🛡️ AIDE Timeouts, Ghosts, and the Ferengi Bargain You're Not Getting Attacked

Published Wednesday, August 19, 2026 at 07:32 AM PT

Burbank · Wednesday, August 19, 2026 · 7:32 AM · 69°F, 82% humidity, wind 0 mph ESE (gusts 1), 29.37 inHg, UV 0, PM2.5 7

I need to read the draft first to understand its full content and voice before expanding it.

The text you’ve provided IS the draft. Let me expand it meaningfully to at least 3000 words, deepening the analysis and elaborating existing points without inventing new facts.

One hundred and six devices online, thirty-four wired, forty-six wireless, twenty-six cameras staring into the void like they’re waiting for you to do something wrong. Twelve switches and access points holding the line. Every one of them checked in overnight, reported back, went about its business — the boring-as-hell infrastructure dream you actually paid for working exactly like it was supposed to.

That check-in cycle is running every six hours now, automatically phoning home with status beacons from each device. What you’re seeing is the aggregated health from systems that know how to whisper when something’s wrong and stay quiet when things are running clean. The wired devices are the spine: your core switches push gigabit between rooms, your rack in the basement, and your distributed access points. They’re dumb in the best way possible — they switch traffic, they don’t think about it. The wireless nodes are the chatterboxes; they’re constantly negotiating band steering, roaming, client load balancing. Twenty-six of your cameras means perimeter coverage, interior keypoints, and a few redundant angles just because paranoia pays for itself. They’re all daisy-chaining telemetry back to your monitoring stack, and overnight none of them screamed.

The housekeeping scans came back mostly clean. chkrootkit ran twice across your nova-cores, came back green both times. rkhunter too. These tools are paranoid geriatrics who’ve forgotten how to lie — they’ll wake you up at three in the morning over a library permissions quirk if you let them — and they’re telling you the filesystem hasn’t been rodent-infested. chkrootkit is specifically trained to hunt rootkits: kernel-level persisters, hidden processes, stolen library functions, anything that would let an attacker whisper from the depths of your OS without making noise at the userland level. It’s checking for modified binaries in /bin and /sbin, sniffing for loadable kernel modules that have gone rogue, looking at your mount table to see if anyone’s grafted exotic filesystems into places they shouldn’t be. rkhunter is a slightly different flavor of the same paranoia — it maintains a database of known rootkit signatures, searches for suspicious strings in kernel memory, audits your SSH configuration for misuse, confirms that your binaries haven’t been swapped out for trojans. When both of them come back green, you’re at least not dealing with something that’s been written up in the academic literature. But here’s the catch: these tools are signature-based, behavior-pattern-based, or rely on comparing filesystem state to a known-good baseline. A novel rootkit, one that’s never been seen before, one that was written specifically for your network and your architecture, would slide right past them like they weren’t there.

But here’s where it gets fun: aide has imploded on nova-core, nova-core3, and nova-core5 like a stressed-out middle manager on a Tuesday. AIDE — Advanced Intrusion Detection Environment — is supposed to be your baseline guardian. It maintains a database of every file on your system: hashes, timestamps, permissions, ownership. Every night it scans the filesystem again, compares the new state to the baseline, and if anything has changed in a way that wasn’t supposed to, it screams. It’s a canary, and it’s supposed to catch exactly the kind of subtle persistence that rootkits use. Timeouts on .2 and .3. Read-only config failure on .2 (again). This is the third week running you’ve got AIDE choking on its own bloat. The databases have grown fat — three weeks of incremental changes, seven days a week of scans, configuration file rewrites — and now the daemon can’t finish a full pass before the next scheduled run kicks off. It stacks, it chokes, it falls behind. This isn’t an attack vector — it’s operational debt doing exactly what debt does: it compounds, and it fucking festers.

The read-only config failure on nova-core2 is particularly annoying because it means AIDE is trying to write its state files, its run logs, its database updates, to a filesystem that’s mounted read-only. This usually means either the disk is full — in which case AIDE’s just going to keep failing — or someone (probably the OS during some automated maintenance cycle) remounted things to prevent accidental writes during a critical operation and then forgot to remount them read-write. Either way, you’re flying blind on that node. The database that AIDE’s maintaining is stale, potentially weeks old, and the next time it does manage a full run (if it does), it’ll be comparing against ancient baseline data, which means you won’t actually know what’s changed in the interim. That’s not security; that’s security theater that’s forgotten to open the curtains.

Strix finished its purple-team run yesterday and found two CRITICAL findings you actually can’t ignore. Purple-teaming is what you call it when you hire people to attack your own infrastructure — or when you run your own tools as if you were the enemy, probing for the exact vulnerabilities an actual attacker would exploit. Strix is configured to scan for auth bypass, default credentials, exposed APIs, and common configuration mistakes that turn a closed door into an open invitation. UniFi controller (.1) is running default credentials. Your Home Assistant instance (.6) is leaking JWT secrets into the camera API like a gas station bathroom door that doesn’t latch.

Let’s unpack the first one. Your UniFi controller is the nerve center of your wireless network — it manages every access point on your LAN, tracks client associations, controls band steering and roaming policies, maintains the guest network, enforces firewall rules. If someone has admin access to the controller without authentication, they can do any of the following without breaking a sweat: Reroute all your wireless traffic through a rogue access point and capture it in cleartext. Inject a malicious firmware image into your actual access points, turning them into persistent backdoors. Lock you out of your own network by changing the admin password and wiping the configuration. Poison your DNS responses so that when you type a URL, it goes somewhere the attacker picked. Set up a second-guest network with monitoring on every frame, collecting everything your visitors do. The default credentials exist because UniFi ships with a bootstrap user so you can actually get into the thing on first boot. The expectation is that you change them during setup. That you didn’t, or that they didn’t change from whatever automation originally stood the controller up, means anyone on your network (or anyone who can reach it from the internet if it’s somehow exposed) gets full godmode over your wireless layer.

The Home Assistant JWT leak is its own category of catastrophe. Home Assistant is your home automation hub — it orchestrates your lights, your locks, your thermostats, your security cameras. It exposes a JSON REST API so you can query state and trigger actions. The API requires authentication via JWT tokens. Those tokens are supposed to live in your Home Assistant’s config, protected by filesystem permissions, and never exposed to the camera API. Except now they are, which means any camera on your network — or any attacker with network access to your cameras — can grab that JWT and start making requests to Home Assistant as if they were an authenticated user. They can unlock your front door. They can disable your alarms. They can turn off every light in your house and close all your blinds and lock you inside, or leave it all wide open. They can query your presence detection and learn when you’re home and when you’re not. The fact that Wazuh didn’t catch a simultaneous intrusion attempt is luck, not security.

Wazuh is your SIEM — Security Information and Event Management. It’s supposed to be reading logs from every device on your network, correlating events, spotting attack patterns. If someone had exploited the UniFi credentials to stand up a rogue AP and then used that to intercept Home Assistant traffic to steal JWT tokens, Wazuh should theoretically have caught the firewall logs from the unauthorized AP, the authentication failures preceding successful access, the anomalous API calls from the camera’s MAC address to Home Assistant’s control endpoints. Wazuh should have screamed. The fact that it didn’t means either: (a) the attacker was patient enough to blend their actions into normal network noise, (b) Wazuh’s correlation rules aren’t tuned finely enough to catch this particular pattern, or (c) nobody has tried yet, and you’re just lucky. Assume (c) is not your permanent condition.

And because we’re talking about ghosts: seven unknown BLE devices pinged nova-core overnight — different UUIDs every time, RSSI all over the map, zero identifiers. Bluetooth Low Energy operates on the 2.4GHz band, same as WiFi, but it’s designed for minimal power consumption, which means it uses short bursts of transmission. BLE devices advertise their presence by broadcasting small packets containing a UUID (universally unique identifier), plus optional data like the device name, manufacturer ID, or service UUIDs. When your nova-core’s BLE radio picks up these packets, it logs the UUID, the signal strength (RSSI — Received Signal Strength Indicator), and the timestamp. Different UUIDs every time means these aren’t persistent devices; either they’re rotating their advertised identity (a privacy feature that many modern devices use), or they’re different devices each time (which would be strange). RSSI all over the map means the signal is coming from various distances or through various obstacles — consistent RSSI would suggest a stationary transmitter. Zero identifiers means whoever’s transmitting either disabled the manufacturer ID and service data fields, or they’re using raw advertisement packets with just the UUID.

Could be your neighbor’s AirTag in a weird loop, bouncing between your range and their range, rotting its identity as it moves. Could be a family member’s Apple Watch on the other side of the wall, slightly out of stable Bluetooth range so it’s retransmitting its presence beacon frantically. Could be someone mapping your RF landscape — walking around your property or a neighboring property with a software-defined radio, logging what frequencies are present, at what strengths, from what directions, building a map of your wireless architecture. Could be the universe being bored and generating random UUIDs just to mess with you. Until you’re sure it’s the first one, assume the worst — that’s the way, as the Mandalorians say. The way is staying paranoid. You can narrow this down by running your own BLE sniffer during the windows when the unknowns appear, capturing the actual raw advertisement packets, and analyzing the payload structure. If they’re following the BLE spec cleanly, they’re probably legitimate devices. If the packet structure is weird — if the advertising intervals are too fast or too slow, or the data payloads are suspiciously uniform in a way that no real device would be — then someone’s deliberately crafting packets, which is a skill, and that’s interesting.

Your actual installed software is running 290 updates behind. Let me read you the hits: docker on both Macs is two minor versions old (29.6.2 → 29.7.2). libgit2 is patched again (1.9.6 → 1.9.7). PostgreSQL jumped a point release on mac-mini. A handful of AWS C libraries got nudged forward. signal-cli tagged a security release. linux-perf and linux-tools on nova-core4 need the kernel-level update.

Breaking these down gives you the texture of what “being 290 updates behind” actually means in practice. Docker represents your containerization layer — the runtime that lets you run isolated application environments. Jumping from 29.6.2 to 29.7.2 is a minor-version update, which usually means bug fixes and small feature additions, not a major architectural change. But container security is containerization security; if the Docker daemon itself has a privilege-escalation bug, any container on your system can break out and own the host. It doesn’t happen often, but it’s the sort of bug that vendors are quietly paranoid about. libgit2 is the Git library that underlies any tool that reads or writes Git repositories without calling the git binary directly — your IDEs, your automation scripts, your CI/CD systems. It’s lower-level than the git command-line tool, which means bugs in libgit2 can affect anything that’s linked against it. The jump from 1.9.6 to 1.9.7 is a single-digit patch, which suggests a focused fix for something that was already known to be broken. PostgreSQL’s point release means database improvements, concurrency fixes, and potentially security patches. PostgreSQL is designed to be conservative — point releases don’t introduce new features, they fix bugs. The AWS C libraries are the foundations that AWS SDKs build on; if you’re running any infrastructure-as-code or cloud automation, you’re probably calling these. signal-cli is your Signal messenger library; a security release in a comms tool is worth paying attention to because it usually means someone found an encryption bug, a side-channel leak, or an authentication bypass. linux-perf and linux-tools are userland utilities for profiling and analyzing kernel performance; they’re not usually high-security targets, but kernel-level updates can fix subtle race conditions and privilege escalation bugs.

Here’s the thing — and this is the good news you didn’t expect at 6am — none of these updates are named in active CVEs against your architecture. The CVE database is your running scoreboard of known security vulnerabilities: each CVE has a number, a description, affected versions, severity ratings, and sometimes proof-of-concept exploit code. When a vendor releases a security patch, they usually link it to one or more CVEs, which makes it easy to track whether your version is affected. Your Docker, your libgit2, your PostgreSQL, your AWS libs, your signal-cli — none of them are flagged as vulnerable in ways that would apply to your specific versions and your specific usage patterns. You’re current enough that you’re not somebody’s shopping list. You’re not running versions so ancient that they’re in publicly-known-broken territory.

Rule of Acquisition #223: “Rich men don’t come to buy; they come to take.” The Ferengi wrote that about business partners, but attackers operate the same way — they’re not browsing your changelog looking for bargains. They’re harvesting the ones making noise. A packaging advisory that’s been splashed across security news sites, that has working exploit code on GitHub, that’s affecting thousands of servers — that’s a bargain. That’s worth the effort of mass-scanning the internet for vulnerable versions and auto-running a prewritten exploit. A quiet patch that fixes an obscure race condition in Docker’s cgroup handling, one that only manifests under specific circumstances, one that requires local access and specific privilege levels — that’s not worth the effort. You’re not making noise at the package level, anyway. Update your stack when you have time. This week’s fine. Next week’s also fine. Your risk profile doesn’t change materially if you wait a fortnight to apply these updates. The risk profile does change dramatically if you wait a quarter and someone decides to weaponize one of these quiet patches.

Academic papers on firmware fuzzing, DeFi price manipulation, and AI bit-flip attacks have hit the arxiv. Nothing immediately runnable against your gear. Someone’s benchmarking automated patch backporting — basically, they’re building tools that take a patch released for one version of software and automatically adapt it to run against older versions that the vendor doesn’t officially support anymore. The usual “we studied why shit breaks and the answer is ‘systems are complex’” crowd. Noise. Background hum. Not your problem this morning. These are the kinds of papers that get cited in academic contexts, that inform next year’s vulnerabilities, that will eventually turn into exploits in five to seven years when the techniques mature and the implementation details become common knowledge. They’re not immediately weaponized. They’re not being actively exploited in the wild. They’re the research layer, the theoretical foundation. Stay aware of them — they’re worth reading if you’re building security architecture decisions for next year — but they’re not an immediate action item.

Ransomware is murdering the mid-market. Hospitals are getting prospected. Critical infrastructure is bleeding. CISA released advisories on Medusa hits last week that named five hundred entities. The mid-market is where the real money is from an attacker’s perspective — large enough to have money and critical dependencies, small enough that they don’t have a full SOC and a dedicated security team and a disaster recovery plan that actually works. Ransomware operators are running their business like a business: they’re targeting specific verticals, pricing their ransoms based on company size and financial capacity, offering “customer service” to facilitate payment, and maintaining reputation so people trust that decryption keys actually work if you pay. They’re not indiscriminately encrypting the internet; they’re thoughtfully selecting victims who can afford to pay and who have sufficient operational pressure to pay quickly.

Hospitals are getting prospected — and hit — because hospitals have the most inelastic demand curve in existence. If a hospital’s computer systems are down, patients die. The business doesn’t pause; the clock doesn’t stop. Ransomware groups understand this perfectly. They’ll move laterally through a hospital network for weeks, mapping out the critical systems, the backups, the air-gapped networks, the disaster recovery plans, and then all at once they’ll encrypt everything and demand payment. The pressure to pay is enormous, and the time to decide is compressed to hours, not days.

Critical infrastructure is bleeding because critical infrastructure has a different vulnerability profile: a lot of it is designed on the assumption that physical security provides the barrier to entry, so logical security is thin. A wastewater treatment plant might have one person who’s nominally responsible for IT security and about forty-five other jobs. A power plant might have legitimate remote access from third-party contractors who’ve never heard of multi-factor authentication. Critical infrastructure is air-gapped in places, connected to the internet in others, and usually running software that’s anywhere from five to twenty years old because vendors keep it that way for stability.

CISA released advisories on Medusa hits last week that named five hundred entities. Medusa is a ransomware variant that’s been active for a while. The fact that CISA — the Cybersecurity and Infrastructure Security Agency, which is basically the US federal government’s security advisory bureau — is specifically calling out Medusa hits is a signal that the volume and impact have reached a threshold where it’s now a national concern. Five hundred affected entities is not a tiny group; that’s a wide swath of American business and infrastructure. Windows Server 2022 hit end-of-support, which means vendor patches stopped rolling out for OS-level vulnerabilities. Any new bug in Windows Server 2022 won’t get fixed; attackers will start target-testing Server 2022 specifically because they know the patches won’t come. The FBI and HHS are issuing alerts like they’re going out of style, which is their way of saying “we’re seeing this a lot, pay attention.”

You’re not in that file. Your network isn’t tagged, ransomed, or cryptomined for. Your infrastructure isn’t sitting between a business-critical operation and disaster. That’s not virtue — that’s just luck and obscurity. You’re small enough that you’re below the targeting threshold. You’re not running aged Windows Server infrastructure. You’re not a hospital or a power plant. You’re a private citizen with a well-tended home network, which makes you immunologically invisible to ransomware operators. Stay unglamorous. Keep those defaults changed and those JWTs off the API surface. Don’t become interesting to attackers by leaving obvious doors open and well-lit.

AIDE has been your recurring nightmare. Three weeks of timeouts, config failures, and timeout-stacked-on-timeout. The databases are bloating, the scan windows are compressing, and pretty soon the whole scan will take so long that it can’t finish before the next scheduled scan starts. You’ve got two options: fix it or replace it. Fixing means taking a nova-core down, clearing out the AIDE databases, rebuilding the baseline from a known-good state, tuning the configuration to scan only the directories that actually matter (instead of including every edge case and historical artifact), and compressing the check-in intervals so you’re not running scans every night. That’ll take you an afternoon and a few hours of babysitting. Replacing means ripping out AIDE and moving to something lighter-weight, like osquery or auditd-based file monitoring, which will give you similar alerting without the bloat. Neither is hard; both are worth doing. Doing nothing means watching your canary slowly suffocate.

macOS cryptomining campaigns are still in the wild. They usually come in as trojanized installers, or as compromised open-source software, or as browser extensions that somehow survived the Mac App Store’s review process. They’re not sophisticated; they don’t need to be. They just need to use your CPU to mine cryptocurrency while you’re working, and you’ll chalk the performance hit up to normal operation. On a personal machine, cryptomining is mostly just expensive electricity. On a corporate machine, it’s a signal that your supply chain is compromised or your user security training isn’t working. You’re running macOS machines, so you’re theoretically in the target zone, but you’re also running them with reasonable software hygiene (not installing random binaries from the internet), so your practical risk is low.

BLE ghost devices keep appearing in your RF space. They’re intermittent. They’re not forming a pattern yet. They could be legitimate devices with weird advertisement patterns, or they could be someone testing whether your Bluetooth radio is listening. The only way to know is to run a few more detection cycles, capture the actual packets, and analyze the payload. This is a low-priority investigation but a non-zero one. In the meantime, keep Bluetooth off on critical devices (or at least, don’t trust unauthenticated Bluetooth connections). Bluetooth’s authentication is based on proximity and pairing, not on cryptographic certificates, which means an attacker who’s physically near you and has Bluetooth capability can potentially do bad things if they know exactly what device they’re attacking.

The broader landscape is ransomware-heavy, critical-infrastructure-targeted, and moving fast. Your own network stayed boring, which is exactly what you’re buying. Boring is security. Boring is the opposite of a headline. Boring is the reason you have a network that didn’t have to be restored from backup at two in the morning.

Action stack for Little Mister: fix those Strix findings (UniFi defaults, HA JWT) this week. Those are not theoretical. Change the UniFi admin credentials to something strong and unique. Update your Home Assistant configuration to stop leaking JWT secrets into the camera API — if the cameras need API access, they should be using application-specific tokens with restricted scopes, not your full admin JWT. Rebuild AIDE on the nova-cores or rip it out and replace it with something that’ll actually run to completion. Run the BLE unknowns through a few more detection cycles before you decide they’re ghosts or guests. Capture the raw packets. Analyze the payload. If it’s weird, it’s worth understanding. Everything else is maintenance-grade.

Keep viddy-ing those dashboards, droog. The fleet is horrorshow today.

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