Dot-Form Header Aliases: How Traefik ForwardAuth Identity Spoofing Reached Backends Before 2.11.56

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Dot-Form Header Aliases: How Traefik ForwardAuth Identity Spoofing Reached Backends Before 2.11.56 Why this matters to anyone running a proxy in front of an application A common architecture puts a reverse proxy in front of an application and lets the proxy decide who the caller is. The proxy validates a session or a JWT, then writes an identity header such as X-Authenticated-User into the upstream request. The backend trusts that header because it cannot see the proxy's decision-making. CVE-2026-88879 breaks that trust contract in Traefik. The flaw is not a memory-safety bug, and it does not

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Hello, DEV Community! Estou chegando por aqui 👋

Estou ingressando aqui pela primeira vez e fico muito feliz em fazer parte desse espaço. Espero aprender bastante com vocês, trocar experiências e, aos poucos, contribuir com a comunidade também.

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ProgrammingDEV Community ·

Most of my traffic is coming from USA!!!

It's day 4 after launching my website, and I noticed that most of my users are coming from the USA. This is surprising because I have done more marketing in Kenya, but since it's an AI tool, it makes sense that more USA residents would be interested. I will keep an eye on this and will probably focus my marketing efforts abroad as opposed to locally. Here is the site I'm talking about: https://aiwatchdog.vercel.app/

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ProgrammingDEV Community ·

Don't Buy an All-in-One AI Subscription Without Running These Checks

The landing page looks compelling. A dozen tools, familiar model names, a fair price. But that page is marketing copy, not a description of how the tool fits into your weekly workflow. A plan can look great in a screenshot and still be a poor match for your actual daily work. That gap matters now because AI is no longer a single-task tool.

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ProgrammingDEV Community ·

Vanam by Mahaveer Varma

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass I built Vanam, an offline AI field guide for identifying birds and plants in the field. It uses the device camera, microphone, and GPS, and runs AI models directly on the device without uploading data. The results are checked through a confidence policy, written using facts from the local database, and saved to a trail. https://vanam-app-mahaveervarma.netlify.app/ https://github.com/VegirajuMahaveerVarma/Vanam I built Vanam with separate layers for the core logic, data storage, and user interface. The app f

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