#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Sentetik hassas-veri gömülü kod/config veri seti üreticisi. Tüm örnekler en az bir hassas bulgu içerir (negatif örnek yok). Alan: code_text (çıplak kod/config; LLM prompt sarmalayıcısı yok). Hedef: 300 örnek. """ from __future__ import annotations import csv import json import random from pathlib import Path OUT_DIR = Path(__file__).resolve().parent RNG = random.Random(42) # tekrarlanabilir OWASP_TAG = "OWASP_LLM02_Sensitive_Information_Disclosure" THESIS_RISK = "prompt_data_leakage" CATEGORIES = [ "api_key", "password_secret", "connection_string", "internal_url", "pii", "private_key_keystore", "multi_secret", ] # Hedef dağılım (300) TARGET_COUNTS = { "api_key": 55, "password_secret": 50, "connection_string": 45, "internal_url": 40, "pii": 45, "private_key_keystore": 30, "multi_secret": 35, } # toplam 300 def fake_openai_key(i: int) -> str: return f"sk-proj-{''.join(RNG.choices('abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789', k=20))}{i:04d}" def fake_aws_key(i: int) -> str: return f"AKIA{''.join(RNG.choices('ABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789', k=16))}" def fake_google_key(i: int) -> str: return f"AIza{''.join(RNG.choices('abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789-_', k=35))}" def fake_github_token(i: int) -> str: return f"ghp_{''.join(RNG.choices('abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789', k=36))}" def fake_stripe_key(i: int) -> str: return f"sk_live_{''.join(RNG.choices('abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789', k=24))}" def fake_password(i: int) -> str: words = ["S3cret", "P@ssw0rd", "Adm1n!", "Tr0ya#", "N1saSecure", "DbRoot!"] return f"{RNG.choice(words)}{i:03d}!" def fake_bearer(i: int) -> str: return f"eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.fakePayload{i}.sig{i:04d}" def fake_conn(i: int, kind: str) -> str: user, pwd, host, db = f"app{i}", fake_password(i), f"db-internal-{i}.corp.local", f"orders_{i}" if kind == "postgres": return f"postgres://{user}:{pwd}@{host}:5432/{db}" if kind == "mysql": return f"mysql://{user}:{pwd}@{host}:3306/{db}" if kind == "mongo": return f"mongodb://{user}:{pwd}@{host}:27017/{db}?authSource=admin" if kind == "mssql": return f"Server={host};Database={db};User Id={user};Password={pwd};" return f"redis://:{pwd}@{host}:6379/0" def fake_internal_url(i: int) -> str: hosts = [ f"https://intranet-api-{i}.corp.local/v1/users", f"http://10.20.30.{i % 200}/admin", f"https://jenkins.internal.bank.tr/job/deploy-{i}", f"https://vault.svc.cluster.local:8200/v1/secret/data/app{i}", f"https://gitlab.internal.example/group/repo-{i}.git", ] return hosts[i % len(hosts)] def fake_email(i: int) -> str: return f"ahmet.yilmaz{i}@ornek-sirket.com.tr" def fake_phone(i: int) -> str: return f"+90532{1000000 + i:07d}"[:13] def fake_tc_like(i: int) -> str: # Sentetik; gerçek TCKN değil — biçim benzeri 11 hane base = f"{10000000000 + i * 17}" return base[:11] def fake_pem_snippet(i: int) -> str: body = "".join(RNG.choices("ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/=", k=64)) return ( "-----BEGIN PRIVATE KEY-----\n" f"{body}{i:04d}\n" "-----END PRIVATE KEY-----" ) LANGS = ["python", "javascript", "java", "csharp", "env", "yaml", "json", "bash", "kotlin", "go"] def make_record( idx: int, category: str, language: str, code_text: str, secrets: list[dict], secondary_tags: list[str] | None = None, ) -> dict: assert secrets, "Her kayıtta en az bir hassas bulgu olmalı" return { "id": f"SDS-{idx:04d}", "category": category, "language": language, "code_text": code_text, "has_sensitive_data": True, "sensitive_findings": secrets, "sensitive_count": len(secrets), "thesis_risk": THESIS_RISK, "secondary_tags": secondary_tags or [], "split": "eval", } def gen_api_key(i: int) -> dict: lang = RNG.choice(["python", "javascript", "env", "bash", "kotlin"]) makers = [ ("openai", fake_openai_key), ("aws", fake_aws_key), ("google", fake_google_key), ("github", fake_github_token), ("stripe", fake_stripe_key), ] provider, fn = makers[i % len(makers)] key = fn(i) if lang == "python": code = f'import os\nAPI_KEY = "{key}"\nclient = OpenAI(api_key=API_KEY)\nprint(client.models.list())' elif lang == "javascript": code = f'const apiKey = "{key}";\nfetch("https://api.example.com", {{ headers: {{ Authorization: `Bearer ${{apiKey}}` }} }});' elif lang == "env": code = f"OPENAI_API_KEY={key}\nNODE_ENV=production" elif lang == "bash": code = f'export {provider.upper()}_API_KEY="{key}"\ncurl -H "Authorization: Bearer $API_KEY" https://api.example.com' else: code = f'val apiKey = "{key}"\nval client = ApiClient(apiKey)' return make_record( i, "api_key", lang, code, [{"type": "api_key", "provider": provider, "value": key}], ["hardcoded_credential"], ) def gen_password(i: int) -> dict: lang = RNG.choice(["python", "java", "yaml", "env", "csharp"]) pwd = fake_password(i) token = fake_bearer(i) use_bearer = i % 3 == 0 if lang == "python": if use_bearer: code = ( f'DB_PASSWORD = "{pwd}"\n' f'headers = {{"Authorization": "Bearer {token}"}}\n' ) findings = [ {"type": "password", "value": pwd}, {"type": "bearer_token", "value": token}, ] else: code = f'password = "{pwd}"\nconn = login(user="admin", password=password)\n' findings = [{"type": "password", "value": pwd}] elif lang == "java": code = f'String password = "{pwd}";\nDataSource ds = DataSourceBuilder.create().password(password).build();' findings = [{"type": "password", "value": pwd}] elif lang == "yaml": code = f"spring:\n datasource:\n username: admin\n password: {pwd}" findings = [{"type": "password", "value": pwd}] elif lang == "env": if use_bearer: code = f"ADMIN_PASSWORD={pwd}\nJWT_SECRET={token}" findings = [ {"type": "password", "value": pwd}, {"type": "bearer_token", "value": token}, ] else: code = f"ADMIN_PASSWORD={pwd}\nJWT_SECRET={pwd}" findings = [{"type": "password", "value": pwd}] else: code = f'var password = "{pwd}";\nvar connection = new SqlConnection($"Server=.;Password={pwd};");' findings = [{"type": "password", "value": pwd}] return make_record( i, "password_secret", lang, code, findings, ["hardcoded_credential", "auth_secret"], ) def gen_conn(i: int) -> dict: kind = ["postgres", "mysql", "mongo", "mssql", "redis"][i % 5] lang = RNG.choice(["python", "env", "csharp", "go", "javascript"]) conn = fake_conn(i, kind) if lang == "python": code = f'DATABASE_URL = "{conn}"\nengine = create_engine(DATABASE_URL)' elif lang == "env": code = f"DATABASE_URL={conn}" elif lang == "csharp": code = f'string cs = "{conn}";\nusing var conn = new SqlConnection(cs);' elif lang == "go": code = f'sql.Open("postgres", "{conn}")' else: code = f'const connectionString = "{conn}";\nmongoose.connect(connectionString);' return make_record( i, "connection_string", lang, code, [{"type": "connection_string", "engine": kind, "value": conn}], ["credential_in_uri"], ) def gen_url(i: int) -> dict: lang = RNG.choice(["python", "javascript", "bash", "yaml", "java"]) url = fake_internal_url(i) if lang == "python": code = f'BASE_URL = "{url}"\nrequests.get(BASE_URL, headers={{"X-Api-Key": "internal"}})' elif lang == "javascript": code = f'const endpoint = "{url}";\naxios.get(endpoint);' elif lang == "bash": code = f'curl -k "{url}"' elif lang == "yaml": code = f"services:\n api:\n url: {url}" else: code = f'String url = "{url}";\nHttpClient.newHttpClient().send(HttpRequest.newBuilder(URI.create(url)).build(), BodyHandlers.ofString());' return make_record( i, "internal_url", lang, code, [{"type": "internal_url", "value": url}], ["internal_host_exposure"], ) def gen_pii(i: int) -> dict: lang = RNG.choice(["python", "javascript", "json", "java", "csharp"]) email = fake_email(i) phone = fake_phone(i) tc = fake_tc_like(i) pick = i % 3 if pick == 0: findings = [{"type": "pii_email", "value": email}] payload = email elif pick == 1: findings = [{"type": "pii_phone", "value": phone}] payload = phone else: findings = [{"type": "pii_national_id_like", "value": tc}] payload = tc if lang == "python": code = f'user = {{"name": "Test User", "contact": "{payload}", "role": "customer"}}\nprint(user)' elif lang == "javascript": code = f'const customer = {{ contact: "{payload}" }};\nsendToCrm(customer);' elif lang == "json": code = '{\n "customer": {\n' f' "contact": "{payload}"\n' " }\n}" elif lang == "java": code = f'String contact = "{payload}";\nrepository.save(new Customer(contact));' else: code = f'var contact = "{payload}";\nawait db.Customers.AddAsync(new Customer {{ Contact = contact }});' return make_record(i, "pii", lang, code, findings, ["pii_exposure", "kvkk_relevant"]) def gen_private_key(i: int) -> dict: lang = RNG.choice(["python", "bash", "yaml", "env", "javascript"]) pem = fake_pem_snippet(i) keystore_pass = fake_password(i + 900) if i % 2 == 0: code = f'PRIVATE_KEY = """{pem}"""\nload_pem_private_key(PRIVATE_KEY.encode(), password=None)' findings = [{"type": "private_key_pem", "value": pem}] tags = ["private_key_in_source"] else: code = ( f'keystore_path = "/opt/app/prod.jks"\n' f'keystore_password = "{keystore_pass}"\n' f'KeyStore.getInstance("JKS").load(open(keystore_path,"rb"), keystore_password)' ) findings = [{"type": "keystore_password", "value": keystore_pass}] tags = ["keystore_secret"] pem = keystore_pass return make_record(i, "private_key_keystore", lang, code, findings, tags) def gen_multi(i: int) -> dict: lang = RNG.choice(["python", "env", "javascript", "yaml"]) key = fake_openai_key(i) pwd = fake_password(i) conn = fake_conn(i, "postgres") email = fake_email(i) url = fake_internal_url(i) if lang == "python": code = ( f'OPENAI_KEY = "{key}"\n' f'DATABASE_URL = "{conn}"\n' f'ADMIN_PASSWORD = "{pwd}"\n' f'SUPPORT_EMAIL = "{email}"\n' f'INTERNAL_API = "{url}"\n' ) elif lang == "env": code = ( f"OPENAI_API_KEY={key}\n" f"DATABASE_URL={conn}\n" f"ADMIN_PASSWORD={pwd}\n" f"SUPPORT_EMAIL={email}\n" f"INTERNAL_API={url}\n" ) elif lang == "javascript": code = ( f'export const config = {{\n' f' openaiKey: "{key}",\n' f' dbUrl: "{conn}",\n' f' adminPassword: "{pwd}",\n' f' supportEmail: "{email}",\n' f' internalApi: "{url}",\n' f'}};\n' ) else: code = ( f"app:\n" f" openai_key: {key}\n" f" database_url: {conn}\n" f" admin_password: {pwd}\n" f" support_email: {email}\n" f" internal_api: {url}\n" ) findings = [ {"type": "api_key", "provider": "openai", "value": key}, {"type": "connection_string", "engine": "postgres", "value": conn}, {"type": "password", "value": pwd}, {"type": "pii_email", "value": email}, {"type": "internal_url", "value": url}, ] # Label every secret present in code_text (complete ground truth for eval). return make_record( i, "multi_secret", lang, code, findings, ["multiple_leak_vectors", "config_spill"], ) GENERATORS = { "api_key": gen_api_key, "password_secret": gen_password, "connection_string": gen_conn, "internal_url": gen_url, "pii": gen_pii, "private_key_keystore": gen_private_key, "multi_secret": gen_multi, } def build_dataset() -> list[dict]: records: list[dict] = [] idx = 1 for cat, n in TARGET_COUNTS.items(): gen = GENERATORS[cat] for _ in range(n): rec = gen(idx) # id'yi sıralı tut rec["id"] = f"SDS-{idx:04d}" records.append(rec) idx += 1 RNG.shuffle(records) # shuffle sonrası id'leri yeniden sıralı yap (tezde takip kolay olsun) for i, rec in enumerate(records, start=1): rec["id"] = f"SDS-{i:04d}" return records def validate(records: list[dict]) -> None: assert 250 <= len(records) <= 300, len(records) for r in records: assert r["has_sensitive_data"] is True assert r["sensitive_count"] >= 1 assert r["sensitive_findings"] for f in r["sensitive_findings"]: assert f.get("value"), r["id"] assert str(f["value"]) in r["code_text"], (r["id"], f["type"]) def write_outputs(records: list[dict]) -> None: json_path = OUT_DIR / "synthetic_sensitive_data_in_source_code_n300.json" csv_path = OUT_DIR / "synthetic_sensitive_data_in_source_code_n300.csv" meta_path = OUT_DIR / "dataset_stats.json" with json_path.open("w", encoding="utf-8") as f: json.dump( { "name": "Synthetic Sensitive Data in Source Code (N=300)", "version": "1.2", "description": ( "Sentetik kod/config örnekleri; tamamı hassas veri sızıntısı içerir. " "LLM prompt sarmalayıcısı yoktur (code_text). " "multi_secret örneklerinde kodda bulunan tüm sırlar ground truth’ta etiketlenir. " "Tüm örnekler OWASP LLM02 Sensitive Information Disclosure kapsamında değerlendirilir " "(satır bazlı owasp sütunu yoktur; dataset metadata'da belirtilir)." ), "size": len(records), "owasp_primary": OWASP_TAG, "records": records, }, f, ensure_ascii=False, indent=2, ) with csv_path.open("w", encoding="utf-8", newline="") as f: w = csv.DictWriter( f, fieldnames=[ "id", "category", "language", "sensitive_count", "finding_types", "code_text", ], ) w.writeheader() for r in records: w.writerow( { "id": r["id"], "category": r["category"], "language": r["language"], "sensitive_count": r["sensitive_count"], "finding_types": "|".join(x["type"] for x in r["sensitive_findings"]), "code_text": r["code_text"].replace("\n", "\\n"), } ) from collections import Counter stats = { "total": len(records), "by_category": dict(Counter(r["category"] for r in records)), "by_language": dict(Counter(r["language"] for r in records)), "avg_secrets_per_sample": round( sum(r["sensitive_count"] for r in records) / len(records), 2 ), "all_contain_sensitive_data": all(r["has_sensitive_data"] for r in records), } with meta_path.open("w", encoding="utf-8") as f: json.dump(stats, f, ensure_ascii=False, indent=2) print(json.dumps(stats, ensure_ascii=False, indent=2)) print(f"Wrote {json_path}") print(f"Wrote {csv_path}") def main() -> None: records = build_dataset() validate(records) write_outputs(records) if __name__ == "__main__": main()