Volexity researchers spotted another state-aligned Chinese threat group exploiting a triple-link chain of zero-day vulnerabilities across multiple campaigns, the company said in a blog post Monday.

The threat group it tracks as UTA0565 exploited the vulnerabilities in Chrome and Microsoft between Sept. 3 and 4 before the defects were disclosed or patched, researchers said.

The timing of the malicious activity mirrors other spikes threat hunters observed and attributed to multiple Chinese espionage threat groups. Yet, Volexity noted UTA0565’s campaigns differed from those attacks by using multiple fake websites to deceive victims.

Volexity shared phishing emails UTA0565 sent to Asian government entities urging them to publicly support imprisoned Hong Kong activist Chow Hang-tung. The group spoofed domains impersonating the Center for American Progress and China Digital Times in other phishing emails.

While UTA0565 showcased a variance in tactics, it used the same components researchers observed in previous instances of the exploit kit across multiple Chinese threat groups.

“This seemingly widespread adoption across multiple threat actors suggests a coordinated effort within the Chinese computer network exploitation community, where the core kit was likely shared, customized, and weaponized by multiple groups,” Volexity wrote in the blog post. “The activity reported so far reflects only two organizations’ observations; the full scope and impact are likely far broader.”

The vulnerabilities include: CVE-2026-85046 and CVE-2026-87491, remote-code execution defects in the JavaScript engine for Chromium-based browsers; and CVE-2026-85880, a privilege-escalation zero-day that Microsoft disclosed Sept. 8 in Windows Advanced Local Procedure Call. 

Proofpoint, which previously observed multiple state-aligned threat groups chaining the vulnerabilities together in attacks since last August, said a limited group of organizations were exposed to all three vulnerabilities in a short window. 

Proofpoint previously attributed attacks involving the zero-days to APT31, UNK_LateNight, UNK_DoubleCheck and UNK_QuietRacket. At the time it warned that attackers of other origins and motivations could strike soon as well.

Volexity said UTA0565 used a payload from a previously undocumented malware family it tracks as “CLEANGULP.” Researchers also found several domains likely used by UTA0565 in similar campaigns targeting media organizations, halal restaurant search websites and corporate training organizations. 

“UTA0565’s use of the zero-day vulnerabilities shows technical and operational improvements over other campaigns observed by Volexity, both in the mechanics of the exploitation and the presentation to end users,” researchers wrote. “Using real content from legitimate websites as decoy material continues to be an effective way to reduce user suspicion.”

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Proofpoint researchers have spotted at least four state-aligned threat groups chain a trio of zero-day vulnerabilities to conduct espionage on various targets of interest to China’s government since late August. 

The Chinese espionage group that Proofpoint tracks as TA412, also known as Violet Typhoon and APT31, struck first, exploiting the chain of vulnerabilities Aug. 28. At least three additional espionage threat groups followed suit, exploiting the same vulnerabilities in subsequent waves of attacks days later, researchers said.

The exploit chain Proofpoint calls BlueMoon targets Chrome, Chromium-based browsers and Microsoft Windows. It allows attackers to run code in the browser’s sandbox, escape the sandbox and gain system privileges to access a targeted machine, said Mark Kelly, staff threat researcher at Proofpoint.

“All three vulnerabilities were exploited before patches were available to the public,” he said.

The vulnerabilities include: CVE-2026-85046 and CVE-2026-87491, remote-code execution defects in the JavaScript engine for Chromium-based browsers; and CVE-2026-85880, a privilege-escalation zero-day that Microsoft disclosed Tuesday in Windows Advanced Local Procedure Call. 

“While the V8 vulnerabilities were known and fixed in Chromium source code, they were not yet patched in the latest publicly available browsers at the time of the activity, meaning they effectively functioned as zero-days in those products,” Kelly said.

Proofpoint said the exploit kit developer likely reverse engineered the publicly available Chromium patches to weaponize the browser exploit chain during that gap.

With a limited group of organizations exposed to all three vulnerabilities, attackers moved quickly and likely rushed development to target a narrow pool of potential targets. “In all observed cases, the infrastructure used for exploit delivery was created on the same day as — or in the days immediately preceding — the associated campaigns,” Proofpoint wrote in a threat intelligence report.

APT31, a group that’s committed espionage on behalf of China’s Ministry of State Security, including seven Chinese nationals indicted by the Justice Department in 2024, dropped various lures containing the exploit chain loader in phishing emails targeting non-governmental organizations, mining companies and commodity trading firms in the United States. 

The phishing link installed a malicious browser extension disguised as Google Gemini on targeted machines, enabling attackers to surveil browser activity, steal credentials and execute commands, according to Proofpoint. 

Other distinct threat groups have also used the BlueMoon exploit chain with some slight technical changes and variances in targeting. 

“Proofpoint observed BlueMoon usage as recently as Sept. 8,” Kelly said. “The activity peaked Sept. 2-3 immediately prior to the Chrome patch being released and has continued intermittently since then.”

A China-aligned espionage threat group Proofpoint tracks as UNK_LateNight targeted multiple U.S. aerospace companies Sept. 2. Researchers also that day observed UNK_DoubleCheck, a suspected espionage-motivated threat group targeting Vietnamese manufacturing organizations with emails from a compromised Southeast Asian government account. 

Researchers said UNK_QuietRacket, another espionage group aligned with China, targeted government, consulting and financial sector organizations in Indonesia and Singapore Sept. 3.

Proofpoint has directly observed fewer than 20 organizations targeted globally thus far, but Kelly said the true number of impacted organizations is likely much higher. 

While Proofpoint attributes most of the observed attacks to Chinese espionage groups, attackers of other origins and motivations could strike soon as well. 

“Given its ease of adoption, we expect the exploit kit is likely to proliferate further and be adopted by additional espionage-motivated and financially motivated threat actors as patched versions are fully rolled out across all Chromium-based browsers,” Kelly said.

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As AI-enabled hacking becomes a bigger threat for cybersecurity and national security, public attention has focused on mainly a few leading frontier AI companies developing more powerful large language models.

These models, and the billions of dollars behind them matter, but they’re only part of a larger shift. Enterprises are now building their own technology platforms that take these general-purpose LLMs and turn them into bespoke cybersecurity tools.

Industry professionals refer to these tools as a “harness.” They control the model’s behavior, limit its risks, and connect it to internal IT systems and networks so it can work reliably at scale.

New research from Cato Networks shared exclusively with CyberScoop shows how much power can come from a harness. It paired OpenAI’s ChatGPT 5.5 and GPT 5.5-Cyber models with its own tool and tested the abilities of the agent to hack into a victim network with as little human direction as possible.

Across six different scenarios, the pairing achieved complete end-to-end attack chains, including domain administrator privileges and Active Directory access, sometimes in as little as 40 minutes.

“What was most surprising is that first we saw that it was capable of doing accelerated reasoning and attack, and interacting and doing all this by itself, like doing all of the stages of the attacks,” said Guy Waizel, a tech evangelist at Cato Networks and one of the authors behind the research.

Critically, the most successful scenarios happened when the model was given appropriate operational context from the technical harness developed by Cato Networks.

“It does support that it’s not just about the frontier model,” said Waizel. “We found that [our harness] really helps the reasoning” of the LLM.

The agent was given some – but not abundant – resources to complete its tasks, including an external Kali Linux attack host, the simulated target’s public IP address and a set of low-level domain credentials acquired through phishing.

It was not provided with any other details, and had to probe further for key information, such as further knowledge of the server type (Microsoft Exchange), the target’s operating system, version, build number, internal network topology, access to higher privilege accounts and other critical assets, nor was agent given any predetermined attack paths.

The Cato Networks research uses OpenAI models, but only as an example. Waizel said he believes other models would likely achieve similar results. In any event, if current trends hold, the kind of capabilities provided by LLMs like GPT 5.5 are likely to be open-source within a year.

Cato Networks is far from alone. Most enterprises have their own AI harnesses, and  executives tell CyberScoop they are playing an increasing role in more effectively steering the frontier model workflows.

While AI tools can struggle to duplicate human workflows in other areas, LLMs have long shown potential in cybersecurity and coding, improving greatly over the past few years. The Trump administration has set up a new federal clearinghouse for exchanging information between the public and private sectors on AI-discovered vulnerabilities, while European groups are setting up their own organizations to coordinate globally on AI cyber threats.

Eric Doerr, chief product officer at Tenable, told CyberScoop a harness used in the company called “Hexa”  offers a defensive advantage:  it can work with different commercial LLMs while delivering consistent  results.

“One of the first things we do when we get a [new] model is say ‘Well, let’s run it through Hexa and see what we learn,’” said Doerr. “We have a whole bunch of benchmarks. Is it the same, is it better? Where is it better? Where is it worse?”

Hexa is meant to ensure that whichever model or models become dominant, Tenable will be able to integrate it into their tech stack and protect their most sensitive assets from unintended behaviors. That frees up the LLM to do what it does best: find vulnerable code and establish attacker pathways for exploiting them.

“For years, it has been true that there are way more potential issues that a company has to deal with: code vulnerabilities, things that are unpatched, misconfigurations,” said Doerr. “There’s way more than you can actually remediate, and you really need to understand the difference between what’s a theoretical problem and a real problem.”

Dan Rapp, chief AI and data officer at Proofpoint, said their harness, “Satori,” has become a critical tool for keeping their agentic AI on track while giving humans the ability to step in when things go awry.

“I think what you’re seeing in the foundation of frontier models is you have raw intelligence, raw reasoning power, but to get these systems to perform the way you want to, both context engineering – the content provided ensuring that its accurate and relevant – and the harness engineering are essential to actually get the systems to perform well,” Rapp told CyberScoop.

That was a common theme in interviews with companies. While frontier models come and go, or are overtaken by international competitors, there will always be the need for the model to operate with data and context that often only the organization can provide.  

It suggests that while policymakers and cybersecurity experts have focused on the spread of newer and more powerful frontier models, industry – and likely soon the cybercriminal underground — has quickly developed the kind of technical infrastructure that is becoming far more important to AI cyber defensive and offensive tasks.

“We’ve had to bootstrap quite a few of these systems from first principles, and what it always boils down to is how effective you are with the tool calling… bringing in data, enriching the context,” said John Hopper, vice president of product engineering at SpecterOps.

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China-aligned attackers broke into the networks of U.S. and Canadian universities to steal sensitive data and establish persistent access via webshells and backdoors, Proofpoint threat researchers said Tuesday. 

The espionage-motivated attacks targeted physics and engineering departments, focusing on administrators and professors with national security links or organizations researching astrophysics and particle physics.

Proofpoint identified less than 10 university victims and estimates a few dozen universities may be impacted, Greg Lesnewich, principal threat researcher at Proofpoint, told CyberScoop. The company first observed the campaign in May and believes the campaign is ongoing. 

“There is a high likelihood that many victims have not been made aware of this activity yet,” Lesnewich added.

Researchers traced the attacks to a pair of critical vulnerabilities in Roundcube, an open-source email client, that were exploited and chained together to steal credentials and gain long-term access.

The threat cluster, which Proofpoint tracks as UNK_MassTraction, exploited CVE-2024-42009 to execute JavaScript inside the victim’s browser, then exploited CVE-2025-49113 to gain a foothold in the mailserver. 

The initial exploit in the chain only requires a victim to open an email, and the attackers sent victims a series of generic lures to trigger the initial access.

Proofpoint attributes the campaign to a China-aligned cluster because the attackers used a known covert network used by multiple China-aligned threat groups, an infection chain leading to VShell and left Chinese language artifacts in the phishing emails. 

Researchers haven’t drawn any conclusions about why attackers targeted the universities and what they are seeking. 

“We do not have data to suggest what got stolen, as we only observe the initial inbound email attempt,” Lesnewich said. 

The engineering aspects do align with China’s strategic initiatives, he added. Google threat hunters recently spotted a Chinese state-sponsored espionage group that burrowed into systems for years, stealing data across academia, medicine, military, cybersecurity and foreign policy. 

“China-aligned adversaries have been targeting other types of edge devices such as routers and VPN concentrators for years with various exploits to create a foothold into a target network, not using email for delivery,” Lesnewich said. “This campaign flips that on its head, using email to deliver an exploit chain to compromise a mail server, instead of using email to deliver a credential harvesting URL or malware to target an end user, not a server.”

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