u/non_chalant_32

I recently went down a rabbit hole looking into open-source projects like the "Infinite-Storage-Glitch," which attempt to use YouTube as unlimited encrypted storage by encoding data directly into video frames.

Watching how these projects evolved raised a cryptography question I've been chewing on:

If the whole encoding method is public knowledge, is it still "hiding" anything? Kerckhoffs's Principle says a cryptosystem should stay secure even when everyone knows exactly how it works, as long as the key stays secret. AES-256 holds up fine to that standard.

But almost none of these YouTube storage projects still disguise data as convincing visual noise. Developers who tried LSB, DCT, and pixel-level steganography found it fell apart the moment YouTube re-encoded the video. The ones that survived had to switch to loud, high-contrast, error-tolerant blocks (basically QR codes). Subtlety loses to compression almost immediately. What's left is just encryption with a video file extension, not real steganography.

The bigger questions:

1. If a system is mathematically unbreakable without the key, does the visual disguise of steganography matter at all, or is it purely psychological armor that is irrelevant to the math?
2. As AI anomaly detection gets better at spotting manipulated media, does that shrink the space for steganography to almost nothing, leaving pure cryptography as the only thing that actually holds up in the wild?

Would love to hear thoughts from people working in modern steganography or anomaly detection.

Hey r/azure,

I wanted to share an interesting scenario we ran into during a live production deployment window this week involving Azure Data Factory and ARM templates. It served as a great refresher on Control vs. Data plane mechanics and hard Azure limits.

(Anonymizing specific client/resource details)

Blocker 1: The Control Plane Trap

We were manually publishing our DEV Data Factory to generate the ARM templates in our adf_publish branch. The publish instantly failed with a LinkedAuthorizationFailed error regarding an Event Grid Subscription.

The "Why": A developer had merged an Event-Based Trigger. While our ADF Managed Identity (Data Plane) had the permissions to run pipelines, a manual "Publish" action uses the engineer's physical Entra ID credentials (Control Plane). Because I lacked the EventGrid EventSubscription Contributor role on the target storage account, Azure Resource Manager blocked the entire publish. We simply reverted the trigger code to unblock the template generation.

Blocker 2: The 256 Parameter Limit

Once we reached the Azure DevOps Release pipeline, we noticed a Key Vault secret name for a Linked Service hadn't been parameterized (it was hardcoding a DEV/QA name).

We jumped into arm-template-parameters-definition.json and applied a global wildcard to force parameterization of secretName for all Linked Services.

The publish succeeded, but our DevOps pipeline crashed. The ARM template was completely invalid. Why? The 256 parameter limit. By applying the wildcard, ADF traversed our massive factory and generated over 300 parameters, instantly breaching the hard ARM architectural limit.

The Strategic Workaround

Fixing the 256 limit properly requires explicitly ignoring ("-") static variables across the whole factory to free up space. Doing that during a live deployment window was too high-risk.

Instead, we reverted the parameterization fix. We took the hardcoded DEV/QA secret name the template was demanding, went into the PROD Key Vault, and created a secret with that exact non-production name - but populated it with the PROD credentials.

The pipeline deployed, the Linked Service authenticated, and the deployment succeeded without breaching the parameter limit or requiring massive refactoring.

Takeaways for me

1. Just because your Managed Identity has access doesn't mean your manual deployment commands will. Know your execution planes.

2. Be incredibly careful using wildcard parameterization in large ADF environments.

Has anyone else hit the 256 ARM limit in ADF? How do you guys manage your arm-template-parameters-definition.json to keep the parameter footprint down?

Would love to hear how others tackle parameter bloat or other similar issues in CI/CD!

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