Microsoft’s streak of record-breaking vulnerability disclosures continued with a mega Patch Tuesday, containing 1,413 defects affecting the company’s various enterprise products and services. 

The monthly batch of patches surpassed the company’s previous annual record of 1,261 common vulnerabilities and exposures (CVEs) set in 2020. 

“Hundreds of CVEs in a single release used to be the exception — now it’s the baseline,” Dustin Childs, head of threat awareness at TrendAI’s Zero Day Initiative, wrote in an email. AI is partly to blame, he added, but it “isn’t creating these bugs out of thin air; it’s just shortening the time between a vulnerability existing and someone noticing it.”

Yet, for defenders understandably overwhelmed by the surge of defects found in Microsoft products, actively exploited zero-day vulnerabilities aren’t growing in kind.

“If there’s solace to be had, it’s in the fact that only one of these bugs is under active attack,” Childs wrote in a blog post. “If you go back to the hot 0-day summer of 2023, there were 17 Microsoft 0-days between January and October as opposed to 15 this year during the same period.”

Microsoft disclosed one actively exploited zero-day affecting Windows Shell — CVE-2026-96951 — that allows unauthorized attackers to bypass a security feature. The high-severity defect is the third Windows Shell vulnerability exploited this year, according to Satnam Narang, senior staff research engineer at Tenable. 

“There have been 26 Windows Shell vulnerabilities patched in 2026 through October, a staggering figure compared to previous years, with only 3 Windows Shell CVEs in 2025 and just one in 2024 and 2022,” he added.

The vast majority of defects Microsoft disclosed in this month’s security update affect Windows, its ubiquitous operating system , spanning 1,102 vulnerabilities combined. The update also included 134 vulnerabilities in Office, 61 in various developer tools and 36 in SharePoint Server. 

Microsoft tried to address the toll this monthly flood of vulnerabilities has on its customers by introducing “risk cohorts.” These groups of vulnerabilities don’t necessarily share a root cause or severity rating, but generally require a similar customer assessment that could guide prioritization efforts, the company said. 

“The volume isn’t the real story anymore,” Childs added. “What matters is that discovery is scaling faster than exploitation, so teams that triage by sheer CVE count instead of exploitability are burning cycles on the wrong bugs. Patch what’s proven, prioritized, and public, and treat everything else as this month’s new normal.”

The full list of vulnerabilities addressed this month is available in Microsoft’s Security Response Center.

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Artificial intelligence has removed the skill advantage that once set state-sponsored hackers apart from lone criminals, according to a threat report Anthropic published Thursday that documents misuse of its Claude models across seven areas of harm.

The report, which details activity observed between December 2025 and August 2026, covers cyber operations, influence operations, surveillance, scams and fraud, biological misuse, conventional weapons development and distillation. Anthropic said it disrupted each operation, strengthened safeguards and shared intelligence with authorities and industry partners where appropriate. 

“The cases we share here aren’t typical misuse, but rather examples of the most notable and novel threat activity we’ve identified to date,” the report reads. “We’re publishing this work because we believe we have a responsibility to disclose malicious misuse of our services. As models become increasingly capable, their risks will increase, unless AI developers and society’s defenders act to make them safer.”

The cyber operations the company detailed were a Russian-aligned espionage campaign that hit more than 20 government and defense organizations across Ukraine and Europe, two Chinese undergraduates who ran an automated exploit foundry that produced more than a dozen potential zero-days in a single month, affiliates of the ShinyHunters crime collective who dumped 2,100 cloud access tokens across 40 corporate tenants in 34 hours, and a lone hacktivist who targeted European political parties via stolen API keys. 

For decades, cybersecurity researchers and investigators have pointed to sophisticated operations as a signature of state-sponsored tradecraft, while crude intrusions suggested amateurs or petty criminals. Anthropic posits in the report that AI has erased that conventional thinking, especially since a “majority of the operations described in this report were enabled by AI via direct execution or orchestration.”

“For threat intelligence investigators, sophistication has stopped being a reliable signal of who is behind an operation,” the report said, adding that a hacktivist on stolen API keys, scattered criminals and a state espionage operator each ran campaigns that a year earlier “would have required many skilled operators and specialist knowledge.”

The most extensive case involved a malicious actor using the handle “JackPoterz” whose actions aligned with Russian state espionage, matching behaviors linked to Midnight Blizzard. 

According to the report, the actor employed a custom toolkit composed of two families of Windows-based implants, a mobile exploitation kit, a credential stealing tool that targets browser password stores, a phishing platform designed to mimic priority targets like government organizations, and an administrative console used to manage compromised accounts. Targets included military intelligence bodies in Ukrainian and European governments, diplomatic and defense organizations, and people connected to U.S. foreign policy.

According to the report, AI monitored whether security products flagged the actor’s malware. When a detection occurred, “agents would then set about the process of autonomously modifying and rebuilding the malware to evade the existing detections,” the report said.

The same actor bulk-exported mailboxes at drone component manufacturers and stole a complete software development kit for a drone vision system, then spent days recovering its architecture and details of an unannounced product. The actor also compromised hotel Wi-Fi vendors to reach guests through DNS hijacking, took over WhatsApp accounts with headless browsers, and stole more than 300,000 national identity records from a North African government agency, along with registry data on more than half a million companies.

The Chinese-speaking operators, which the company says were partly carried out by undergraduates at a Chinese university, put Claude to work on vulnerability research around the clock. One workflow iterating on network appliance firmware “yielded more than a dozen possible zero day findings in a single month.” It ran “agent swarms,” in which a lead agent divided work among parallel subagents, and kept campaign memory between sessions. 

Clusters linked to ShinyHunters showed how AI shortens criminal timelines. One supply-chain breach ended with a dump of more than 2,100 Azure access tokens spanning more than 40 corporate tenants in about 34 hours. “AI agents performed nearly all of the work,” the report said. Another compromise moved from a single stolen developer token to full control of a victim’s cloud environment in roughly three hours.

The report also has a section dedicated to distillation attacks that Anthropic claims were carried out since February by seven labs based in China, including Alibaba, DeepSeek, Moonshot AI, Xiaomi and Zhipu. Operators affiliated with Alibaba ran the largest attack Anthropic has measured, peaking “at nearly 3 million exchanges per day launched from more than 3,500 fraudulent accounts” to harvest the outputs of Claude Opus models for training its Qwen systems.

The outputs were culled from users who never knew they were involved. The report said Moonshot and DeepSeek silently forwarded their own customers’ requests to Claude and returned its answers as their own, exposing data users had not agreed to share, including surveillance footage of a tracked individual pulled by a user likely affiliated with the People’s Liberation Army. Those practices are “likely inconsistent with privacy laws and the labs’ own terms of service,” the report said.

Earlier this week, a joint cybersecurity advisory from the National Security Agency, the Cybersecurity and Infrastructure Security Agency and the FBI accused Chinese AI companies of engaging in a deliberate and “systematic” effort to illegally distill U.S. frontier AI models and their capabilities.

Anthropic said it published the cases to give outsiders a view of how these threats form, framing the disclosures as an early look at a shifting landscape. 

“As models become increasingly capable, their risks will increase, unless AI developers and society’s defenders act to make them safer,” the report said. The old idea of “security through obscurity,” it added, “is no longer viable in this new AI-assisted world: everything connected to the internet is a potential target for exploitation.”

You can read the full report on Anthropic’s website.

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