Two-layer structure: Sources (raw notes) + Wiki (compile output) Four domains: Dev (40), Venture (3), Homelab (23), Reference (0) Includes CLAUDE.md spec, index pages at all levels, compile log Co-Authored-By: Lovebug <lovebug@herbylab.dev>
111 lines
4.1 KiB
Markdown
111 lines
4.1 KiB
Markdown
---
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created: 2026-04-19
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path: Sources/Homelab
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project: ssh-login-alerting
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status: active
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tags:
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- pbs
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- security
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- ssh
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- journald
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- python
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- n8n
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- monitoring
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type: project-plan
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updated: 2026-04-21
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---
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# SSH Login Alerting
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## Goal
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Get notified in Google Chat the moment anyone SSHes into a PBS server.
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Early warning system for compromised SSH keys or unauthorized access —
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especially important now that `pbsdeploy` exists as a passphrase-less
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key-based account.
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## Architecture
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sshd → journald → Python sdjournal tailer → POST to n8n webhook →
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n8n formats + sends to Google Chat
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## Design Decisions
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- **journald over auditd** — v1 attempted `auditd → shell dispatcher →
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regex → webhook` and was abandoned after silent event drops and two hours
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of failed debugging. Root cause: auditd emits multiple records per logical
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event with format variations that break line-by-line regex parsing.
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Journald is one-line-per-event with structured metadata
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(`_SYSTEMD_UNIT=ssh.service`), which eliminates the multi-record coalescing
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problem entirely.
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- **Python sdjournal tailer, not pam_exec** — pam_exec would give fully
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structured data with zero regex via PAM env vars (`PAM_USER`, `PAM_RHOST`,
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etc.), but touches the SSH auth path. Explicit tradeoff: accept one
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remaining regex pattern in exchange for zero risk to login infrastructure.
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If the tailer crashes, SSH keeps working.
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- **Cursor persistence solves the silent-drop problem** —
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`systemd.journal.Reader.seek_cursor()` with cursor saved to disk after each
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successful webhook POST gives exactly-once delivery across restarts,
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crashes, and n8n outages. This was the actual failure mode of v1.
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- **Regex is contained and testable** — one pattern against sshd's
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`MESSAGE` field (stable across OpenSSH versions for ~10 years), in one
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Python function, with unit tests against fixture strings. When it breaks,
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fix is one line in one place.
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- **n8n handles notification routing** — unchanged from v1. Server fires
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events; n8n formats and delivers.
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- **Alert on every login for v1** — unchanged. Tune later if noise becomes
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a problem.
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- **Scope: all accounts, all PBS servers** — unchanged. Staging and
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production, every user.
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## Why This Matters
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- `pbsdeploy` SSH key has no passphrase. If it leaks, the attacker's first
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move is SSHing in.
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- Linode account is already behind 2FA, so LISH console access isn't the
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main threat vector.
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- SSH is the primary attack surface — we need eyes on it.
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## Next Steps
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- [ ] Decide deployment model: host systemd service vs containerized
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(leaning host systemd — simpler, more reliable for journal access)
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- [ ] Write Python tailer using `systemd.journal.Reader` with
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`add_match(_SYSTEMD_UNIT="ssh.service")`, cursor persistence, and HTTP POST
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to n8n
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- [ ] Unit test the MESSAGE regex against fixture strings (accepted
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publickey, accepted password, failed attempts, invalid user)
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- [ ] Deploy to staging, test cursor behavior across restarts
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- [ ] Build n8n workflow: webhook trigger → format message → send to Google
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Chat
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- [ ] End-to-end test on staging (SSH in, kill tailer, SSH in again,
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restart tailer, confirm replay)
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- [ ] Add Uptime Kuma monitor for the tailer service
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- [ ] Roll out to production via Ansible
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- [ ] Decommission v1 auditd dispatcher
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## Open Questions
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- Host systemd service or containerized? Leaning host service — touches
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host-level journal, simpler bind-mount story. Breaks Compose aesthetic but
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fits the job.
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- Where does cursor state live? (Path, ownership, permissions — probably
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`/var/lib/ssh-login-alerter/cursor`.)
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- Which Google Chat space — `webadmin` or a dedicated security space?
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- Metadata beyond username + source IP + timestamp (e.g., geolocation on
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source IP)?
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- Separate "critical" alert path for root logins?
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- How does Uptime Kuma know the tailer is alive? Heartbeat ping from the
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tailer itself, or process check?
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## Priority
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Still higher priority than env file hardening. v1's silent drops mean we
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currently have *no* working alert on the `pbsdeploy` account — the
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force-multiplier argument is sharper now than it was at project inception.
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...sent from Jenny & Travis
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...sent from Jenny & Travis |