0.2.26: security hardening from audit (P2/P3 fixes)
Address the security-auditor findings the user selected (items 2, 3, 4): Default admin credentials (P2): remove the fixed `Ten31` default. First boot now generates a strong random admin password (secrets.token_urlsafe), records it 0600 at /data/.admin-password, and surfaces it once via a new "Show Initial Admin Password" StartOS action (CLI `show-admin-password`). The stored password is cleared when the admin is reset (CLI reset-password) or self-changes it (change-password endpoint). Login hardening (P2): add a per-IP in-memory sliding-window rate limiter (10 failures / 5 min -> 429 + Retry-After) in ratelimit.py; run a dummy argon2 verify when the user is unknown so timing can't enumerate usernames; keep a single generic 401 for unknown-user and wrong-password. Hardening (P3): server process now runs unprivileged -- Dockerfile adds uid 10001 appuser; start.sh (still root) chowns the mounted /data then drops via `setpriv` before exec'ing uvicorn. Spreadsheet imports are size-capped via storage.read_capped (413 past MAX_UPLOAD_SIZE) in the schedule, capital preview, and batch paths. batch_import no longer returns raw exception text (generic per-file messages). Verified in the packed amd64 container: PID1 uvicorn runs as uid 10001, /data owned 10001 with 0600 secrets; generated admin password retrievable via CLI and logs in (200); 11th bad login -> 429; admin reset clears the stored password. Tests: test_auth_hardening.py (4). Full suite 21 passed; frontend tsc + StartOS bundle clean. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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co-authored by
Claude Opus 4.8
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"""A tiny in-process sliding-window rate limiter for the login endpoint.
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The portal runs as a single uvicorn process, so an in-memory counter is enough to blunt
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online password guessing without adding a dependency or a shared store. It is keyed by client
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IP; only failed attempts are counted, and a successful login clears the key. This deliberately
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does NOT lock accounts (which would let anyone lock out a user by name) — it throttles the
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source of the guessing instead.
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"""
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import time
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from collections import defaultdict, deque
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from threading import Lock
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class SlidingWindowLimiter:
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def __init__(self, max_attempts: int, window_seconds: float):
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self.max_attempts = max_attempts
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self.window = window_seconds
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self._hits: dict[str, deque] = defaultdict(deque)
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self._lock = Lock()
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def _prune(self, key: str, now: float) -> deque:
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dq = self._hits[key]
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cutoff = now - self.window
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while dq and dq[0] <= cutoff:
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dq.popleft()
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if not dq:
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self._hits.pop(key, None)
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return dq
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def retry_after(self, key: str) -> float:
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"""Seconds until `key` may try again, or 0.0 if it is under the limit right now."""
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now = time.monotonic()
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with self._lock:
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dq = self._prune(key, now)
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if len(dq) < self.max_attempts:
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return 0.0
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return self.window - (now - dq[0])
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def record_failure(self, key: str) -> None:
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now = time.monotonic()
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with self._lock:
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self._hits[key].append(now)
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def reset(self, key: str) -> None:
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with self._lock:
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self._hits.pop(key, None)
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