The Quiet Economics of Stolen Compute
Article

The Quiet Economics of Stolen Compute

Four recent incidents show attackers are no longer just breaching systems; they are extracting recurring value from the infrastructure US companies and consumers already pay for.

BhavyaOctober 15, 20264 min read

Photo: Wired

The through-line in this week's cybersecurity news is not sophistication. It is monetization. Attackers are increasingly treating other people's infrastructure - servers, routers, and even the goodwill of open-source maintainers - as a revenue stream, and the AI industry is beginning to look like the next version of that same dynamic.

From Breach to Business Model

Compare the mechanics of four stories our desk has logged. BleepingComputer reports that attackers are exploiting a critical command execution flaw, tracked as CVE-2026-110447, in the Collabora Online built-in CODE Server app for Nextcloud to backdoor servers. Separately, BleepingComputer reports that a proxyjacking campaign has hijacked D-Link and Ubiquiti devices across 34 countries, monetizing victims' internet connections through a commercial residential proxy network. And BleepingComputer also reports that a threat actor uploaded malicious packages to the Arch User Repository impersonating the popular helper tools yay and paru, delivering malware with root privileges.

None of these are smash-and-grab operations. Each one converts a compromised machine into a durable asset: a persistent foothold in a document server, a resold exit node, a privileged installer running on a developer workstation. The victim keeps paying for the hardware, the bandwidth, and the electricity. The attacker collects the upside.

The Residential Proxy Economy

The D-Link and Ubiquiti campaign is the clearest illustration. Proxyjacking does not encrypt files or demand a ransom. It quietly sells access to a home or small-office connection, which is valuable precisely because it looks residential. That demand comes from a legitimate commercial market for residential proxy services, which security researchers have long noted can be repurposed by fraudsters and scrapers. The result is a two-sided arrangement in which the attacker is effectively an arbitrageur: buying nothing, selling bandwidth that belongs to someone else.

For US consumers, the harm is diffuse. A compromised router does not announce itself. The bill does not change. The device simply does its owner's bidding more slowly while also working for a stranger. This is a harder problem to mobilize against than ransomware because there is no dramatic moment of discovery, and therefore little pressure on manufacturers or ISPs to act.

Open Source as Attack Surface

The Arch User Repository campaign follows the same logic at the software layer. AUR is a community-maintained collection where users can publish packaging scripts. Impersonating yay and paru - tools that many Arch users install early and trust implicitly - is a bet on that trust. The packages deliver malware with root privileges, meaning the compromise is total from the first command.

The economics here are unusually favorable to the attacker. The cost of uploading a package is near zero. The pool of potential victims is self-selecting: people who already accept that they are installing software from strangers. And the cleanup burden falls on volunteers, not on a company with a security budget. The Arch example is small in absolute terms, but it is a template that scales to any package ecosystem where convenience is prioritized over provenance. US enterprises that permit developers to pull from community repositories inherit that risk without inheriting any of the accountability.

The AI Subsidy Problem

Wired's reporting adds a more uncomfortable dimension. Powerful AI models, according to Wired, continue to cause chaos, but their targets are not widely seeking justice. Instead, those targets are being encouraged to adopt the same tools. That framing matters. If the entities absorbing the damage from AI-enabled activity are also being told that their competitive future depends on deploying the same class of systems, then the cost of the disruption never gets internalized by the party that introduced it.

This is the same asymmetry visible in the other three stories, expressed in a newer domain. Proxyjacking victims pay for bandwidth they did not sell. AUR users pay with their machines. Nextcloud operators pay with remediation time. In each case, the beneficiary is distant from the cost. AI is not unique in producing this pattern, but it is the most efficient version of it yet, because the marginal cost of causing an incident is close to zero while the marginal cost of defending against one is not.

What US Companies Should Notice

The common thread has a practical implication for American technology firms: the assets being harvested are ones they already own and often already measure. Bandwidth usage, outbound connections, package installation logs, and server process trees are all observable. The D-Link and Ubiquiti campaign persisted across 34 countries, per BleepingComputer, which suggests detection is possible but not prioritized. The Collabora flaw, now tracked as CVE-2026-110447, affects a specific application inside a widely deployed collaboration platform - the kind of dependency that appears in enterprise procurement checklists only after an incident.

For US consumers, the exposure is concentrated in the unglamorous layer of the stack: home routers, self-hosted collaboration tools, and the open-source utilities installed on personal machines. These are not the systems that generate headlines, but they are the systems that generate revenue for someone else.

What to Watch

The near-term signal to watch is whether any of these campaigns produces a visible market response. Two questions are worth tracking. First, whether router and device makers move toward shipping configurations that make proxyjacking harder to sustain, or continue to treat it as a user problem. Second, whether the AI industry's unwillingness, as described by Wired, to bear the costs of the chaos its models enable becomes a subject of regulatory attention rather than an accepted externality.

There is also a quieter indicator. If community repositories like Arch's AUR and applications like Collabora's Nextcloud integration continue to be viable initial access vectors, it will confirm that the cheapest path into an organization remains its dependencies, not its perimeter. That has been true for years. What is new is how deliberately the returns are being harvested once access is achieved.

More on this beat: Cybersecurity on TechManNews.

#cybersecurity#proxyjacking#open-source security#AI risk#infrastructure#vulnerability management

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