Black October: why bugs discovered by OpenAI tech are creating a cyber emergency

Axios reports that flaws in PHP, which it says runs millions of websites, were found with help from OpenAI technology, and that patches released on Oct. 21 sent governments and companies offline briefly. In a Bloomberg Tech interview, OpenAI's Greg Brockman and Cloudflare's Matthew Prince describe the discovery and the attacks since.

Why it matters

The same thing, for different readers.

What it means for you

Websites built on PHP may have been exposed for years; Cloudflare's CEO says anyone running PHP should install the free update now.

For lawmakers

OpenAI's Brockman asks what societal process should keep the internet patched as AI finds flaws faster, and cites court-ordered botnet clean-ups as a precedent.

For researchers

OpenAI says its internal model found the more complete version autonomously, a month after a security researcher using its models found an earlier version.

The question it raises

Who may scan for and remotely patch other people's vulnerable systems, and who decides, is left open by OpenAI's Brockman.

In their own words

Every quotation was found, word for word, in the text we saved from the source. That shows the words are there; it does not make them true, or prove the speaker meant them as quoted.

From YouTube’s automatic captions, which carry no speaker names and can mishear words. Where the speaker is known only from context, the quotation says so.

“It wasn't that AI created the bug. AI found the bug that was there, and it's incredibly important that we've now found it, fixed it, and the software is significantly more secure because of the work that OpenAI did.”
Matthew Prince, CEO, CloudflarePrince answers the Bloomberg host's question whether AI found the flaws before attackers did.
Found word for word in the source
“Literally, we're seeing millions of attempted, attacks using this flaw, now across all of our network, you know, every single minute of every single day.”
Matthew Prince, CEO, CloudflarePrince describes exploitation attempts against the PHP flaw seen on Cloudflare's network after it became public.
Found word for word in the source
“We set up an environment, and we we took our most capable model with a lot of compute behind it, and that that autonomously was able to find the full exploit.”
Greg Brockman, President, OpenAIBrockman explains how OpenAI's internal version of the discovery was made, compared with the researcher-guided one.
Found word for word in the sourcespoken clean-up: we (said twice), that (said twice)
“we're in this world where there's what we call a defender's window, where frontier models are ahead of what's broadly available.”
Greg Brockman, President, OpenAIBrockman answers a question on who should be allowed to scan for and patch vulnerable systems.
Found word for word in the sourcestarts inside a longer claim, right after “and”
“believe that attackers are going to start using models broadly to try to exploit these flaws. We are monitoring on our side watching for it”
Greg Brockman, President, OpenAIBrockman answers whether hackers have used OpenAI's models against this flaw.
Found word for word in the source

The record

Questions
How is AI used in attacks, defence and war? · Are AI companies putting stronger safeguards into practice?
People
Greg Brockman (Speaks, President, OpenAI) · Matthew Prince (Speaks, CEO, Cloudflare) · Ed Ludlow (Speaks) · Herb Scribner (Wrote it)
Also covered by
Bloomberg Tech · Bloomberg Television · NBC News
What we read
We could read only part of the source.
Found by
The Radar, run of October 23, 2026, via axios (tier 2: a major outlet’s own reporting)
Cite this
Axios, “Black October: why bugs discovered by OpenAI tech are creating a cyber emergency”, October 22, 2026. Entry in the Ctrl AI Base, https://ctrlai.com/base/axios-2026-10-22-openai-php-flaw-black-october
Our notesAxios returned 403, so the Axios article itself was not read; the Axios summary comes from the triage excerpt. The saved text is the Bloomberg Tech interview's captions (not generated; no speaker names). Speakers are inferred from the host addressing 'Greg' and 'Matthew' before each answer. Captions are rough ('Califf', 'floor' for flaw, 'dots' for the agent product). 'Sol' model name and Bloomberg's '70% of websites' come from the host and Prince, not checked independently.