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chore: import upstream snapshot with attribution
2026-07-13 13:08:55 +08:00

395 lines
14 KiB
Python

"""Tests for credential leak fixes that address findings from the PR #4452 audit.
Covers:
- PubMed engine: 5 ``logger.exception()`` calls replaced with dual-scrub
- Base class ``run()``: unredacted ``error_message`` persisted to database
- LLM config ``_log_llm_error``: ``logger.exception()`` replaced with ``logger.warning``
- Google PSE ``_validate_connection``: bare re-raise replaced with sanitized exception
- OpenAI compat errors: ``{exc!s}`` replaced with ``sanitize_error_message``
"""
import base64
from unittest.mock import Mock, patch
from urllib.parse import quote, quote_plus
import pytest
import requests
_LEAKED_KEY = "sk-leaked-sentinel-DO-NOT-APPEAR-12345"
def _all_encodings_of(secret: str) -> list:
return [
secret,
quote(secret, safe=""),
quote_plus(secret),
repr(secret)[1:-1],
base64.b64encode(secret.encode()).decode(),
secret[:8],
]
def _stub_rate_tracker() -> Mock:
tracker = Mock()
tracker.enabled = False
tracker.apply_rate_limit.return_value = 0
return tracker
# ── PubMed engine tests ──────────────────────────────────────────────
def _pubmed_engine():
"""Build a minimal PubMedSearchEngine for testing."""
from local_deep_research.web_search_engines.engines import (
search_engine_pubmed as mod,
)
engine = mod.PubMedSearchEngine.__new__(mod.PubMedSearchEngine)
engine.api_key = _LEAKED_KEY
engine.engine_type = "test_engine"
engine.rate_tracker = _stub_rate_tracker()
engine.summary_url = (
"https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esummary.fcgi"
)
engine.fetch_url = (
"https://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi"
)
engine.link_url = "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi"
engine.get_full_text = True
return mod, engine
@pytest.mark.parametrize(
"method_name,url_path,marker",
[
(
"_get_article_summaries",
"/esummary.fcgi?api_key=",
"Error getting article summaries",
),
(
"_get_article_abstracts",
"/efetch.fcgi?api_key=",
"Error getting article abstracts",
),
(
"_get_article_detailed_metadata",
"/efetch.fcgi?api_key=",
"Error getting detailed article metadata",
),
(
"_find_pmc_ids",
"/elink.fcgi?api_key=",
"Error finding PMC IDs",
),
(
"_get_pmc_full_text",
"/efetch.fcgi?api_key=",
"Error getting PMC full text",
),
],
)
class TestPubMedEngineKeyLeakage:
def test_no_leak_in_catch_block(
self, loguru_caplog_full, method_name, url_path, marker
):
"""Each PubMed method must scrub the API key before logging."""
mod, engine = _pubmed_engine()
exc = requests.exceptions.ConnectionError(
f"HTTPSConnectionPool: Max retries exceeded with url: "
f"{url_path}{_LEAKED_KEY}&id=12345"
)
with loguru_caplog_full.at_level("DEBUG"):
with patch.object(mod, "safe_get", side_effect=exc):
try:
method = getattr(engine, method_name)
if method_name == "_get_article_summaries":
method(["12345"])
elif method_name == "_find_pmc_ids":
method(["12345"])
elif method_name == "_get_pmc_full_text":
method("PMC12345")
else:
method(["12345"])
except requests.exceptions.RequestException:
pass
for encoding in _all_encodings_of(_LEAKED_KEY):
assert encoding not in loguru_caplog_full.text, (
f"{method_name}: api_key leaked as encoding {encoding!r}"
)
assert marker in loguru_caplog_full.text, (
f"{method_name}: catch-block marker {marker!r} not in logs — "
f"the redaction path may not have run. "
f"Captured: {loguru_caplog_full.text!r}"
)
# ── Base class database persistence tests ────────────────────────────
class TestBaseClassDatabasePersistence:
def test_error_message_sanitized_before_db_persist(self, loguru_caplog):
"""The ``error_message`` passed to ``SearchTracker.record_search``
must be sanitized so credentials don't persist to the database."""
from local_deep_research.web_search_engines.search_engine_base import (
BaseSearchEngine,
)
from local_deep_research.metrics.search_tracker import SearchTracker
class _TestEngine(BaseSearchEngine):
engine_type = "test_engine"
api_key = _LEAKED_KEY
def _get_previews(self, query, *args, **kwargs):
raise requests.exceptions.ConnectionError(
f"HTTPSConnectionPool: url: /search?api_key={_LEAKED_KEY}"
)
engine = _TestEngine.__new__(_TestEngine)
engine.api_key = _LEAKED_KEY
engine.engine_type = "test_engine"
engine.rate_tracker = _stub_rate_tracker()
engine.programmatic_mode = False
# __init__ always sets this (settings_snapshot or {}); run() and the
# egress-verification path read it. Bypassing __init__ via __new__
# omits it, which AttributeErrors only when a sibling test arms the
# global egress audit net — a parallel-run flake. Set it explicitly.
engine.settings_snapshot = {}
captured = {}
def _capture_record(**kwargs):
captured["error_message"] = kwargs.get("error_message")
with loguru_caplog.at_level("DEBUG"):
with (
patch.object(
SearchTracker, "record_search", side_effect=_capture_record
),
patch(
"local_deep_research.web_search_engines.search_engine_base.set_search_context"
),
):
engine.run("test query")
assert "error_message" in captured, "record_search was never called"
for encoding in _all_encodings_of(_LEAKED_KEY):
assert encoding not in captured["error_message"], (
f"api_key leaked into DB error_message as {encoding!r}: "
f"{captured['error_message']!r}"
)
def test_log_path_sanitizes_foreign_url_credentials(self, loguru_caplog):
"""The logged ``safe_msg`` in run() must run the regex sanitizer,
not just literal redaction.
Regression guard: a *foreign* credential (not the engine's own
api_key) embedded as ``https://user:pass@host`` is only caught by
sanitize_error_message's regex, not by redact_secrets(literal). The
log path previously used redact_secrets alone, so it leaked into the
log even though the DB path was dual-scrubbed.
"""
from local_deep_research.web_search_engines.search_engine_base import (
BaseSearchEngine,
)
from local_deep_research.metrics.search_tracker import SearchTracker
foreign_secret = "hunter2-foreign-pw-DO-NOT-APPEAR"
class _TestEngine(BaseSearchEngine):
engine_type = "test_engine"
api_key = "the-engines-own-key-unrelated"
def _get_previews(self, query, *args, **kwargs):
raise requests.exceptions.ConnectionError(
f"connect failed: https://admin:{foreign_secret}@es.local/_search"
)
engine = _TestEngine.__new__(_TestEngine)
engine.api_key = "the-engines-own-key-unrelated"
engine.engine_type = "test_engine"
engine.rate_tracker = _stub_rate_tracker()
engine.programmatic_mode = False
engine.settings_snapshot = {}
with loguru_caplog.at_level("DEBUG"):
with (
patch.object(SearchTracker, "record_search"),
patch(
"local_deep_research.web_search_engines.search_engine_base.set_search_context"
),
):
engine.run("test query")
assert foreign_secret not in loguru_caplog.text, (
f"foreign URL credential leaked into log: {loguru_caplog.text!r}"
)
# ── LLM config _log_llm_error tests ─────────────────────────────────
class TestLLMConfigLogError:
def test_no_leak_with_url_in_exception(self, loguru_caplog_full):
"""``_log_llm_error`` must not leak credentials from the exception."""
from local_deep_research.config.llm_config import _log_llm_error
exc = RuntimeError(
f"Connection to https://api.openai.com/v1?key={_LEAKED_KEY} failed"
)
with loguru_caplog_full.at_level("DEBUG"):
_log_llm_error(exc)
for encoding in _all_encodings_of(_LEAKED_KEY):
assert encoding not in loguru_caplog_full.text, (
f"_log_llm_error leaked key as {encoding!r}"
)
def test_uses_warning_not_exception(self, loguru_caplog):
"""``_log_llm_error`` should use ``logger.warning``, not
``logger.exception``, to avoid writing the traceback chain."""
from local_deep_research.config.llm_config import _log_llm_error
exc = RuntimeError("test error")
with loguru_caplog.at_level("DEBUG"):
_log_llm_error(exc)
assert "LLM Request - Failed with error" in loguru_caplog.text
assert "Traceback" not in loguru_caplog.text
# ── Google PSE _validate_connection tests ────────────────────────────
class TestGooglePSEValidateConnection:
def test_rethrown_exception_is_sanitized(self):
"""The re-thrown exception from ``_validate_connection`` must not
contain the API key in its string representation."""
from local_deep_research.web_search_engines.engines import (
search_engine_google_pse as mod,
)
engine = mod.GooglePSESearchEngine.__new__(mod.GooglePSESearchEngine)
engine.api_key = _LEAKED_KEY
exc = requests.exceptions.ConnectionError(
f"HTTPSConnectionPool: url: /v1?key={_LEAKED_KEY}"
)
engine._make_request = Mock(side_effect=exc)
caught = None
try:
engine._validate_connection()
except Exception as e:
caught = e
assert caught is not None
for encoding in _all_encodings_of(_LEAKED_KEY):
assert encoding not in str(caught), (
f"Re-thrown exception leaks key as {encoding!r}: {str(caught)!r}"
)
def test_exception_chain_suppressed(self):
"""``from None`` should suppress the original exception chain."""
from local_deep_research.web_search_engines.engines import (
search_engine_google_pse as mod,
)
engine = mod.GooglePSESearchEngine.__new__(mod.GooglePSESearchEngine)
engine.api_key = _LEAKED_KEY
exc = ValueError("original")
engine._make_request = Mock(side_effect=exc)
caught = None
try:
engine._validate_connection()
except Exception as e:
caught = e
assert caught is not None
assert caught.__cause__ is None
def test_log_output_sanitized(self, loguru_caplog_full):
"""The warning log from ``_validate_connection`` must not leak."""
from local_deep_research.web_search_engines.engines import (
search_engine_google_pse as mod,
)
engine = mod.GooglePSESearchEngine.__new__(mod.GooglePSESearchEngine)
engine.api_key = _LEAKED_KEY
exc = requests.exceptions.ConnectionError(
f"HTTPSConnectionPool: url: /v1?key={_LEAKED_KEY}"
)
engine._make_request = Mock(side_effect=exc)
with loguru_caplog_full.at_level("DEBUG"):
try:
engine._validate_connection()
except Exception:
pass
for encoding in _all_encodings_of(_LEAKED_KEY):
assert encoding not in loguru_caplog_full.text, (
f"_validate_connection log leaked key as {encoding!r}"
)
# ── OpenAI compat errors tests ───────────────────────────────────────
class TestOpenAICompatErrorDetails:
def test_details_with_url_key_redacted(self):
"""The ``Details:`` suffix must not contain URL query credentials."""
from local_deep_research.error_handling.openai_compat_errors import (
friendly_openai_compatible_error,
)
exc = RuntimeError(
f"Connection to https://api.host/v1?key={_LEAKED_KEY} failed"
)
result = friendly_openai_compatible_error(
exc, provider="test", base_url="https://api.host/v1", model="gpt-4"
)
for encoding in _all_encodings_of(_LEAKED_KEY):
assert encoding not in result, (
f"Details leaked key as {encoding!r}: {result!r}"
)
def test_details_with_bearer_redacted(self):
"""Bearer tokens must be scrubbed from the Details suffix."""
from local_deep_research.error_handling.openai_compat_errors import (
friendly_openai_compatible_error,
)
exc = RuntimeError(f"Bearer {_LEAKED_KEY} rejected")
result = friendly_openai_compatible_error(
exc, provider="test", base_url="https://api.host/v1", model="gpt-4"
)
for encoding in _all_encodings_of(_LEAKED_KEY):
assert encoding not in result
def test_no_secrets_preserves_details(self):
"""Non-sensitive details should be preserved."""
from local_deep_research.error_handling.openai_compat_errors import (
friendly_openai_compatible_error,
)
exc = RuntimeError("connection refused on port 443")
result = friendly_openai_compatible_error(
exc, provider="test", base_url="https://api.host/v1", model="gpt-4"
)
assert "connection refused on port 443" in result