Port the bash prototype to a structured, testable Python codebase while
preserving the same control loop and the seven detection signatures. The bash
implementation stays in src/ as the regression oracle.
Highlights:
- enodia_sentinel/ package (stdlib only — no runtime deps):
- detectors/ : one pure function per signature, detect(state, cfg)->Alerts
- system.py : SystemState — one cached /proc + ss snapshot per sweep,
fully injectable so detectors are unit-testable
- daemon.py : sweep loop, in-process cooldown dedup, threaded snapshot
capture, and a SUID filesystem scan moved OFF the loop
thread onto a slow background cadence
- snapshot.py: forensic text + JSON sidecar with per-signature IR guidance
- config.py : dataclass config via TOML + env overrides
- netutil.py : public-IP / CIDR logic via stdlib ipaddress
- tests/ : 25 stdlib-unittest cases (no root, no /proc, no ss needed)
- TOML config, launcher wrapper, Makefile (pip-free install), hardened
systemd unit (env-resolved ExecStart), updated PKGBUILD, rewritten README
Performance: per-sweep cost ~200 ms (shared cached state); the multi-second
SUID walk no longer blocks detection. scandir-based walk replaces os.walk.
Verified on Arch: all 7 detectors fire on red-team drills (reverse_shell,
ld_preload, deleted_exe, new_listener, new_suid confirmed live end-to-end),
no false positives on a clean sweep, 25/25 tests pass.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
39 lines
957 B
Python
39 lines
957 B
Python
"""Alert and severity types shared by all detectors."""
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from __future__ import annotations
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import enum
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from dataclasses import dataclass, field
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class Severity(enum.IntEnum):
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MEDIUM = 1
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HIGH = 2
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CRITICAL = 3
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def __str__(self) -> str: # pragma: no cover - trivial
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return self.name
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@dataclass(frozen=True)
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class Alert:
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"""A single detection.
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`key` is a stable dedup identity (e.g. ``rsh:1234``) used by the daemon's
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cooldown so the same condition doesn't re-fire every sweep. `pids` lists
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processes the snapshot should deep-dive.
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"""
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severity: Severity
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signature: str
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key: str
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detail: str
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pids: tuple[int, ...] = field(default_factory=tuple)
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def to_dict(self) -> dict:
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return {
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"severity": str(self.severity),
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"signature": self.signature,
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"key": self.key,
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"detail": self.detail,
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"pids": list(self.pids),
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}
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