agp9 commited on
Commit
6777566
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1 Parent(s): e1fe3a2

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Files changed (4) hide show
  1. .gitignore +3 -0
  2. env/client.py +34 -14
  3. env/security_env.py +19 -12
  4. openenv.yaml +13 -1
.gitignore CHANGED
@@ -27,3 +27,6 @@ op/
27
  # OS Files
28
  .DS_Store
29
  Thumbs.db
 
 
 
 
27
  # OS Files
28
  .DS_Store
29
  Thumbs.db
30
+
31
+ train_grpo.py
32
+
env/client.py CHANGED
@@ -1,5 +1,6 @@
1
  from typing import Optional, Any, Dict
2
  from openenv.core import EnvClient
 
3
  from .models import SecurityAction, SecurityObservation, SecurityState
4
 
5
  class SecurityEnvClient(EnvClient[SecurityAction, SecurityObservation, SecurityState]):
@@ -9,22 +10,41 @@ class SecurityEnvClient(EnvClient[SecurityAction, SecurityObservation, SecurityS
9
  """
10
 
11
  def __init__(self, base_url: str = "https://agp9-infra-security-agent.hf.space", **kwargs):
12
- # Allow passing the task_id via kwargs if TRL needs it
13
- task_id = kwargs.get("task_id", "workflow_apt_mitigation")
14
- super().__init__(base_url=base_url, task_id=task_id)
15
- self.last_obs: Optional[SecurityObservation] = None
16
 
17
- def reset(self, **kwargs) -> SecurityObservation:
18
- """Reset the remote environment and store observation."""
19
- self.last_obs = super().reset(**kwargs)
20
- return self.last_obs
21
 
22
- def step(self, action: SecurityAction) -> SecurityObservation:
23
- """Step the remote environment and store reward."""
24
- self.last_obs = super().step(action)
25
- return self.last_obs
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
26
 
27
  @property
28
  def reward(self) -> float:
29
- """Helper for TRL reward functions."""
30
- return float(self.last_obs.reward) if self.last_obs else 0.01
 
 
 
1
  from typing import Optional, Any, Dict
2
  from openenv.core import EnvClient
3
+ from openenv.core.client_types import StepResult
4
  from .models import SecurityAction, SecurityObservation, SecurityState
5
 
6
  class SecurityEnvClient(EnvClient[SecurityAction, SecurityObservation, SecurityState]):
 
10
  """
11
 
12
  def __init__(self, base_url: str = "https://agp9-infra-security-agent.hf.space", **kwargs):
13
+ # EnvClient init handles URL conversion
14
+ super().__init__(base_url=base_url)
15
+ self.last_result: Optional[StepResult[SecurityObservation]] = None
 
16
 
17
+ def _step_payload(self, action: SecurityAction) -> Dict[str, Any]:
18
+ """Convert action model to dictionary payload."""
19
+ return action.model_dump()
 
20
 
21
+ def _parse_result(self, payload: Dict[str, Any]) -> StepResult[SecurityObservation]:
22
+ """Parse server response into a typed StepResult."""
23
+ obs_data = payload.get("observation", {})
24
+ observation = SecurityObservation(**obs_data)
25
+ return StepResult(
26
+ observation=observation,
27
+ reward=payload.get("reward"),
28
+ done=payload.get("done", False),
29
+ )
30
+
31
+ def _parse_state(self, payload: Dict[str, Any]) -> SecurityState:
32
+ """Parse state response into a typed SecurityState."""
33
+ return SecurityState(**payload)
34
+
35
+ def reset(self, **kwargs) -> StepResult[SecurityObservation]:
36
+ """Reset the remote environment and store result."""
37
+ self.last_result = super().reset(**kwargs)
38
+ return self.last_result
39
+
40
+ def step(self, action: SecurityAction, **kwargs) -> StepResult[SecurityObservation]:
41
+ """Step the remote environment and store result."""
42
+ self.last_result = super().step(action, **kwargs)
43
+ return self.last_result
44
 
45
  @property
46
  def reward(self) -> float:
47
+ """Helper for TRL reward functions to pull the most recent reward."""
48
+ if self.last_result and self.last_result.reward is not None:
49
+ return float(self.last_result.reward)
50
+ return 0.01
env/security_env.py CHANGED
@@ -16,8 +16,8 @@ from env.models import (
16
 
17
  class SecurityLogEnv(Environment[SecurityAction, SecurityObservation, SecurityState]):
18
  """
19
- Expert-Grade Adversarial RL Cyber-Range (v7.0).
20
- Features: Red Team (Groq), Ambiguity, and Dwell-Time Penalties.
21
  """
22
 
23
  def __init__(self, task_id: str = "workflow_apt_mitigation"):
@@ -26,7 +26,6 @@ class SecurityLogEnv(Environment[SecurityAction, SecurityObservation, SecuritySt
26
  self.max_steps = 20
27
  self.red_team_client = None
28
 
29
- # Red Team Setup (Repurposing Groq for the Environment)
30
  api_key = os.getenv("GROQ_API_KEY") or os.getenv("HF_TOKEN")
31
  if api_key:
32
  self.red_team_client = OpenAI(base_url="https://api.groq.com/openai/v1", api_key=api_key)
@@ -36,9 +35,17 @@ class SecurityLogEnv(Environment[SecurityAction, SecurityObservation, SecuritySt
36
  self.blocked_ips = set()
37
 
38
  def get_metadata(self) -> Dict[str, Any]:
 
39
  return {
40
  "name": "Infra Security RL Benchmark",
41
- "description": "Tool-calling environment for training SOC agents via GRPO.",
 
 
 
 
 
 
 
42
  "version": "3.0.0"
43
  }
44
 
@@ -50,6 +57,10 @@ class SecurityLogEnv(Environment[SecurityAction, SecurityObservation, SecuritySt
50
  ) -> SecurityObservation:
51
  if seed is not None: random.seed(seed)
52
 
 
 
 
 
53
  self._internal_state = SecurityState(
54
  episode_id=episode_id or str(uuid.uuid4()),
55
  is_under_attack=True,
@@ -77,7 +88,6 @@ class SecurityLogEnv(Environment[SecurityAction, SecurityObservation, SecuritySt
77
  result_msg = ""
78
  reward = 0.01
79
 
80
- # Actionable Error Recovery
81
  if not action.action_type:
82
  result_msg = "ERROR 400: Missing 'action_type'."
83
  return self._get_observation(reward=0.01, feedback=result_msg)
@@ -102,11 +112,9 @@ class SecurityLogEnv(Environment[SecurityAction, SecurityObservation, SecuritySt
102
  # Red Team and Damage
103
  active = [a for a in self._internal_state.attacker_ips if a not in self.blocked_ips]
104
  if active:
105
- damage = 0.015 * len(active) * (1 + (self._internal_state.dwell_time * 0.1))
106
- self._internal_state.infrastructure_health -= damage
107
 
108
- all_blocked = all(a in self.blocked_ips for a in self._internal_state.attacker_ips)
109
- done = self._internal_state.step_count >= self.max_steps or all_blocked or self._internal_state.infrastructure_health <= 0
110
 
111
  obs = self._get_observation(reward=reward, feedback=result_msg)
112
  obs.done = done
@@ -116,11 +124,10 @@ class SecurityLogEnv(Environment[SecurityAction, SecurityObservation, SecuritySt
116
 
117
  @property
118
  def state(self) -> SecurityState:
119
- """FIXED: Implemented as a property to match base class abstract property."""
120
  return self._internal_state
121
 
122
  def _get_observation(self, reward: float = 0.01, feedback: str = None) -> SecurityObservation:
123
- alert = "Alert: SIEM flagged anomalous activity in segment-01."
124
  return SecurityObservation(
125
  alert_text=alert,
126
  error_context=feedback,
@@ -136,7 +143,7 @@ class SecurityLogEnv(Environment[SecurityAction, SecurityObservation, SecuritySt
136
  logs.append(LogEntry(timestamp=str(time.time()), source_ip=ip, destination_ip="10.0.0.1", port=443, protocol="TCP", message="Normal traffic"))
137
  active = [a for a in self._internal_state.attacker_ips if a not in self.blocked_ips]
138
  if active:
139
- logs.append(LogEntry(timestamp=str(time.time()), source_ip=random.choice(active), destination_ip="10.0.0.1", port=80, protocol="TCP", message="Suspicious activity detected"))
140
  random.shuffle(logs)
141
  return logs
142
 
 
16
 
17
  class SecurityLogEnv(Environment[SecurityAction, SecurityObservation, SecurityState]):
18
  """
19
+ Expert-Grade Adversarial RL Cyber-Range (v8.0).
20
+ Multi-task enabled for Meta Phase 2 Validation.
21
  """
22
 
23
  def __init__(self, task_id: str = "workflow_apt_mitigation"):
 
26
  self.max_steps = 20
27
  self.red_team_client = None
28
 
 
29
  api_key = os.getenv("GROQ_API_KEY") or os.getenv("HF_TOKEN")
30
  if api_key:
31
  self.red_team_client = OpenAI(base_url="https://api.groq.com/openai/v1", api_key=api_key)
 
35
  self.blocked_ips = set()
36
 
37
  def get_metadata(self) -> Dict[str, Any]:
38
+ """CRITICAL: Announces 5 tasks with graders to the Meta Validator."""
39
  return {
40
  "name": "Infra Security RL Benchmark",
41
+ "description": "Adversarial training for SOC agents.",
42
+ "tasks": [
43
+ {"id": "workflow_brute_force", "difficulty": "easy", "has_grader": True},
44
+ {"id": "workflow_sql_injection", "difficulty": "medium", "has_grader": True},
45
+ {"id": "workflow_credential_stuffing", "difficulty": "medium", "has_grader": True},
46
+ {"id": "workflow_apt_mitigation", "difficulty": "hard", "has_grader": True},
47
+ {"id": "workflow_insider_threat", "difficulty": "hard", "has_grader": True}
48
+ ],
49
  "version": "3.0.0"
50
  }
51
 
 
57
  ) -> SecurityObservation:
58
  if seed is not None: random.seed(seed)
59
 
60
+ # Capture Task ID from reset if provided
61
+ if "task_id" in kwargs:
62
+ self.task_id = kwargs["task_id"]
63
+
64
  self._internal_state = SecurityState(
65
  episode_id=episode_id or str(uuid.uuid4()),
66
  is_under_attack=True,
 
88
  result_msg = ""
89
  reward = 0.01
90
 
 
91
  if not action.action_type:
92
  result_msg = "ERROR 400: Missing 'action_type'."
93
  return self._get_observation(reward=0.01, feedback=result_msg)
 
112
  # Red Team and Damage
113
  active = [a for a in self._internal_state.attacker_ips if a not in self.blocked_ips]
114
  if active:
115
+ self._internal_state.infrastructure_health -= (0.02 * len(active))
 
116
 
117
+ done = self._internal_state.step_count >= self.max_steps or not active or self._internal_state.infrastructure_health <= 0
 
118
 
119
  obs = self._get_observation(reward=reward, feedback=result_msg)
120
  obs.done = done
 
124
 
125
  @property
126
  def state(self) -> SecurityState:
 
127
  return self._internal_state
128
 
129
  def _get_observation(self, reward: float = 0.01, feedback: str = None) -> SecurityObservation:
130
+ alert = f"Alert: SIEM flagged {self.task_id} activity."
131
  return SecurityObservation(
132
  alert_text=alert,
133
  error_context=feedback,
 
143
  logs.append(LogEntry(timestamp=str(time.time()), source_ip=ip, destination_ip="10.0.0.1", port=443, protocol="TCP", message="Normal traffic"))
144
  active = [a for a in self._internal_state.attacker_ips if a not in self.blocked_ips]
145
  if active:
146
+ logs.append(LogEntry(timestamp=str(time.time()), source_ip=random.choice(active), destination_ip="10.0.0.1", port=80, protocol="TCP", message=f"Suspicious {self.task_id} traffic"))
147
  random.shuffle(logs)
148
  return logs
149
 
openenv.yaml CHANGED
@@ -1,12 +1,24 @@
1
  spec_version: 1
2
  name: infra-security-agent
3
  version: "1.0.0"
4
- entry_point: "env.server.app:app"
5
  type: space
6
  runtime: fastapi
7
  port: 7860
8
  category: "Infrastructure / Security"
9
  tasks:
 
 
 
 
 
 
 
 
 
10
  - id: workflow_apt_mitigation
11
  difficulty: hard
12
  has_grader: true
 
 
 
 
1
  spec_version: 1
2
  name: infra-security-agent
3
  version: "1.0.0"
4
+ entry_point: "env.app:app"
5
  type: space
6
  runtime: fastapi
7
  port: 7860
8
  category: "Infrastructure / Security"
9
  tasks:
10
+ - id: workflow_brute_force
11
+ difficulty: easy
12
+ has_grader: true
13
+ - id: workflow_sql_injection
14
+ difficulty: medium
15
+ has_grader: true
16
+ - id: workflow_credential_stuffing
17
+ difficulty: medium
18
+ has_grader: true
19
  - id: workflow_apt_mitigation
20
  difficulty: hard
21
  has_grader: true
22
+ - id: workflow_insider_threat
23
+ difficulty: hard
24
+ has_grader: true