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Commvault Confirms Cyberattack, Says Customer Backup Data Remains Secure


Commvault, a well-known company that helps other businesses protect and manage their digital data, recently shared that it had experienced a cyberattack. However, the company clarified that none of the backup data it stores for customers was accessed or harmed during the incident.

The breach was discovered in February 2025 after Microsoft alerted Commvault about suspicious activity taking place in its Azure cloud services. After being notified, the company began investigating the issue and found that a very small group of customers had been affected. Importantly, Commvault stated that its systems remained up and running, and there was no major impact on its day-to-day operations.

Danielle Sheer, Commvault’s Chief Trust Officer, said the company is confident that hackers were not able to view or steal customer backup data. She also confirmed that Commvault is cooperating with government cybersecurity teams, including the FBI and CISA, and is receiving support from two independent cybersecurity firms.


Details About the Vulnerability

It was discovered that the attackers gained access by using a weakness in Commvault’s web server software. This flaw, now fixed, allowed hackers with limited permissions to install harmful software on affected systems. The vulnerability, known by the code CVE-2025-3928, had not been known or patched before the breach, making it what experts call a “zero-day” issue.

Because of the seriousness of this bug, CISA (Cybersecurity and Infrastructure Security Agency) added it to a list of known risks that hackers are actively exploiting. U.S. federal agencies have been instructed to update their Commvault software and fix the issue by May 19, 2025.


Steps Recommended to Stay Safe

To help customers stay protected, Commvault suggested the following steps:

• Use conditional access controls for all cloud-based apps linked to Microsoft services.

• Check sign-in logs often to see if anyone is trying to log in from suspicious locations.

• Update secret access credentials between Commvault and Azure every three months.


The company urged users to report any strange behavior right away so its support team can act quickly to reduce any damage.

Although this was a serious incident, Commvault’s response was quick and effective. No backup data was stolen, and the affected software has been patched. This event is a reminder to all businesses to regularly check for vulnerabilities and keep their systems up to date to prevent future attacks.

AI Now Writes Up to 30% of Microsoft’s Code, Says CEO Satya Nadella

 

Artificial intelligence is rapidly reshaping software development at major tech companies, with Microsoft CEO Satya Nadella revealing that between 20% and 30% of code in the company’s repositories is currently generated by AI tools. 

Speaking during a fireside chat with Meta CEO Mark Zuckerberg at Meta’s LlamaCon conference, Nadella shed light on how AI is becoming a core contributor to Microsoft’s development workflows. He noted that Microsoft is increasingly relying on AI not just for coding but also for quality assurance. 

“The agents we have for reviewing code; that usage has increased,” Nadella said, adding that the performance of AI-generated code differs depending on the programming language. While Python showed strong results, C++ remained a challenge. “C Sharp is pretty good but C++ is not that great. Python is fantastic,” he noted. 

When asked about the role of AI in Meta’s software development, Zuckerberg did not provide a specific figure but shared that the company is prioritizing AI-driven engineering to support the development of its Llama models. 

“Our bet is that probably half the development is done by AI as opposed to people and that will just kind of increase from there,” Zuckerberg said. 

Microsoft’s Chief Technology Officer Kevin Scott has previously projected that AI will be responsible for generating 95% of all code within the next five years. Speaking on the 20VC podcast, Scott emphasized that human developers will still play a vital role. 

“Very little is going to be — line by line — human-written code,” he said, but added that AI will “raise everyone’s level,” making it easier for non-experts to create functional software. The comments from two of tech’s biggest leaders point to a future where AI not only augments but significantly drives software creation, making development faster, more accessible, and increasingly automated.

Microsoft Launches Recall AI for Windows 11 Copilot+ PCs with Enhanced Privacy Measures

 

After months of delays stemming from privacy and security concerns, Microsoft has officially rolled out its Recall AI feature for users of Windows 11 Copilot+ PCs. The feature, which has now exited its beta phase, is included in the latest Windows update. Recall AI enables users to search their on-screen activity by automatically taking screenshots and storing them—along with any extracted text—in a locally encrypted and searchable database. This makes it easier for users to find and revisit previous interactions, such as documents, applications, or web pages, using natural language search. 

Originally introduced in May 2024, Recall AI faced widespread criticism due to concerns around user privacy and the potential for misuse. Microsoft delayed its public launch several times, including a planned release in October 2024, to address these issues and gather feedback from Windows Insider testers. 

In its revised version, Microsoft has made Recall AI an opt-in tool with built-in privacy protections. All data remains on the user’s device, with no transmission to Microsoft servers or third parties. Features such as Windows Hello authentication, full local encryption, and user control over data storage have been added to reinforce security. Microsoft assures users they can completely remove the feature at any time, although temporary system files may persist briefly before being permanently deleted. 

For enterprise users with an active Microsoft 365 E3 subscription, the company offers advanced administrative controls. These allow IT departments to set access permissions and manage security policies related to the use of Recall AI in workplace environments. Alongside Recall AI, Microsoft has also launched two additional features tailored to Copilot+ PCs. 

The improved Windows search function now interprets user queries more contextually and processes them using the device’s neural processing unit for faster and smarter results. Meanwhile, the Click to Do feature provides context-sensitive shortcuts, making tasks like copying or summarising text and images more efficient. In separate developments, Microsoft continues to advance its position in quantum computing.

Earlier this year, the company unveiled Majorana 1, a quantum chip based on a novel Topological Core architecture. According to Microsoft, this breakthrough has the potential to significantly accelerate solutions to industrial-scale problems using quantum technology.

Microsoft Alerts Users About Password-spraying Attack

Microsoft Alerts Users About Password-spraying Attack

Microsoft alerts users about password-spraying attacks

Microsoft has warned users about a new password-spraying attack by a hacking group Storm-1977 that targets cloud users. The Microsoft Threat Intelligence team reported a new warning after discovering threat actors are abusing unsecured workload identities to access restricted resources. 

According to Microsoft, “Container technology has become essential for modern application development and deployment. It's a critical component for over 90% of cloud-native organizations, facilitating swift, reliable, and flexible processes that drive digital transformation.” 

Hackers use adoption-as-a-service

Research says 51% of such workload identities have been inactive for one year, which is why attackers are exploiting this attack surface. The report highlights the “adoption of containers-as-a-service among organizations rises.” According to Microsoft, it continues to look out for unique security dangers that affect “containerized environments.” 

The password-spraying attack targeted a command line interface tool “AzureChecker” to download AES-encrypted data which revealed the list of password-spray targets after it was decoded. To make things worse, the “threat actor then used the information from both files and posted the credentials to the target tenants for validation.”

The attack allowed the Storm-1977 hackers to leverage a guest account to make a compromised subscription resource group and over 200 containers that were used for crypto mining. 

Mitigating password-spraying attacks

The solution to the problem of password spraying attacks is eliminating passwords. It can be done by moving towards passkeys, a lot of people are already doing that. 

Microsoft has suggested these steps to mitigate the issue

  • Use strong authentication while putting sensitive interfaces to the internet. 
  • Use strong verification methods for the Kubernetes API to stop hackers from getting access to the cluster even when valid credentials like kubeconfig are obtained.  
  • Don’t use the read-only endpoint of Kubelet on port 10255, which doesn’t need verification. 

Modify the Kubernetes role-based access controls for every user and service account to only retain permissions that are required. 

According to Microsoft, “Recent updates to Microsoft Defender for Cloud enhance its container security capabilities from development to runtime. Defender for Cloud now offers enhanced discovery, providing agentless visibility into Kubernetes environments, tracking containers, pods, and applications.” These updates upgrade security via continuous granular scanning. 

Microsoft: CLFS Zero-Day Flaw Exploited in Ransomware Attacks

 

Ransomware attackers abused a zero-day flaw in a widely used Windows logging system for managing transactional information to launch attacks against organisations in the US real estate sector, Microsoft revealed Tuesday. 

In a blog post, the tech giant stated that the perpetrators employed a previously unknown flaw discovered in Windows' Common Log File System - a popular target for malicious actors seeking privilege escalation - to attack "a small number of targets," including American real estate firms, a Spanish software company, Venezuela's financial sector, and Saudi Arabia's retail sector. 

The flaw, identified as CVE-2025-29824, has a CVSS score of 7.8 and has been added to the Cybersecurity and Infrastructure Security Agency's "Known Exploited Vulnerabilities Catalogue". 

Microsoft stated that Storm-2460, a ransomware threat actor, used the issue to spread PipeMagic malware. In March, the firm addressed a different bug in the Windows Win32 Kernel Subsystem that allowed hackers to escalate privileges to the system level, an exploit that researchers later linked to targeted assaults targeting Asian and Saudi organisations using a PipeMagic backdoor.

The tech behemoth said it "highly recommends organizations apply all available security updates for elevation of privilege flaws to add a layer of defense against ransomware attacks if threat actors are able to gain an initial foothold.”

Microsoft noted that it has not yet determined how Storm-2460 got access to compromised devices, although it did note that the organisation downloaded malware from a legitimate third-party website it had previously infiltrated using the Windows certutil application.

Following the deployment of PipeMagic, the attackers used a technique that prevented them from writing data to disc and enabled them to launch the log system exploit directly in memory. In a security update posted on Tuesday, the company stated that users of Windows 11, version 24H2, "are not affected by the observed exploitation, even if the vulnerability was present.”

Windows CLFS Zero-Day CVE-2025-29824 Exploited by Ransomware Group Storm-2460

 

A newly disclosed Windows zero-day vulnerability, tracked as CVE-2025-29824, is being actively exploited in cyberattacks to deliver ransomware, Microsoft has warned. This flaw affects the Windows Common Log File System (CLFS) driver and enables local privilege escalation—a method often used by attackers after gaining initial access. 

Microsoft’s Threat Intelligence and Security Response teams revealed that the bug is classified as a “use-after-free” vulnerability with a severity score of 7.8. While attackers need to compromise a system before they can exploit this flaw, it remains highly valuable in ransomware operations. Cybercriminals often rely on these types of vulnerabilities to turn a limited foothold into full administrative control across networks. 

The cybercrime group currently leveraging this zero-day is known as Storm-2460. Microsoft reports that the group is using the exploit to deploy a custom backdoor named PipeMagic, which in turn facilitates the installation of RansomEXX ransomware—a variant not commonly observed but still capable of serious disruption. So far, Storm-2460 has targeted organizations in industries such as IT, finance, and retail, with victims located in countries including the United States, Spain, Saudi Arabia, and Venezuela. 

Microsoft emphasized that the number of known cases remains small, but the sophistication of the exploit is concerning. This attack is notable for being part of a “post-compromise” campaign, meaning the attacker already has a presence within the system before using the flaw. These types of exploits are frequently used to escalate privileges and move laterally within a network, eventually leading to broader ransomware deployment. Microsoft issued a security advisory for CVE-2025-29824 on April 8 and urged organizations to install updates immediately. Failure to do so could leave critical systems vulnerable to privilege escalation and full network compromise. 

To mitigate risk, Microsoft advises businesses to prioritize patch management, restrict unnecessary administrative privileges, and closely monitor for unusual behavior across endpoints. Cybersecurity teams are also encouraged to review logs for any indicators of compromise related to PipeMagic or RansomEXX. As ransomware tactics continue to evolve, the exploitation of vulnerabilities like CVE-2025-29824 reinforces the need for proactive defense strategies and rapid incident response protocols.

New Sec-Gemini v1 from Google Outperforms Cybersecurity Rivals

 


A cutting-edge artificial intelligence model developed by Google called Sec-Gemini v1, a version of Sec-Gemini that integrates advanced language processing, real-time threat intelligence, and enhanced cybersecurity operations, has just been released. With the help of Google's proprietary Gemini large language model and dynamic security data and tools, this innovative solution utilizes its capabilities seamlessly to enhance security operations. 

A new AI model, Sec-Gemini v1 that combines sophisticated reasoning with real-time cybersecurity insights and tools has been released by Google. This integration makes the model extremely capable of performing essential security functions like threat detection, vulnerability assessment, and incident analysis. A key part of Google's effort to support progress across the broader security landscape is its initiative to provide free access to Sec-Gemini v1 to select institutions, professionals, non-profit organizations, and academic institutions to promote a collaborative approach to security research. 

Due to its integration with Google Threat Intelligence (GTI), the Open Source Vulnerabilities (OSV) database, and other key data sources, Sec-Gemini v1 stands out as a unique solution. On the CTI-MCQ threat intelligence benchmark and the CTI-Root Cause Mapping benchmark, it outperforms peer models by at least 11%, respectively. Using the CWE taxonomy, this benchmark assesses the model's ability to analyze and classify vulnerabilities.

One of its strongest features is accurately identifying and describing the threat actors it encounters. Because of its connection to Mandiant Threat Intelligence, it can recognize Salt Typhoon as a known adversary, which is a powerful feature. There is no doubt that the model performs better than its competitors based on independent benchmarks. According to a report from Security Gemini v1, compared to comparable AI systems, Sec-Gemini v1 scored at least 11 per cent higher on CTI-MCQ, a key metric used to assess threat intelligence capabilities. 

Additionally, it achieved a 10.5 per cent edge over its competitors in the CTI-Root Cause Mapping benchmark, a test that assesses the effectiveness of an AI model in interpreting vulnerability descriptions and classifying them by the Common Weakness Enumeration framework, an industry standard. It is through this advancement that Google is extending its leadership position in artificial intelligence-powered cybersecurity, by providing organizations with a powerful tool to detect, interpret, and respond to evolving threats more quickly and accurately. 

It is believed that Sec-Gemini v1 has the strength to be able to perform complex cybersecurity tasks efficiently, according to Google. Aside from conducting in-depth investigations, analyzing emerging threats, and assessing the impact of known vulnerabilities, you are also responsible for performing comprehensive incident investigations. In addition to accelerating decision-making processes and strengthening organization security postures, the model utilizes contextual knowledge in conjunction with technical insights to accomplish the objective. 

Though several technology giants are actively developing AI-powered cybersecurity solutions—such as Microsoft's Security Copilot, developed with OpenAI, and Amazon's GuardDuty, which utilizes machine learning to monitor cloud environments—Google appears to have carved out an advantage in this field through its Sec-Gemini v1 technology. 

A key reason for this edge is the fact that it is deeply integrated with proprietary threat intelligence sources like Google Threat Intelligence and Mandiant, as well as its remarkable performance on industry benchmarks. In an increasingly competitive field, these technical strengths place it at the top of the list as a standout solution. Despite the scepticism surrounding the practical value of artificial intelligence in cybersecurity - often dismissed as little more than enhanced assistants that still require a lot of human interaction - Google insists that Sec-Gemini v1 is fundamentally different from other artificial intelligence models out there. 

The model is geared towards delivering highly contextual, actionable intelligence rather than simply summarizing alerts or making basic recommendations. Moreover, this technology not only facilitates faster decision-making but also reduces the cognitive load of security analysts. As a result, teams can respond more quickly to emerging threats in a more efficient way. At present, Sec-Gemini v1 is being made available exclusively as a research tool, with access being granted only to a select set of professionals, academic institutions, and non-profit organizations that are willing to share their findings. 

There have been early signs that the model will make a significant contribution to the evolution of AI-driven threat defence, as evidenced by the model's use-case demonstrations and early results. It will introduce a new era of proactive cyber risk identification, contextualization, and mitigation by enabling the use of advanced language models. 

In real-world evaluations, the Google security team demonstrated Sec-Gemini v1's advanced analytical capabilities by correctly identifying Salt Typhoon, a recognized threat actor, with its accurate analytical capabilities. As well as providing in-depth contextual insights, the model provided in-depth contextual information, including vulnerability details, potential exploitation techniques, and associated risk levels. This level of nuanced understanding is possible because Mandiant's threat intelligence provides a rich repository of real-time threat data as well as adversary profiles that can be accessed in real time. 

The integration of Sec-Gemini v1 into other systems allows Sec-Gemini v1 to go beyond conventional pattern recognition, allowing it to provide more timely threat analysis and faster, evidence-based decision-making. To foster collaboration and accelerate model refinement, Google has offered limited access to Sec-Gemini v1 to a carefully selected group of cybersecurity practitioners, academics, and non-profit organizations to foster collaboration. 

To avoid a broader commercial rollout, Google wishes to gather feedback from trusted users. This will not only ensure that the model is more reliable and capable of scaling across different use cases but also ensure that it is developed in a responsible and community-led manner. During practical demonstrations, Google's security team demonstrated Sec-Gemini v1's ability to identify Salt Typhoon, an internationally recognized threat actor, with high accuracy, as well as to provide rich contextual information, such as vulnerabilities, attack patterns and potential risk exposures associated with this threat actor. 

Through its integration with Mandiant's threat intelligence, which enhances the model's ability to understand evolving threat landscapes, this level of precision and depth can be achieved. The Sec-Gemini v1 software, which is being made available for free to a select group of cybersecurity professionals, academic institutions, and nonprofit organizations, for research, is part of Google's commitment to responsible innovation and industry collaboration. 

Before a broader deployment of this model occurs, this initiative will be designed to gather feedback, validate use cases, and ensure that it is effective across diverse environments. Sec-Gemini v1 represents an important step forward in integrating artificial intelligence into cybersecurity. Google's enthusiasm for advancing this technology while ensuring its responsible development underscores the company's role as a pioneer in the field. 

Providing early, research-focused access to Sec-Gemini v1 not only fosters collaboration within the cybersecurity community but also ensures that Sec-Gemini v1 will evolve in response to collective expertise and real-world feedback, as Google offers this model to the community at the same time. Sec-Gemini v1 has demonstrated remarkable performance across industry benchmarks as well as its ability to detect and mitigate complex threats, so it may be able to change the face of threat defense strategies in the future. 

The advanced reasoning capabilities of Sec-Gemini v1 are coupled with cutting-edge threat intelligence, which can accelerate decision-making, cut response times, and improve organizational security. However, while Sec-Gemini v1 shows great promise, it is still in the research phase and awaiting wider commercial deployment. Using such a phased approach, it is possible to refine the model carefully, ensuring that it adheres to the high standards that are required by various environments. 

For this reason, it is very important that stakeholders, such as cybersecurity experts, researchers, and industry professionals, provide valuable feedback during the first phase of the model development process, to ensure that the model's capabilities are aligned with real-world scenarios and needs. This proactive stance by Google in engaging the community emphasizes the importance of integrating AI responsibly into cybersecurity. 

This is not solely about advancing the technology, but also about establishing a collaborative framework that can make it easier to detect and respond to emerging cyber threats more effectively, more quickly, and more securely. The real issue is the evolution of Sec-Gemini version 1, which may turn out to be one of the most important tools for safeguarding critical systems and infrastructure around the globe in the future.

Lazarus Gang Targets Job Seekers to Install Malware

Lazarus Gang Targets Job Seekers to Install Malware

North Korean hackers responsible for Contagious Interview are trapping job seekers in the cryptocurrency sector by using the popular ClickFix social-engineering attack strategy. They aimed to deploy a Go-based backdoor— earlier undocumented— known as GolangGhost on Windows and macOS systems. 

Hackers lure job seekers

The latest attack, potentially a part of a larger campaign, goes by the codename ClickFake Interview, according to French cybersecurity company Sekoia. Aka DeceptiveDeployment, DEV#POPPER, and Famoys Chollima; Contagious Interview has been active since December 2022, however, it was publicly reported only after late 2023. 

The attack uses legitimate job interview sites to promote the ClickFix tactic and deploy Windows and MacOS backdoors, said Sekoia experts Amaury G., Coline Chavane, and Felix Aimé, attributing the attack to the notorious Lazarus Group. 

Lazarus involved

One major highlight of the campaign is that it mainly attacks centralized finance businesses by mimicking firms like Kraken, Circle BlockFi, Coinbase, KuCoin, Robinhood, Tether, and Bybit. Traditionally, Lazarus targeted decentralized finance (DeFi) entities. 

Attack tactic explained

Like Operation Dream Job, Contagious Interview also uses fake job offers as traps to lure potential victims and trick them into downloading malware to steal sensitive data and cryptocurrency. The victims are approached via LinkedIn or X to schedule a video interview and asked to download malware-laced video conference software that triggers the infection process. 

Finding of Lazarus ClickFix attack

Security expert Tayloar Monahan first reported the Lazarus Group’s use of ClickFix in late 2022, saying the attack chains led to the installment of a malware strain called FERRET that delivered the Golang backdoor. In this malware campaign, the victims are prompted to use a video interview, ‘Willow,’ and do a sell video assessment. 

The whole process is carefully built to gain users and “proceeds smoothly until the user is asked to enable their camera,” Sekoia said. At this stage, an “error message appears, indicating that the user needs to download a driver to fix the issue. This is where the operator employs the ClickFix technique," adds Sekoia. 

Different attack tactics for Windows and MacOS users

The prompts given to victims may vary depending on the OS. For Windows, victims are asked to open the Command Prompt and run a curl command to perform a Visual Basic Script (VBS) file to launch a basic script to run GolanGhost. MacOS victims are prompted to open the Terminal app and perform a curl command to run a malicious shell script, which then runs another shell script that runs a stealer module called FROSTYFERRET—aka ChromwUpdateAlert— and the backdoor.