
1992 conf
IFIP Congress (2)
Nikos Alexandris, Mike Burmester, Vassilios Chrissikopoulos
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` |