feat(profiler/behave_shell): G.2 operational.opsec_discipline
* careful — operator hits OPSEC_HISTORY_TOKENS AND tail-K commands include _CLEANUP_TOKEN_HASHES (re-imported from temporal.py). * learning — history hit without cleanup-tail follow-through. * careless — no history-clearing vocabulary at all. Confidence 0.45 (small lexicon, soft); 0.30 below MIN_COMMANDS_FOR_FULL_CONFIDENCE.
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2
.gitignore
vendored
2
.gitignore
vendored
@@ -62,4 +62,4 @@ package-lock.json
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# payloads — operator-only artifact. The synthetic ``seed_*.jsonl``
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# files alongside ARE committed and exercise the harness in CI.
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tests/ttp/rule_precision/corpus/*.jsonl
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!tests/ttp/rule_precision/corpus/seed_*.jsonl
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tests/ttp/rule_precision/corpus/seed_*.jsonl
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@@ -33,6 +33,7 @@ from decnet.profiler.behave_shell._features.environmental import (
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)
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from decnet.profiler.behave_shell._features.operational import (
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objective,
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opsec_discipline,
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)
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from decnet.profiler.behave_shell._features.temporal import (
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escalation_pattern,
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@@ -85,4 +86,5 @@ FEATURES: tuple[FeatureFn, ...] = (
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keyboard_layout,
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numpad_usage,
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objective,
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opsec_discipline,
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)
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@@ -14,10 +14,18 @@ from decnet_behave_core.spec.envelope import Observation
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from decnet.profiler.behave_shell._ctx import SessionContext
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from decnet.profiler.behave_shell._features._emit import make_observation
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from decnet.profiler.behave_shell._intent import classify_intent
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from decnet.profiler.behave_shell._features.temporal import (
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_CLEANUP_TOKEN_HASHES,
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)
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from decnet.profiler.behave_shell._intent import (
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OPSEC_HISTORY_TOKENS,
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classify_intent,
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)
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from decnet.profiler.behave_shell._thresholds import (
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EXIT_BEHAVIOR_LOOKBACK_K,
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INTENT_FULL_CONFIDENCE_MIN,
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INTENT_MIN_COMMANDS,
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MIN_COMMANDS_FOR_FULL_CONFIDENCE,
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)
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@@ -60,3 +68,44 @@ def objective(ctx: SessionContext) -> Iterator[Observation]:
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value=value,
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confidence=confidence,
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)
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def opsec_discipline(ctx: SessionContext) -> Iterator[Observation]:
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"""Emit ``operational.opsec_discipline`` ∈ {careful, careless, learning}.
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* ``careful`` — operator hits ``OPSEC_HISTORY_TOKENS`` AND the
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tail-K (=``EXIT_BEHAVIOR_LOOKBACK_K``) commands include cleanup
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vocabulary (locally re-derived; we do **not** read prior
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observations).
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* ``learning`` — operator hits ``OPSEC_HISTORY_TOKENS`` but does
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NOT close with cleanup tokens. Half-discipline.
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* ``careless`` — no ``OPSEC_HISTORY_TOKENS`` hits at all.
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Skip emission when no commands. Confidence 0.45 (small lexicon,
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soft); 0.30 below ``MIN_COMMANDS_FOR_FULL_CONFIDENCE`` (=5).
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"""
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if not ctx.commands:
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return
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has_history = any(
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c.first_token_hash in OPSEC_HISTORY_TOKENS for c in ctx.commands
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)
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tail = ctx.commands[-EXIT_BEHAVIOR_LOOKBACK_K:]
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has_cleanup_tail = any(
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c.first_token_hash in _CLEANUP_TOKEN_HASHES for c in tail
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)
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if not has_history:
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value = "careless"
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elif has_cleanup_tail:
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value = "careful"
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else:
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value = "learning"
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if len(ctx.commands) < MIN_COMMANDS_FOR_FULL_CONFIDENCE:
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confidence = 0.30
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else:
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confidence = 0.45
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yield make_observation(
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ctx,
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primitive="operational.opsec_discipline",
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value=value,
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confidence=confidence,
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)
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@@ -31,7 +31,7 @@ class Topology(SQLModel, table=True):
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id: str = Field(default_factory=lambda: str(uuid4()), primary_key=True)
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name: str = Field(index=True, unique=True)
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mode: Literal["unihost", "agent"] = Field(
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default="unihost", sa_column=Column("mode", String, nullable=False, default="unihost")
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default="unihost", sa_column=Column("mode", String(16), nullable=False, default="unihost")
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)
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# When ``mode == "agent"``, pins this topology to a specific enrolled
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# worker. ``None`` for unihost topologies (master-local deploy).
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@@ -46,7 +46,7 @@ class Topology(SQLModel, table=True):
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"pending", "deploying", "active", "degraded", "failed", "tearing_down", "torn_down"
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] = Field(
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default="pending",
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sa_column=Column("status", String, nullable=False, default="pending", index=True),
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sa_column=Column("status", String(32), nullable=False, default="pending", index=True),
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)
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status_changed_at: datetime = Field(
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default_factory=lambda: datetime.now(timezone.utc)
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@@ -121,7 +121,7 @@ class TopologyDecky(SQLModel, table=True):
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"pending", "running", "failed", "torn_down", "degraded", "tearing_down", "teardown_failed"
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] = Field(
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default="pending",
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sa_column=Column("state", String, nullable=False, default="pending", index=True),
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sa_column=Column("state", String(32), nullable=False, default="pending", index=True),
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)
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last_error: Optional[str] = Field(
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default=None, sa_column=Column("last_error", Text, nullable=True)
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@@ -186,13 +186,13 @@ class TopologyMutation(SQLModel, table=True):
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)
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id: str = Field(default_factory=lambda: str(uuid4()), primary_key=True)
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topology_id: str = Field(foreign_key="topologies.id", index=True)
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op: _MUTATION_OPS = Field(sa_column=Column("op", String, nullable=False, index=True))
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op: _MUTATION_OPS = Field(sa_column=Column("op", String(32), nullable=False, index=True))
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payload: str = Field(
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sa_column=Column("payload", _BIG_TEXT, nullable=False, default="{}")
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)
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state: Literal["pending", "applying", "applied", "failed"] = Field(
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default="pending",
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sa_column=Column("state", String, nullable=False, default="pending", index=True),
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sa_column=Column("state", String(32), nullable=False, default="pending", index=True),
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)
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requested_at: datetime = Field(
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default_factory=lambda: datetime.now(timezone.utc), index=True
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@@ -24,7 +24,7 @@ interface ConfigData {
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const Config: React.FC = () => {
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const [config, setConfig] = useState<ConfigData | null>(null);
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const [loading, setLoading] = useState(true);
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const [activeTab, setActiveTab] = useState<'limits' | 'users' | 'globals' | 'appearance' | 'workers'>('limits');
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const [activeTab, setActiveTab] = useState<'limits' | 'users' | 'globals' | 'appearance' | 'workers' | 'ttp'>('limits');
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const [accent, setAccent] = useState<'matrix' | 'violet'>(() => {
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try {
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const raw = localStorage.getItem('decnet_tweaks');
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@@ -139,8 +139,8 @@
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font-family: var(--mono, ui-monospace, monospace);
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font-size: 0.74rem;
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display: grid;
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grid-template-columns: 60px 1fr;
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column-gap: 12px;
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grid-template-columns: max-content 1fr;
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column-gap: 14px;
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row-gap: 3px;
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max-height: 320px;
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overflow-y: auto;
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@@ -153,12 +153,14 @@
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font-size: 0.66rem;
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align-self: baseline;
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padding-top: 2px;
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white-space: nowrap;
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}
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.ttp-evidence-v {
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color: var(--matrix);
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word-break: break-all;
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white-space: pre-wrap;
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min-width: 0;
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}
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.ttp-empty {
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@@ -0,0 +1,73 @@
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"""Step G.2: ``operational.opsec_discipline`` ∈ {careful, careless, learning}."""
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from __future__ import annotations
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from decnet.profiler.behave_shell import extract_session
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from decnet.profiler.behave_shell._parse import AsciinemaEvent
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PRIMITIVE = "operational.opsec_discipline"
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def _of(observations: list, primitive: str):
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obs = [o for o in observations if o.primitive == primitive]
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assert len(obs) == 1, f"expected exactly one {primitive}, got {len(obs)}"
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return obs[0]
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def _typed(text: str, t0: float = 0.0, dt: float = 0.05) -> list[AsciinemaEvent]:
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return [(t0 + i * dt, "i", c) for i, c in enumerate(text)]
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def _cmd(token: str, t0: float, *, with_prompt: bool = True) -> list[AsciinemaEvent]:
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events = _typed(f"{token}\r", t0=t0)
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cmd_end = t0 + len(token) * 0.05
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if with_prompt:
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events.append((cmd_end + 0.10, "o", "out\nanti@host:~$ "))
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else:
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events.append((cmd_end + 0.10, "o", "out\n"))
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return events
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def test_no_commands_no_emission() -> None:
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out = list(extract_session([(0.0, "i", "x")], sid="g2-empty"))
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assert [o for o in out if o.primitive == PRIMITIVE] == []
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def test_careless_no_history_tokens() -> None:
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events = _cmd("ls", t0=0.0) + _cmd("pwd", t0=1.0) + _cmd("cat", t0=2.0)
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obs = _of(list(extract_session(events, sid="g2-careless")), PRIMITIVE)
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assert obs.value == "careless"
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def test_careful_history_then_cleanup_tail() -> None:
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"""``history`` early + ``rm`` / ``shred`` in tail-3 → careful."""
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events = (
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_cmd("history", t0=0.0)
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+ _cmd("ls", t0=1.0)
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+ _cmd("pwd", t0=2.0)
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+ _cmd("rm", t0=3.0)
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+ _cmd("shred", t0=4.0)
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+ _cmd("clear", t0=5.0)
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)
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obs = _of(list(extract_session(events, sid="g2-careful")), PRIMITIVE)
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assert obs.value == "careful"
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def test_learning_history_no_cleanup_tail() -> None:
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"""``history`` hit but tail is recon — knows the trick, doesn't apply."""
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events = (
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_cmd("history", t0=0.0)
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+ _cmd("ls", t0=1.0)
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+ _cmd("pwd", t0=2.0)
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+ _cmd("cat", t0=3.0)
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+ _cmd("find", t0=4.0)
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)
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obs = _of(list(extract_session(events, sid="g2-learning")), PRIMITIVE)
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assert obs.value == "learning"
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def test_low_command_count_drops_confidence() -> None:
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events = _cmd("ls", t0=0.0) + _cmd("pwd", t0=1.0)
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obs = _of(list(extract_session(events, sid="g2-thin")), PRIMITIVE)
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assert obs.confidence == 0.30
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assert obs.value == "careless"
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70
threatfox-api.json
Normal file
70
threatfox-api.json
Normal file
@@ -0,0 +1,70 @@
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{
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"query_status": "ok",
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"data": {
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"1": {
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"ioc_type": "url",
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"fk_threat_type": "payload_delivery",
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"description": "URL that delivers a malware payload"
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},
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"2": {
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"ioc_type": "domain",
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"fk_threat_type": "payload_delivery",
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"description": "Domain name that delivers a malware payload"
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},
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"3": {
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"ioc_type": "ip:port",
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"fk_threat_type": "payload_delivery",
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"description": "ip:port combination that delivery a malware payload"
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},
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"4": {
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"ioc_type": "url",
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"fk_threat_type": "botnet_cc",
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"description": "URL that is used for botnet Command&control (C&C)"
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},
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"5": {
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"ioc_type": "domain",
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"fk_threat_type": "botnet_cc",
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"description": "Domain that is used for botnet Command&control (C&C)"
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},
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"6": {
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"ioc_type": "ip:port",
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"fk_threat_type": "botnet_cc",
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"description": "ip:port combination that is used for botnet Command&control (C&C)"
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},
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"7": {
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"ioc_type": "envelope_from",
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"fk_threat_type": "payload_delivery",
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"description": "Sender email address (envelope from) that is used for payload delivery"
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},
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"8": {
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"ioc_type": "body_from",
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"fk_threat_type": "payload_delivery",
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"description": "Sender email address (body from) that is used for payload delivery"
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},
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"9": {
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"ioc_type": "md5_hash",
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"fk_threat_type": "payload",
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"description": "MD5 hash of a malware sample (payload)"
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},
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"10": {
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"ioc_type": "sha256_hash",
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"fk_threat_type": "payload",
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"description": "SHA256 hash of a malware sample (payload)"
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},
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"11": {
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"ioc_type": "sha3_384_hash",
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"fk_threat_type": "payload",
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"description": "SHA3-384 hash of a malware sample (payload)"
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},
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"12": {
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"ioc_type": "sha1_hash",
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"fk_threat_type": "payload",
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"description": "SHA1 hash of a malware sample (payload)"
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},
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"13": {
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"ioc_type": "domain",
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"fk_threat_type": "cc_skimming",
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"description": "Domain used for credit card skimming (usually related to Magecart attacks)"
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}
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}
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}
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