Update ssh-login-alerting.md via n8n

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herbygitea 2026-04-21 14:00:22 +00:00
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@ -7,13 +7,13 @@ tags:
- pbs - pbs
- security - security
- ssh - ssh
- auditd - journald
- python
- n8n - n8n
- monitoring - monitoring
created: 2026-04-19 created: 2026-04-19
updated: 2026-04-19 updated: 2026-04-21
--- ---
# SSH Login Alerting # SSH Login Alerting
## Goal ## Goal
@ -25,24 +25,39 @@ key-based account.
## Architecture ## Architecture
```
SSH login → auditd captures event → trigger script parses it sshd → journald → Python sdjournal tailer → POST to n8n webhook
curl POST to n8n webhook → n8n formats + sends to Google Chat n8n formats + sends to Google Chat
```
## Design Decisions ## Design Decisions
- **auditd over log-parsing** — kernel-level event capture, more reliable - **journald over auditd** — v1 attempted `auditd → shell dispatcher →
than tailing `/var/log/auth.log`. regex → webhook` and was abandoned after silent event drops and two hours
- **Shell script as middleman** — dumb, single-purpose: parse auditd event, of failed debugging. Root cause: auditd emits multiple records per logical
POST to n8n webhook. No logic in the script beyond formatting. event with format variations that break line-by-line regex parsing.
- **n8n handles notification routing** — keeps all alert Journald is one-line-per-event with structured metadata
formatting/delivery centralized where other PBS notifications already live. (`_SYSTEMD_UNIT=ssh.service`), which eliminates the multi-record coalescing
Server just fires events; n8n decides what to do with them. problem entirely.
- **Alert on every login for v1** — simpler than trying to define - **Python sdjournal tailer, not pam_exec** — pam_exec would give fully
"unexpected" up front. Tune later if noise becomes a problem. structured data with zero regex via PAM env vars (`PAM_USER`, `PAM_RHOST`,
- **Scope: all accounts, all PBS servers** — staging and production, every etc.), but touches the SSH auth path. Explicit tradeoff: accept one
user (`pbsdeploy`, admin, root, etc.). remaining regex pattern in exchange for zero risk to login infrastructure.
If the tailer crashes, SSH keeps working.
- **Cursor persistence solves the silent-drop problem**
`systemd.journal.Reader.seek_cursor()` with cursor saved to disk after each
successful webhook POST gives exactly-once delivery across restarts,
crashes, and n8n outages. This was the actual failure mode of v1.
- **Regex is contained and testable** — one pattern against sshd's
`MESSAGE` field (stable across OpenSSH versions for ~10 years), in one
Python function, with unit tests against fixture strings. When it breaks,
fix is one line in one place.
- **n8n handles notification routing** — unchanged from v1. Server fires
events; n8n formats and delivers.
- **Alert on every login for v1** — unchanged. Tune later if noise becomes
a problem.
- **Scope: all accounts, all PBS servers** — unchanged. Staging and
production, every user.
## Why This Matters ## Why This Matters
@ -54,26 +69,42 @@ main threat vector.
## Next Steps ## Next Steps
- [ ] Configure auditd rules on staging server to capture SSH login events - [ ] Decide deployment model: host systemd service vs containerized
- [ ] Write shell script that parses auditd events and POSTs to n8n webhook (leaning host systemd — simpler, more reliable for journal access)
- [ ] Write Python tailer using `systemd.journal.Reader` with
`add_match(_SYSTEMD_UNIT="ssh.service")`, cursor persistence, and HTTP POST
to n8n
- [ ] Unit test the MESSAGE regex against fixture strings (accepted
publickey, accepted password, failed attempts, invalid user)
- [ ] Deploy to staging, test cursor behavior across restarts
- [ ] Build n8n workflow: webhook trigger → format message → send to Google - [ ] Build n8n workflow: webhook trigger → format message → send to Google
Chat Chat
- [ ] Test end-to-end on staging (SSH in, confirm alert arrives) - [ ] End-to-end test on staging (SSH in, kill tailer, SSH in again,
- [ ] Roll out to production restart tailer, confirm replay)
- [ ] Decide on Chat space (webadmin? dedicated security space?) - [ ] Add Uptime Kuma monitor for the tailer service
- [ ] Roll out to production via Ansible
- [ ] Decommission v1 auditd dispatcher
## Open Questions ## Open Questions
- Which Google Chat space should alerts go to? - Host systemd service or containerized? Leaning host service — touches
- Do we want any metadata in the alert beyond username + source IP + host-level journal, simpler bind-mount story. Breaks Compose aesthetic but
timestamp (e.g., geolocation lookup on source IP)? fits the job.
- Do we want a separate "critical" alert path for root logins? - Where does cursor state live? (Path, ownership, permissions — probably
`/var/lib/ssh-login-alerter/cursor`.)
- Which Google Chat space — `webadmin` or a dedicated security space?
- Metadata beyond username + source IP + timestamp (e.g., geolocation on
source IP)?
- Separate "critical" alert path for root logins?
- How does Uptime Kuma know the tailer is alive? Heartbeat ping from the
tailer itself, or process check?
## Priority ## Priority
Higher priority than env file hardening — it's a force multiplier. Even if Still higher priority than env file hardening. v1's silent drops mean we
the env hardening isn't done yet, knowing about an unauthorized login currently have *no* working alert on the `pbsdeploy` account — the
immediately limits blast radius. force-multiplier argument is sharper now than it was at project inception.
...sent from Jenny & Travis
...sent from Jenny & Travis ...sent from Jenny & Travis