Zero-days
Also written: 0 days, N-days, N-day exploit, Zero-day discovery, Zero-day remote exploits, 0-day remote exploit, Zero-day exploit, Zero-day vulnerability
Unknown software flaws with no available fix, posing significant security risks.
Zero-day refers to a security vulnerability in software that is unknown to the company that made the software. Because it's unknown, there is no patch or fix available for it. This makes it a prime target for attackers who can exploit it before the developers even know it exists.
Imagine a company releases a new app. A hacker discovers a secret way to break into that app, but the company has no idea about this flaw. The hacker can use this 'zero-day' vulnerability to steal data or cause damage until the company eventually finds out and releases a fix.
A zero-day vulnerability is a previously unknown flaw in software or hardware for which no patch or fix has been developed by the vendor. Attackers who discover and exploit these vulnerabilities before they are disclosed to the vendor or public gain a significant advantage, as there are no immediate defenses. The term 'zero-day' refers to the fact that the vendor has had zero days to address the vulnerability since its discovery.
Recent research from Anthropic highlights the potential for advanced AI models to discover and even develop exploits for software vulnerabilities. This raises concerns about AI accelerating the discovery and weaponization of zero-day exploits, impacting cybersecurity.
- #256 - Fable 5.1, Astra Tease, Gemini 3.8 FlashGoogle · Last Week in AI ·
- Investigating three real-world incidents in our cybersecurity evaluationsAnthropic · Anthropic News ·
- A big week for AI denialismOpenAI · Platformer ·
- GPT-5.6 Broke Out and Hacked Hugging FaceOpenAI · AI Inside ·
- Wait... Just How Good IS GPT-6?OpenAI · The AI Daily Brief ·
- Measuring LLMs’ ability to develop exploitsAnthropic · Anthropic Research ·
- Measuring LLMs' impact on N-day exploitsAnthropic · Anthropic Research ·
- LLM-discovered 0 daysAnthropic · Anthropic Research ·
- Google's New Laptop Category is Called GooglebookGoogle · AI Inside ·
- #240 - Project Glasswing, Claude Mythos, GLM-5.1, emotion conceptsAnthropic · Last Week in AI ·
- Partnering with Mozilla to improve Firefox’s securityAnthropic · Anthropic News ·
- Strengthening cyber resilience as AI capabilities advanceOpenAI · OpenAI News ·
- Scaling security with responsible disclosureOpenAI · OpenAI News ·
- Anthropic Claude
- Anthropic's research directly investigates how AI models interact with and potentially create exploits for software vulnerabilities, including zero-days.
- N-day exploit
- An exploit targeting a known vulnerability for which a patch is a
- Vulnerability
- A general weakness in software or hardware that could be exploite
- Zero-day vulnerability
- The flaw itself, whereas a zero-day often refers to the
The term 'zero-day' originated in the cybersecurity community to describe vulnerabilities and exploits that were unknown to the software vendor.
While directly experimenting with zero-days is not feasible or advisable, you can explore AI's role in cybersecurity by asking models like ChatGPT to explain common types of software vulnerabilities. Then, ask it to describe how a hypothetical security patch might fix such an issue.
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Questions people ask
- What is the difference between a zero-day and an exploit?
- A zero-day vulnerability is the flaw itself, while a zero-day exploit is the code or method used to take advantage of that unknown flaw.
- How are zero-days found?
- They can be discovered through rigorous security testing, code review, or sometimes by malicious actors.
First seen on Subvolts Jun 9, 2025. Updated Oct 12, 2026. Written by an AI model from the items above and reviewed against them weekly; report an error.

