Injection Attacks Are the New Deepfakes: What the OpenAI API User Group Tells Us About Identity Verification

There’s a heated conversation happening right now in OpenAI’s Developer Community—and it’s not about model latency or token pricing. It’s about something far more human: identity verification.

As OpenAI rolled out a new requirement for developers to submit government ID documents to access its latest APIs and capabilities, frustration erupted across the forum. The requirement itself isn’t new in the tech world, but what’s raising eyebrows (and blood pressure) is the document verification experience itself.

“It’s clunky, unresponsive, and feels broken,” one developer complained.

“I tried five times before it worked,” said another.

“The initial verification didn’t pass because license was blurry and then when I went to restart it again it keeps saying link expired,” complained another.

Several others commented on the privacy policy, “Why does the verification provider’s website have user-select: none on their privacy policy? (this makes it so you intentionally can’t easily cite text from the page).”.

And just like that, the conversation shifted—from gripes about friction… to how to get around it entirely.

Yes, in the same thread, someone suggested bypassing the verification using an API injection attack.

Wait… API Injection? That’s Not Just a Developer Hack. That’s a Red Flag.

If you’re a fraud fighter, this should make your heart skip a beat.

API injection attacks—where fraudsters manipulate client-side scripts to send false or spoofed information—are becoming one of the most common ways to bypass identity verification, especially in onboarding and document validation flows. In fact, security researchers report that injection attacks are skyrocketing across fintech, crypto, social, and AI platforms.

Let’s be clear: this isn’t some fringe threat. It’s as big a deal as deepfakes.

While the world obsesses over generative AI forging photorealistic IDs and face swaps, fraudsters are quietly injecting fake data directly into identity validation APIs, skipping over camera checks, bypassing liveness detection, and spoofing document metadata.

What OpenAI’s Verification Rollout Gets Right—and Where It Stumbles

On the one hand, kudos to OpenAI for recognizing that real capability requires real identity. With new models and automation offering unprecedented power and scale, knowing who’s at the controls is non-negotiable.

But if your identity flow breaks, stalls, or frustrates users to the point that they look for attack vectors, you’ve got a problem.

Fraud isn’t just about fake identities.

It’s also about broken trust and regulatory risk.

The Bottom Line for Platforms: You Can’t “Half Verify” Identity

If you’re using a document validation solution that doesn’t think deeply about injection detection, multi-factor cross-checking, and session integrity—you’re going to get beat. Period.

Fraudsters know the playbook better than we give them credit for. They’re not just forging IDs anymore—they’re writing scripts, rerouting endpoints, and manipulating client-side checks.

And if your users are frustrated with your verification flow? That’s not just a UX issue. It’s a fraud risk signal waiting to happen.

Identity is the New Perimeter

Whether you’re an AI platform, fintech, or social network, identity is your front line. And the threats aren’t just deepfakes. They’re injections. Spoofs. Bot farms. Scripted flows.

So if your doc verification process is built for yesterday’s attacks, it won’t hold up tomorrow.

Stay safe out there. And if you’re building, choose your identity partner like your platform depends on it—because it does. Let us know how we can help.