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OpenAI blames a bug in a Redis client open-source library for the March 20 ChatGPT history issue and exposure of 1.2% of ChatGPT Plus subscribers' personal info

BleepingComputer Lawrence Abrams

Context & Ripple Effects

The disclosure fills in the cause behind ChatGPT's March 20 history incident, which first led OpenAI to temporarily take ChatGPT offline after users could see other users' chat-title metadata. OpenAI subsequently said the significant issue had been fixed, but this account adds that some Plus subscribers' personal information was also exposed through a Redis client-library bug.

The episode matters because a widely used AI service's user-data boundary was affected by an upstream open-source dependency, not only by the model or application layer.

First-order effects

  • OpenAI must treat the March 20 event as both a service-availability problem and a personal-information exposure affecting 1.2% of ChatGPT Plus subscribers.
  • ChatGPT's history experience was disrupted while OpenAI addressed the flaw; the company had already described the incident as a fixed significant ChatGPT issue.

Second-order effects

  • The incident puts pressure on AI product teams to scrutinize the behavior of client libraries and other shared dependencies that sit on paths handling user sessions, history, and account data.
  • Redis and other infrastructure vendors face greater demand from enterprise customers for clearer incident analysis and controls around dependency updates and failure modes.

Third-order effects

  • If similar incidents recur, security governance for open-source dependencies will become a more visible part of how AI platforms earn user trust, rather than a back-office engineering concern.
  • The event reinforces that concentrated consumer AI services can inherit systemic exposure from common infrastructure components, raising the value of resilience and dependency-governance practices.

The trend: Frontier AI products are becoming critical user-data services whose trust and reliability depend as much on shared infrastructure governance as on model quality.

Related: SDK governance gap · AI Commons as Critical Infrastructure · Trust as Agentic Infrastructure · OpenAI · Redis · ChatGPT history shutdown

Related Coverage

Discussion

  • @openai @openai on x
    We took ChatGPT offline Monday to fix a bug in an open source library that allowed some users to see titles from other users' chat history. Our investigation has also found that 1.2% of ChatGPT Plus users might have had personal data revealed to another user. 1/2
  • @jazzshaw Jazz Shaw on x
    Shortly after my phone asked me if I wanted to try the new ChatGPT plugin for Google, it sent me this news update. https://www.engadget.com/...
  • @vboykis Vicki on x
    Something that I've learned over my time in industry is that the web runs on cache and that cache is always redis and no matter what you're building, from CRUD to AGI, you better know about cache. https://openai.com/...
  • @caseyjohnellis @caseyjohnellis on x
    this is how you do transparent incident response. March 20 ChatGPT outage: Here's what happened https://openai.com/...
  • @arvidkahl Arvid Kahl on x
    Wait, the last 4 digits of 1.2% of paying ChatGTP users were exposed as well as the CC expiration date?] That's pretty critical! https://openai.com/...
  • @openai @openai on x
    We believe the number of users whose data was actually revealed to someone else is extremely low and we have contacted those who might be impacted. We take this very seriously and are sharing details of our investigation and plan here. 2/2 https://openai.com/...