Attackers are actively exploiting a Linux vulnerability in the wild, and researchers warn that the fallout could be broad — anyone with authenticated local access can leverage it to gain total control of a system. 

But the story behind CVE-2026-31431 is almost as interesting as the bug itself. Theori, the company that discovered the bug, leaned heavily on AI to find and initially disclose it. The result is a case study that  underscores the challenges that occur when the relentless hunt for defects collides with marketing impulses and inflated AI-generated language that was long on bluster but lacked technical details. 

Theori dubbed the high-severity vulnerability “Copy Fail” with a vanity domain containing AI-generated content, and warned that every mainstream Linux kernel built since 2017 is in scope of potential exploitation resulting in root access. 

Theori’s AI-powered penetration testing platform, Xint, discovered the local privilege-escalation flaw in a Linux kernel module and reported it to the Linux kernel security team March 23. Major Linux distributions affected by the vulnerability had issued patches prior to Theori’s disclosure, which it published alongside a proof-of-concept exploit. 

The Cybersecurity and Infrastructure Security Agency added CVE-2026-31431 to its known exploited vulnerabilities catalog Friday.

Researchers have yet to determine how many organizations have been impacted by the flaw, but they noted that critical requirements for exploitation, specifically local access achieved through a separate exploit or pathway to unauthorized access, should limit potential exposure.

“The attacker would need to have already established a foothold on the target system either through some means of legitimate access or another exploit,” Spencer McIntyre, secure researcher at Rapid7, told CyberScoop. “That’s a large limiting factor since this vulnerability would therefore need to be paired with another.”

Theori’s disclosure turned heads among other vulnerability researchers who noted the defect’s broad potential impact, but also for lacking details about the proof-of-concept exploit. 

“The exploit is real, there is something to worry about, but understandably, teams now have to do additional validation to know how to parse the extreme AI FUD (fear, uncertainty and doubt) from [Theori’s] blog post,” Caitlin Condon, vice president of security research at VulnCheck, told CyberScoop. 

“It’s not helpful that the blog is AI slop, because it detracts from technical reality,” she added. 

Theori acknowledges it used AI to discover and describe the vulnerability, explaining that it’s focusing on finding and fixing a large amount of defects. 

“We used AI to help craft the disclosure site and the blog post to help speed things up, but all material was thoroughly reviewed by our internal teams for accuracy,” said Tim Becker, senior security researcher at Theori. 

Theori is intentionally withholding additional details until the patch is broadly applied, he added.

“We stand by our technical description of the vulnerability. Helping downstream users to understand the impact of a security bug has always been a challenge for security researchers,” Becker said. “Copy Fail allows for trivial privilege escalation on most desktop and server Linux distributions. It also has implications for containerization including Kubernetes.”

Other researchers have drawn similar conclusions, noting that exploitation can be automated and doesn’t require specialization. 

Meanwhile, hundreds of additional proof-of-concept exploits have surfaced since the vulnerability was disclosed five days ago. “As expected, the majority of these appear to be copycat AI PoCs that do nothing but add banners or different colors to the command-line interface. Many new PoCs are simply ports of the original AI PoC to a different programming language,” Condon said. 

“Organizations should exercise caution when running untested research artifacts, including AI-generated exploit code that isn’t fully explained,” she added. 

Becker said Theori is aware of the burden defenders confront, and insists the company’s reports contain enough information for organizations to quickly triage and validate its findings.

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Major technology companies have joined forces in an effort to use advanced artificial intelligence to identify and address security flaws in the world’s most critical software systems, marking a significant shift in how the industry approaches cybersecurity threats.

Anthropic announced Project Glasswing on Tuesday, bringing together Amazon, Apple, Broadcom, Cisco, CrowdStrike, the Linux Foundation, Microsoft, and Palo Alto Networks. The initiative centers on Claude Mythos Preview, an unreleased AI model that Anthropic will make available exclusively to project partners and approximately 40 additional organizations responsible for critical software infrastructure.

The model has already identified thousands of previously unknown vulnerabilities in its initial testing phase, including security flaws that have existed in widely used systems for decades, according to Anthropic. Among the discoveries is a 27-year-old bug in OpenBSD, an operating system known primarily for its security focus, and a 16-year-old vulnerability in FFmpeg, a widely used video software program that automated testing tools had failed to detect despite running the affected code line five million times. The company has been in contact with the maintainers of the relevant software, and all found vulnerabilities have been patched. 

Anthropic will commit up to $100 million in usage credits for the project, along with $4 million in direct donations to open-source security organizations. The company has stated it does not plan to make Mythos Preview available to the general public, citing concerns about the model’s potential misuse.

The initiative reflects growing concerns within the technology sector about the dual-use nature of advanced AI systems. While Mythos Preview was not trained specifically for cybersecurity purposes, its coding and reasoning capabilities have proven effective at identifying subtle security flaws that have eluded human analysts and conventional automated tools.

“Although the risks from AI-augmented cyberattacks are serious, there is reason for optimism: the same capabilities that make AI models dangerous in the wrong hands make them invaluable for finding and fixing flaws in important software—and for producing new software with far fewer security bugs,” the company said in a blog post. “Project Glasswing is an important step toward giving defenders a durable advantage in the coming AI-driven era of cybersecurity.”

The project comes as the industry has predicted that similar AI capabilities will soon become more widespread. Anthropic executives have indicated that without coordinated action, such tools could eventually reach actors who might deploy them for malicious purposes rather than defensive security work.

Participating organizations will be required to share their findings with the broader industry. The project places particular emphasis on open-source software, which forms the foundation of most modern systems, including critical infrastructure, yet whose maintainers have historically lacked access to sophisticated security resources.

“Open source software constitutes the vast majority of code in modern systems, including the very systems AI agents use to write new software. By giving the maintainers of these critical open source codebases access to a new generation of AI models that can proactively identify and fix vulnerabilities at scale, Project Glasswing offers a credible path to changing that equation,” said Jim Zemlin, CEO of the Linux Foundation. “This is how AI-augmented security can become a trusted sidekick for every maintainer, not just those who can afford expensive security teams.” 

Additionally, Anthropic says it has engaged in ongoing discussions with U.S. government officials regarding Mythos Preview’s capabilities. The company has framed the project in national security terms, arguing that maintaining leadership in AI technology represents a strategic priority for the United States and its allies. Anthropic has been locked in a high-stakes dispute with the Department of Defense about the U.S. military’s use of the startup’s Claude AI model in real-world operations. 

The project’s success will depend partly on whether the collaborative approach can keep pace with rapid advances in AI capabilities. Anthropic has indicated that frontier AI systems are likely to advance substantially within months, potentially creating a dynamic environment where defensive and offensive capabilities evolve in parallel.

“Project Glasswing is a starting point,” Anthropic wrote in a blog post. “No one organization can solve these cybersecurity problems alone: frontier AI developers, other software companies, security researchers, open-source maintainers, and governments across the world all have essential roles to play. The work of defending the world’s cyber infrastructure might take years; frontier AI capabilities are likely to advance substantially over just the next few months. For cyber defenders to come out ahead, we need to act now.”

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