Nathaniel D. Osgood

44 papers B 2C 1Misc 9Journal 14Unranked 17
YearRankTypeTitle / Venue / Authors
2025 J jnl
CoRR
Xiaoyan Li, Evan Patterson, Patricia L. Mabry, Nathaniel D. Osgood
2023 J jnl
CoRR
G. Wade McDonald, Nathaniel D. Osgood
2023 J jnl
Syst.
Narjes Shojaati, Nathaniel D. Osgood
2023 J jnl
Syst.
Narjes Shojaati, Nathaniel D. Osgood
2023 J jnl
CoRR
Nicholas Meadows, Xiaoyan Li, Nathaniel D. Osgood
2023 J jnl
Frontiers Digit. Health
Narjes Shojaati, Nathaniel D. Osgood
2023 J jnl
Syst.
Yuan Tian, Jenny Basran, James Stempien, Adrienne Danyliw, Graham Fast, Patrick Falastein, Nathaniel D. Osgood
2022 J jnl
CoRR
Xiaoyan Li, John Baez, Sophie Libkind, Eric Redekopp, Long Pham, Nathaniel D. Osgood
2022 J jnl
ACM Trans. Comput. Heal.
Narjes Shojaati, Nathaniel D. Osgood
2020 J jnl
CoRR
Rifat Zahan, Ian McQuillan, Nathaniel D. Osgood
2019 conf
SBP-BRiMS
Aydin Teyhouee, Nathaniel D. Osgood
2019 J jnl
CoRR
Aydin Teyhouee, Nathaniel D. Osgood
2019 conf
SBP-BRiMS
Yang Qin, Rojiemiahd Edjoc, Nathaniel D. Osgood
2019 conf
SBP-BRiMS
Yang Qin, Louise Freebairn, Jo-An Atkinson, Weicheng Qian, Anahita Safarishahrbijari, Nathaniel D. Osgood
2019 conf
SBP-BRiMS
Bo Pu, Lujie Duan, Nathaniel D. Osgood
2018 conf
ICHI
Amin Mohammadbagheri, Connie Lillas, Nathaniel D. Osgood
2017 conf
ICHI
Narjes Shojaati, Mustafa Andkhoie, Osagie Osemwegie, Nathaniel D. Osgood
2016 Misc conf
WSC
Kurt Kreuger, Weichen Qian, Nathaniel D. Osgood, Kelvin Choi
2016 conf
SpringSim (TMS-DEVS)
Priyasree Bhowmik, Christopher Dutchyn, Nathaniel D. Osgood
2016 conf
ICHI
Rahim Oraji, Vernon H. Hoeppner, Anahita Safarishahrbijari, Nathaniel D. Osgood
2016 J jnl
Int. J. Geogr. Inf. Sci.
Kevin Gordon Stanley, Scott Bell, Kurt Kreuger, Priyasree Bhowmik, Narjes Shojaati, Alexa Elliott, Nathaniel D. Osgood
2016 conf
GIScience
Tuhin Paul, Kevin G. Stanley, Nathaniel D. Osgood, Scott Bell, Nazeem Muhajarine
2015 conf
SBP
Bahareh Esfahbod, Kurt Kreuger, Nathaniel D. Osgood
2015 conf
SpringSim (TMS-DEVS)
Priyasree Bhowmik, Nathaniel D. Osgood, Christopher Dutchyn
2015 Misc conf
WSC
Anahita Safarishahrbijari, Trisha Lawrence, Richard K. Lomotey, Juxin Liu, Cheryl Waldner, Nathaniel D. Osgood
2015 Misc conf
WSC
Kurt Kreuger, Nathaniel D. Osgood
2014 conf
ICHI
Dylan L. Knowles, Kevin G. Stanley, Nathaniel D. Osgood
2014 Misc conf
WSC
Amy Gao, Nathaniel D. Osgood, Wenyi An, Roland F. Dyck
2014 Misc conf
WSC
Terry Flynn, Yuan Tian, Keith Masnick, Geoff McDonnell, Elisabeth Huynh, Alex Mair, Nathaniel D. Osgood
2014 conf
SBP
Ivan Vendrov, Christopher Dutchyn, Nathaniel D. Osgood
2014 conf
SBP
Weicheng Qian, Nathaniel D. Osgood, Kevin G. Stanley
2014 Misc conf
WSC
Nathaniel D. Osgood, Juxin Liu
2013 C conf
W2GIS
Weicheng Qian, Kevin G. Stanley, Nathaniel D. Osgood
2012 conf
IHI
Mohammad S. Hashemian, Kevin G. Stanley, Dylan L. Knowles, Jonathan Calver, Nathaniel D. Osgood
2012 J jnl
BMC Medical Informatics Decis. Mak.
Mohammad S. Hashemian, Kevin G. Stanley, Nathaniel D. Osgood
2012 J jnl
BMC Medical Informatics Decis. Mak.
Mohammad S. Hashemian, Weicheng Qian, Kevin G. Stanley, Nathaniel D. Osgood
2012 conf
IHI
Oliver S. Schneider, Christopher Dutchyn, Nathaniel D. Osgood
2012 conf
MobileHealth@MobiHoc
Mohammad S. Hashemian, Dylan L. Knowles, Jonathan Calver, Weicheng Qian, Michael C. Bullock, Scott Bell, Regan L. Mandryk, Nathaniel D. Osgood, Kevin G. Stanley
2011 Misc conf
WSC
Yuan Tian, Fatima Alawami, Assaad Al-Azem, Nathaniel D. Osgood, Vernon Hoeppner, Christopher Dutchyn
2010 B conf
WiOpt
Mohammad S. Hashemian, Kevin G. Stanley, Nathaniel D. Osgood
2010 Misc conf
WSC
Qian Zhang, Nathaniel D. Osgood
2009 B conf
MASCOTS
Dong Zhang, Rick Bunt, Nathaniel D. Osgood
2009 Misc conf
EICS
Scott Bateman, Carl Gutwin, Nathaniel D. Osgood, Gordon I. McCalla
1999
Nathaniel D. Osgood
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` |