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16,000 Databases Were Leaking and Not One Was Hacked — I Re-Ran Our Dubai Backend Interview and Cut 3 Questions

Developer reviewing database access rules on a screen in a darkened Dubai office, representing backend authorisation screening in UAE hiring
Panos Petropoulos

Panos Petropoulos

Web Development Expert · September 26, 2026 · 9 min read

TL;DR

  • •What happened: on 25 September 2026 TechCrunch reported UpGuard research finding roughly 16,000 Supabase-hosted databases exposing personal data to the open web. No hack, no stolen credential.
  • •The actual gap: authentication worked. Authorisation was never written. Those are different skills and most interviews only test the first one.
  • •What we changed: cut 3 definition questions from our Dubai backend loop and replaced them with an 8-minute policy-reading exercise. Results were uncomfortable.
  • •The hiring consequence: if your product started as a prototype, treat an access-policy audit as a first-month deliverable in the job description, not a hope.

Yesterday afternoon Dubai time, TechCrunch published a story by Zack Whittaker under the headline “Some Supabase customers are publicly exposing reams of people’s data to the web.” The number in it is large enough to be quoted everywhere this week: security firm UpGuard found roughly 16,000 databases hosted on Supabase that were exposing some degree of personal information to anyone who asked for it. What makes it worth an employer’s attention is not the number. It is that nothing was broken into.

What Actually Happened, Precisely

Supabase is a hosted Postgres platform with a client library that talks to the database directly from the browser. That design is deliberate and it is not the flaw. The public client key is meant to ship inside the JavaScript bundle that every visitor downloads, and the thing standing between that key and your tables is row level security: per-table rules that decide which rows a given request may see.

When those rules are absent or written permissively, the arrangement inverts. The public key still works exactly as designed, and every table behind it becomes, in effect, a public read endpoint. UpGuard’s researchers found that outcome at scale, across projects holding names, addresses, phone numbers, passwords and authentication tokens. The examples reported range from private conversations on streaming platforms to licence plates collected by valet services, immigration service contact records and consulate databases.

Supabase, whose CISO Bil Harmer told TechCrunch that projects are “secure by default” and that “security at Supabase is never finished. We care deeply about getting it right,” frames this as a shared responsibility between the platform and the customer. On the technical merits that framing is defensible. The platform gives you the mechanism; somebody has to write the policy. The uncomfortable question for anyone who hires engineers is who that somebody is, and whether your interview has ever checked that they can.

Our Expert Take #1

Every security incident we get asked about in Dubai arrives framed as a defence problem — what tool should we buy, who should audit us. This one has no defence answer. There is no attacker to block, no anomaly to detect, no perimeter to harden, because from the platform’s point of view every one of those 16,000 databases was serving legitimate requests correctly. The only control that would have prevented it is an engineer who thinks in terms of who may see which row before they think about shipping. That is a hiring characteristic, not a procurement one, and it is the reason we treat this story as a recruitment story.

The Two Skills Everyone Calls One Skill

In nearly every backend job description we review for UAE employers, security appears once, as a bullet, and it means authentication: login, sessions, tokens, password hashing, perhaps multi-factor. Authentication answers who are you. It is well-documented, heavily tooled, and largely solved by libraries that a competent developer can wire up correctly on the first attempt.

Authorisation answers a different and much harder question: given that I know who you are, what are you allowed to touch. It is specific to your data model, it cannot be delegated to a library, it has no green checkmark when it is right, and — critically — an application with zero authorisation logic looks completely normal to the user who is logged in. Every screen works. Every request returns data. The failure is invisible from the inside, which is precisely why 16,000 teams shipped it.

Two Different Skills, One Job Description BulletAUTHENTICATION — “who are you?”Solved by libraries and platform defaultsFails LOUDLY — nobody can log inTested in most interviews we reviewWas working in all 16,000 casesThis is not where the data went outAUTHORISATION — “what may you touch?”Specific to YOUR data model — no libraryFails SILENTLY — every screen still worksRarely tested, easy to fake in an interviewThis is the entire storyAbsent policy = table is a public endpointThe request path — and the step that was missingBrowserany visitorPublic client keyships in the bundle by designRow level policyabsent or permissiveYour tablesnames, tokens, passwords→→→Remove the third box and nothing breaks, nothing alerts, and every table answers the public internet.Source: UpGuard research as reported by TechCrunch, 25 September 2026. Diagram: HireDeveloper.ae.

This asymmetry is why the skill is systematically under-screened. A candidate who has never written an authorisation rule in their life can describe token flows fluently, because token flows are what the tutorials cover. Ask them who may read row 4 of a shared table and you often get a restatement of the login process. We have been running that question for a while now; it still surprises us how reliably it splits a shortlist.

Why This Lands Harder on Dubai Product Teams

There is a shape of company that is very common here and unusually exposed to this specific failure. A founder or a small agency builds the first version fast, frequently with generated scaffolding, to get in front of a customer or an investor. It works. It gets traction. Six months later the company raises, hires its first two or three engineers, and those engineers inherit a codebase whose access rules were set by whatever made the demo run.

Nobody in that sequence is negligent. Permissive policies are what make a prototype work on the first attempt, and tightening them is a separate, invisible, unrewarded task. The problem is that the inheritance is silent: the new team sees an application that functions, so the audit never gets scheduled. We have walked into exactly this situation more than once while scoping a backend search, and in the cases where we asked, the founders did not know the question existed.

Our Expert Take #2

The regulatory arithmetic in the UAE makes the invisible part expensive. Federal Decree-Law No. 45 of 2021 sets personal-data obligations at federal level, and DIFC and ADGM each run their own data protection law and commissioner on top — so one misconfigured table can put a company in front of more than one authority. But the cost that actually hurts is evidentiary: a permissive access policy usually leaves no log signature at all. When you are eventually asked what was exposed and for how long, “we cannot reconstruct it” is a far worse answer than a number. That is a reason to buy the skill at hiring time rather than rent an audit afterwards.

The 3 Questions We Cut, and What Replaced Them

Our Dubai backend loop had three security questions that we have now removed, because after yesterday we could not defend any of them as evidence of anything.

  1. “How do you store passwords securely?” — every candidate says bcrypt or argon2. It measures whether they have read the same article as everyone else.
  2. “Explain JWT versus session cookies.” — a genuine topic, and entirely authentication. It would have been answered perfectly by engineers on all 16,000 of those projects.
  3. “What is the OWASP Top 10?” — a recall question about a list. Broken access control has sat at the top of that list for years, which makes the answer even less predictive: candidates can name it without being able to spot it.

What replaced them is one exercise that takes eight minutes. We hand the candidate two tables — an organisations table and a documents table with a tenant column — and a single access policy that checks the requester is authenticated but never checks which tenant they belong to. Then we ask one question: who can read what?

The spread was wider than we expected. Strong candidates read the policy, find the missing tenant comparison in under a minute, and then do the thing we actually care about: they ask what else in the schema shares that pattern. A second group spots that something is off but cannot articulate the consequence. A third group tells us the policy looks correct because authentication is enforced — and several of those had answered all three of the questions we cut without a flaw. That gap between the two sets of answers is the whole argument for the change.

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What This Changes in the Job Description

Screening is half of it. The other half is that an access-policy audit has to be somebody’s named job, with a date on it, or it will not happen. We now write it into the first-month expectations for any backend hire joining a product that began as a prototype: enumerate every table, state for each one who may read and write it, and flag the ones where the answer is “anyone authenticated”. It is a week of unglamorous work and it is the cheapest week that company will ever buy.

The same reasoning is why we no longer treat this as a specialist security requirement. It belongs in the standard backend brief, in the way that writing tests does. Teams that do want a dedicated specialist on top of that should read our note on hiring application security engineers in Singapore, which covers the same distinction from the specialist side, and the Singapore team’s write-up of the auth-bypass CVE in AI application stacks from earlier this year, which is the closest precedent we have written about.

One Swap in the Backend LoopCUT — 3 questions, 0 signal1. “How do you store passwords?”Everyone answers bcrypt or argon22. “JWT vs session cookies?”Real topic — but purely authentication3. “What is the OWASP Top 10?”Recall of a list, not detectionCommon propertyAll three would be answered perfectly byengineers on every one of the 16,000exposed projects.ADDED — 1 exercise, 8 minutesTwo tables. One permissive policy.Checks authenticated — never checks tenant.One question: who can read what?Tier 1 — finds it, then asks what else shares itTier 2 — senses a problem, cannot name the impactTier 3 — “looks fine, auth is enforced”Several Tier 3 candidates aced all three cut questions.Our Dubai backend loop, revised 26 September 2026. Tiers are what we observe, not a scoring rubric.

Our Expert Take #3

The prediction we are willing to be held to: this category of exposure gets worse before it gets better, and the reason is that generated code is now the default starting point rather than the exception. Generation optimises for something that runs, and a permissive access rule is the shortest path to something that runs. So the scarce skill stops being writing the backend and becomes reading someone else’s backend and finding what is too permissive. If you are planning a Dubai engineering hire for the next two quarters, that is the competence we would weight up, ahead of another framework on the requirements list.

FAQ — What Employers Are Asking Us About This

Was the Supabase incident a hack?

No, and that is the whole point of it. TechCrunch reported on 25 September 2026 that security firm UpGuard found roughly 16,000 databases hosted on Supabase exposing some degree of personal information to the public web. Nobody broke authentication and nobody stole a credential. The data was reachable because the applications in front of those databases were configured to allow it. Supabase ships a public client key on purpose — it is designed to sit in the JavaScript bundle that every visitor downloads — and the protection that is supposed to stand behind it is row level security. Where row level security was never switched on or was written permissively, the tables behind that public key behave like a public API. Calling it a breach misdirects the fix: no firewall, no WAF and no penetration test finds this, because from the platform side nothing anomalous happened.

What should I actually ask a backend candidate to test this?

Stop asking candidates to define concepts and give them a small schema with a deliberately permissive policy attached, then ask them to tell you who can read what. We use a two-table example — an organisations table and a documents table with a tenant column — and a policy that checks that the requesting user is authenticated but never checks which tenant they belong to. A strong candidate reads it and says any logged-in user can read every tenant document. A weak candidate says the policy looks fine because authentication is enforced. That single exercise takes eight minutes and it separates people who reason about authorisation from people who have only ever implemented login. It is also considerably harder to rehearse than a definition question, which matters more every year.

Is this a problem specific to AI-assisted or vibe-coded projects?

It is not exclusive to them, but it concentrates there, and the reason is structural rather than moral. Generated scaffolding optimises for a working demo, and a permissive access policy is exactly what makes a demo work on the first attempt. The tightening step is a separate, unglamorous task that nobody is prompted to do because the application already behaves correctly from the outside. In a Dubai context this matters because a lot of the fastest-moving product work here starts as a founder-built or agency-built prototype that later gets a real engineering team bolted onto it. If you are hiring into that situation, assume the prototype has permissive policies until someone has proven otherwise, and make that audit an explicit first-month deliverable rather than a hope.

Does UAE regulation make this more expensive than elsewhere?

It raises the stakes in two ways that are worth knowing before you hire. Federal Decree-Law No. 45 of 2021 on the Protection of Personal Data sets obligations around securing personal data and notifying the UAE Data Office of breaches, and the financial free zones run their own regimes on top of that — the DIFC and ADGM each have their own data protection law and their own commissioner, so a company operating across mainland and a free zone can face more than one notification path for the same underlying mistake. The second cost is quieter: a misconfigured access policy usually has no log signature, so when you eventually have to describe what was exposed and for how long, you may not be able to. That reconstruction cost is what tends to surprise employers, and it is an argument for screening authorisation reasoning at hiring time rather than auditing for it later.

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Source: Zack Whittaker, “Some Supabase customers are publicly exposing reams of people’s data to the web,” TechCrunch, 25 September 2026, reporting research by UpGuard. Quotations from Supabase CISO Bil Harmer as published in that report.