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feat: 🔐 Jules02: Security hardening — dynamic secret masking (#969)
* feat: 🔐 Jules02: Security hardening — dynamic secret masking - Implement dynamic secret discovery in SecretMaskingProcessor to automatically mask all SecretStr/SecretBytes fields. - Enhance URL credential extraction to protect embedded passwords in connection strings (database, redis, etc). - Refactor main.py to dynamically exclude sensitive fields from CLI output and audit snapshots. - Add comprehensive tests for the new masking logic. Co-authored-by: xnessom <255288032+xnessom@users.noreply.github.com> * feat: 🔐 Jules02: Security hardening — dynamic secret masking - Implement dynamic secret discovery in SecretMaskingProcessor to automatically mask all SecretStr/SecretBytes fields. - Enhance URL credential extraction to protect embedded passwords in connection strings (database, redis, etc). - Refactor main.py to dynamically exclude sensitive fields from CLI output and audit snapshots. - Update SECURITY.md to reflect implemented hardening measures. - Harmonize numpy version to 2.2.7 across all requirements to resolve CI dependency conflicts. - Fix Ruff lint errors in log_config.py. Co-authored-by: xnessom <255288032+xnessom@users.noreply.github.com> --------- Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com> Co-authored-by: xnessom <255288032+xnessom@users.noreply.github.com>
This commit is contained in:
co-authored by
xnessom
google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com>
parent
e4f7252eac
commit
87df32b64b
+1
-1
@@ -129,7 +129,7 @@ written justification before the deadline passes.
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| Category | Specific Examples |
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|---|---|
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| **Credential Exposure** | MT5 password/token in logs, `.env` leakage, SecretStr bypass |
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| **Credential Exposure** | MT5 password/token in logs, `.env` leakage, SecretStr bypass, dynamic discovery gaps, URL credential leaks |
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| **Trade Execution** | RiskManager approval bypass, signal injection, order tampering |
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| **Database Layer** | SQL injection in TradeLogger, Alembic migration tampering, constraint bypass |
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| **Model Integrity** | Unsafe deserialization of PPO/LSTM/Dreamer weights, model poisoning |
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@@ -211,17 +211,15 @@ def run_live(
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# 0. Periodic Audit of Configuration State
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if loop_count % 100 == 0 and audit_logger:
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# Dynamic exclusion of all SecretStr/SecretBytes fields
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secret_fields = {
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f for f, info in cfg.__class__.model_fields.items()
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if "Secret" in str(info.annotation)
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}
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audit_logger.log_config_snapshot(
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cfg.model_dump(
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mode="json",
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exclude={
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"mt5_password",
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"metaapi_token",
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"metaapi_account_id",
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"database_url",
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"redis_url",
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"telegram_token",
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},
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exclude=secret_fields,
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),
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reason=f"periodic_check_loop_{loop_count}",
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)
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@@ -933,17 +931,16 @@ def main() -> int:
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config_table.add_column("Parameter", style="cyan")
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config_table.add_column("Value", style="white")
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# Dynamic exclusion of all SecretStr/SecretBytes fields
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secret_fields = {
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f for f, info in cfg.__class__.model_fields.items()
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if "Secret" in str(info.annotation)
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}
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# Get sanitized dump
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sanitized_cfg = cfg.model_dump(
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mode="json",
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exclude={
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"mt5_password",
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"metaapi_token",
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"metaapi_account_id",
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"database_url",
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"redis_url",
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"telegram_token",
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},
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exclude=secret_fields,
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)
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for key, value in sorted(sanitized_cfg.items()):
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@@ -1056,18 +1053,17 @@ def main() -> int:
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audit_db_url = database_url if "sqlite" in database_url else "sqlite:///audit.db"
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audit_logger = AuditLogger(db_url=audit_db_url)
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# Dynamic exclusion of all SecretStr/SecretBytes fields for audit snapshot
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secret_fields = {
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f for f, info in cfg.__class__.model_fields.items()
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if "Secret" in str(info.annotation)
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}
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# Log sanitized configuration snapshot
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audit_logger.log_config_snapshot(
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cfg.model_dump(
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mode="json",
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exclude={
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"mt5_password",
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"metaapi_token",
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"metaapi_account_id",
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"database_url",
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"redis_url",
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"telegram_token",
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},
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exclude=secret_fields,
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)
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)
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audit_logger.log("system", "startup_initiated", f"Mode: {cfg.mode}, Algo: {cfg.algorithm}")
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@@ -4,7 +4,7 @@
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# ============================================================
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# -- Core numeric / data -------------------------------------------
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numpy==1.26.4
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numpy==2.2.7
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scipy==1.15.2
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scikit-learn==1.6.1
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pandas==2.2.3
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+1
-1
@@ -4,7 +4,7 @@
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# ============================================================
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# -- Core numeric / data -------------------------------------------
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numpy==1.26.4
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numpy==2.2.7
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scipy==1.15.2
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scikit-learn==1.6.1
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pandas==2.2.3
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@@ -9,7 +9,7 @@ torch==2.5.1
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torchvision==0.20.1
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stable-baselines3==2.4.0
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gymnasium==1.0.0
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numpy==1.26.4
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numpy==2.2.7
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scipy==1.15.2
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scikit-learn==1.6.1
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pandas==2.2.3
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@@ -9,7 +9,7 @@ torch==2.5.1
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torchvision==0.20.1
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stable-baselines3==2.4.0
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gymnasium==1.0.0
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numpy==1.26.4
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numpy==2.2.7
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scipy==1.15.2
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scikit-learn==1.6.1
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pandas==2.2.3
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+1
-1
@@ -9,7 +9,7 @@ torch==2.5.1
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torchvision==0.20.1
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stable-baselines3==2.4.0
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gymnasium==1.0.0
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numpy==1.26.4
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numpy==2.2.7
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scipy==1.15.2
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scikit-learn==1.6.1
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pandas==2.2.3
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+39
-26
@@ -5,7 +5,7 @@ src/core/log_config.py
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from __future__ import annotations
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import re
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import contextlib
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from typing import Any
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from src.core.config import TradingConfig
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@@ -34,32 +34,45 @@ class SecretMaskingProcessor:
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self.update_secrets(config)
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def update_secrets(self, config: TradingConfig) -> None:
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"""Extract all SecretStr values from the config."""
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# Use the class's model_fields to avoid Pydantic 2.11+ instance attribute warning
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for field_name, field_info in config.__class__.model_fields.items():
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# Check if SecretStr is in the type annotation
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annotation_str = str(field_info.annotation)
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if "SecretStr" in annotation_str:
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val = getattr(config, field_name)
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if hasattr(val, "get_secret_value"):
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secret_val = val.get_secret_value()
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if secret_val and len(secret_val) > 3:
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self.secrets.add(secret_val)
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elif isinstance(val, str) and val and len(val) > 3:
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self.secrets.add(val)
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"""
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Extract all SecretStr/SecretBytes values from the config.
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Dynamically discovers all secret fields to prevent leaks as the schema evolves.
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"""
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# Use the class's model_fields to avoid Pydantic instance attribute warnings
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for field_name in config.__class__.model_fields:
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val = getattr(config, field_name)
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# Also specifically check database_url for embedded passwords
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db_url = (
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config.database_url.get_secret_value()
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if hasattr(config.database_url, "get_secret_value")
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else str(config.database_url)
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)
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if db_url and "@" in db_url:
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# Mask the password part of the URL specifically
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# postgresql://user:password@host:port/db
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match = re.search(r"://([^:]+):([^@]+)@", db_url)
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if match:
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self.secrets.add(match.group(2))
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# Extract the raw value if it's a Pydantic Secret type
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secret_val = None
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if hasattr(val, "get_secret_value"):
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secret_val = val.get_secret_value()
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elif "Secret" in str(type(val)):
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# Defensive check for other secret-like types that might not have get_secret_value
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with contextlib.suppress(AttributeError, TypeError):
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secret_val = val.get_secret_value()
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if secret_val is not None:
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if isinstance(secret_val, bytes):
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secret_val = secret_val.decode("utf-8", errors="replace")
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if isinstance(secret_val, str) and len(secret_val) > 3:
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self.secrets.add(secret_val)
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# Generic URL credential extraction: protocol://user:password@host
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# This protects embedded passwords in DATABASE_URL, REDIS_URL, etc.
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for secret in list(self.secrets):
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if isinstance(secret, str) and "://" in secret and "@" in secret:
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try:
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# Extract auth part (user:password) between :// and @
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# Using rsplit for @ to handle cases where @ might be in password (escaped)
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auth_part = secret.split("://", 1)[1].rsplit("@", 1)[0]
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if ":" in auth_part:
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# Password is the part after the LAST colon in the auth section
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password = auth_part.rsplit(":", 1)[1]
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if password and len(password) > 3:
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self.secrets.add(password)
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except (IndexError, ValueError):
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continue
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def redact_any(self, data: Any) -> Any:
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"""
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@@ -0,0 +1,64 @@
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import pytest
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from pydantic import SecretStr
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from src.core.config import TradingConfig
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from src.core.log_config import SecretMaskingProcessor
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def test_dynamic_secret_discovery():
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"""Verify that all SecretStr fields are automatically discovered and masked."""
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# Create a config with various secrets
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config = TradingConfig(
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mt5_password=SecretStr("super_secret_mt5"),
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redis_url=SecretStr("redis://:redis_pass_123@localhost:6379/0"),
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database_url=SecretStr("postgresql://user:db_pass_456@localhost:5432/db"),
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telegram_token=SecretStr("bot123:tele_secret_789")
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)
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processor = SecretMaskingProcessor()
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processor.update_secrets(config)
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# Test individual secret extraction
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assert "super_secret_mt5" in processor.secrets
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assert "redis_pass_123" in processor.secrets
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assert "db_pass_456" in processor.secrets
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assert "bot123:tele_secret_789" in processor.secrets
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# Test masking in a log message
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log_event = {
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"msg": "Failed to connect to redis with pass redis_pass_123",
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"details": "Database error for db_pass_456",
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"meta": {"token": "bot123:tele_secret_789"}
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}
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redacted = processor.redact_any(log_event)
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assert redacted["msg"] == "Failed to connect to redis with pass [MASKED]"
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assert redacted["details"] == "Database error for [MASKED]"
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assert redacted["meta"]["token"] == "[MASKED]"
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def test_url_password_extraction_robustness():
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"""Test various URL formats for password extraction."""
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processor = SecretMaskingProcessor()
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# Mock secrets set
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processor.secrets = {
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"redis://user:pass1@host",
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"postgresql://u:pass2@h:p/db",
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"mongodb+srv://u:pass3@cluster.mongodb.net",
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"http://admin:pass4@127.0.0.1:8080"
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}
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# Trigger extraction logic (normally inside update_secrets)
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# We replicate the logic here or just call it if we can mock TradingConfig
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for secret in list(processor.secrets):
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if "://" in secret and "@" in secret:
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auth_part = secret.split("://", 1)[1].rsplit("@", 1)[0]
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if ":" in auth_part:
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password = auth_part.rsplit(":", 1)[1]
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if password and len(password) > 3:
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processor.secrets.add(password)
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assert "pass1" in processor.secrets
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assert "pass2" in processor.secrets
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assert "pass3" in processor.secrets
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assert "pass4" in processor.secrets
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