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All notable changes to the **SecureCodePairs** dataset are documented in this file.
The format is based on [Keep a Changelog](https://keepachangelog.com/) and the
project adheres to [Semantic Versioning](https://semver.org/).
## [1.2.0] - 2026-07-12
### Added
- Expanded to **470** secure/vulnerable code pairs (**+260** over v1.1.0) and **30 LLM security trajectories**.
- **Deep language packs**: 20 Python deep records (SCP-000211–230), 10 Java deep records (SCP-000231–240).
- **Cross-language pack**: 30 records across Ruby/C/C++/Scala/Go/JS/TS/C#/PHP/Rust/Kotlin/Swift/YAML (SCP-000241–270).
- **Domain packs**: healthcare/FHIR (PHI, IDOR on Patient/lab), fintech/banking (race conditions, idempotency, payment keys, ledger SQLi, prototype pollution), GraphQL (introspection, field-level authz, depth-bomb, batching CSRF), gRPC (auth interceptor, metadata validation), and an SSRF collection (Go/Python/Ruby/C# proxies).
- **LLM security trajectories** (`trajectories.jsonl`, 30 records, `SCP-TRAJ-001`–`030`): prompt injection (direct/indirect/RAG/multimodal/voice/code-comment/chained), RAG poisoning (KB/financial/medical/license/CVE), tool-use abuse (file write, email, webhook, notify, SQL, purchase, loop exhaustion), jailbreaks (DAN/role-play/obfuscation/hypothetical/translation/authority/base64), and data exfiltration (pixel beacons, markdown images, prompt encoding, log smuggling).
- **CITATION.cff** for academic citation.
- **Leaderboard / benchmark** guidance in README (4 suggested eval tasks over the `benchmark` split + `trajectories.jsonl`).
- `trajectories.py` source module; `data_ext5`–`data_ext10` source modules.
### Changed
- `build.py` now also writes `trajectories.jsonl` and a richer `manifest.json` (total_code_records, total_trajectories).
- Splits (code): train (311) / validation (56) / test (56) / benchmark (47).
- README expanded with trajectory schema, leaderboard section, and full v1.2.0 statistics.
### Validation (v1.2.0)
- **PASS**: 470 code records, 0 errors. (250 non-fatal warnings from framework-context snippets under best-effort compile checks — same class as v1.1.0.)
## [1.1.0] - 2026-07-12
### Added
- Expanded to **210** secure/vulnerable code pairs (**+160** over v1.0.0).
- **5 new languages**: Ruby, C, C++, Scala, and YAML (Kubernetes manifests) — **15 languages total**.
- **New frameworks**: Rails, Qt, Play Framework, gRPC, GraphQL, and Kubernetes.
- **New paradigms**: GraphQL field-level authorization & depth-bomb DoS; gRPC auth metadata & unauthenticated delete; Kubernetes Pod security contexts & RBAC; IoT/firmware (C/embedded) and mobile (Android/iOS) deep-link abuse.
- **New domains**: fintech (payment, transfer, 2FA), healthcare/FHIR, Kubernetes, IoT, serverless.
- **CVSS 3.1 vectors** injected for every record (derived from severity + class flags; overrides allowed per record).
- **Benchmark split** (21 records) added alongside train/validation/test for leaderboard-style evaluation.
- Per-record `cvss_vector` field added to the schema.
- Best-effort **compile/syntax checks** per language (Python `ast`, Java `javac`, Go `go vet`, Rust `rustc`, C/C++ `gcc`/`g++ -fsyntax-only`, Ruby `ruby -c`, JS `node --check`); framework-dependent snippets fall back to a brace/paren heuristic.
### Changed
- `build.py` aggregates `data.py` + `data_ext*.py` and writes four splits with a fixed seed.
- `validate.py` now checks CVSS vector format, difficulty enum, new languages, and runs compile checks (warnings, non-fatal).
- `statistics.py` includes the benchmark split and adds difficulty/domain distributions.
### Validation (v1.1.0)
- **PASS**: 210 records, 0 errors. Compile/syntax checks run best-effort; framework-context snippets report non-fatal warnings only.
## [1.0.0] - 2026-07-12
### Added
- Initial curated release of **50** secure/vulnerable code pairs.
- Coverage across **10 languages**: Python, Java, JavaScript, TypeScript, Go, PHP, C#, Kotlin, Swift, Rust.
- Coverage across **13 frameworks**: Flask, Django, FastAPI, Spring Boot, Express, NestJS, Next.js, Laravel, ASP.NET Core, Gin, Android, iOS, Actix.
- **29+ vulnerability classes** mapped to OWASP Top 10 (2021), OWASP API Top 10 (2023), OWASP LLM Top 10 (2025), MITRE CWE, and MITRE ATT&CK.
- Per-record fields: id, language, framework, title, description, owasp*, cwe, mitre_attack, severity, difficulty, vulnerable_code, secure_code, patch, root_cause, attack, impact, fix, guideline, tags, metadata.
- Train / validation / test splits (34 / 8 / 8) with deterministic seed.
- Automated validation script producing `validation/validation_report.md` (v1.0.0: PASS).
- Statistics CSVs and ASCII charts under `statistics/`.
- Dataset card (`README.md`), `LICENSE`, `CONTRIBUTING.md`, `SECURITY.md`, `CODE_OF_CONDUCT.md`.
### Validation
- JSON validity, duplicate-id check, required-field presence, OWASP/CWE format consistency, Python `ast.parse` compilation, and label consistency all pass.
## [Unreleased]
### Planned (v1.2.0)
- Reach 500+ records with single-language deep packs (e.g. 50 Python, 50 Java).
- Add CI-style automated tests that compile/run each example against a benign harness.
- Add multi-turn agent/LLM security trajectories (tool-use, RAG retrieval poisoning).
- Add executable test fixtures (assert secure passes, vulnerable fails) per record.
- Add dataset citations and a leaderboard README.
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