DEV-0139 launches targeted attacks against the cryptocurrency industry

Credit to Author: Katie McCafferty| Date: Tue, 06 Dec 2022 17:00:00 +0000

Over the past several years, the cryptocurrency market has considerably expanded, gaining the interest of investors and threat actors. Cryptocurrency itself has been used by cybercriminals for their operations, notably for ransom payment in ransomware attacks, but we have also observed threat actors directly targeting organizations within the cryptocurrency industry for financial gain. Attacks targeting this market have taken many forms, including fraud, vulnerability exploitation, fake applications, and usage of info stealers, as attackers attempt to get their hands on cryptocurrency funds.

We are also seeing more complex attacks wherein the threat actor shows great knowledge and preparation, taking steps to gain their target’s trust before deploying payloads. For example, Microsoft recently investigated an attack where the threat actor, tracked as DEV-0139, took advantage of Telegram chat groups to target cryptocurrency investment companies. DEV-0139 joined Telegram groups used to facilitate communication between VIP clients and cryptocurrency exchange platforms and identified their target from among the members. The threat actor posed as representatives of another cryptocurrency investment company, and in October 2022 invited the target to a different chat group and pretended to ask for feedback on the fee structure used by cryptocurrency exchange platforms. The threat actor had a broader knowledge of this specific part of the industry, indicating that they were well prepared and aware of the current challenge the targeted companies may have.

After gaining the target’s trust, DEV-0139 then sent a weaponized Excel file with the name OKX Binance & Huobi VIP fee comparision.xls which contained several tables about fee structures among cryptocurrency exchange companies. The data in the document was likely accurate to increase their credibility. This weaponized Excel file initiates the following series of activities:

1. A malicious macro in the weaponized Excel file abuses UserForm of VBA to obfuscate the code and retrieve some data.
2. The malicious macro drops another Excel sheet embedded in the form and executes it in invisible mode. The said Excel sheet is encoded in base64, and dropped into C:ProgramDataMicrosoft Media with the name VSDB688.tmp
3. The file VSDB688.tmp downloads a PNG file containing three executables: a legitimate Windows file named logagent.exe, a malicious version of the DLL wsock32.dll, and an XOR encoded backdoor.
4. The file logagent.exe is used to sideload the malicious wsock32.dll, which acts as a DLL proxy to the legitimate wsock32.dll. The malicious DLL file is used to load and decrypt the XOR encoded backdoor that lets the threat actor remotely access the infected system.

Further investigation through our telemetry led to the discovery of another file that uses the same DLL proxying technique. But instead of a malicious Excel file, it is delivered in an MSI package for a CryptoDashboardV2 application, dated June 2022. This may suggest other related campaigns are also run by the same threat actor, using the same techniques.

In this blog post, we will present the details uncovered from our investigation of the attack against a cryptocurrency investment company, as well as analysis of related files, to help similar organizations understand this kind of threat, and prepare for possible attacks. Researchers at Volexity recently published their findings on this attack as well.

As with any observed nation state actor activity, Microsoft directly notifies customers that have been targeted or compromised, providing them with the information they need to secure their accounts. Microsoft uses DEV-#### designations as a temporary name given to an unknown, emerging, or a developing cluster of threat activity, allowing Microsoft Threat Intelligence Center (MSTIC) to track it as a unique set of information until we reach a high confidence about the origin or identity of the actor behind the activity. Once it meets the criteria, a DEV is converted to a named actor.

Initial compromise

To identify the targets, the threat actor sought out members of cryptocurrency investment groups on Telegram. In the specific attack, DEV-0139 got in touch with their target on October 19, 2022 by creating a secondary Telegram group with the name <NameOfTheTargetedCompany> <> OKX Fee Adjustment and inviting three employees. The threat actor created fake profiles using details from employees of the company OKX. The screenshot below shows the real accounts and the malicious ones for two of the users present in the group.

It’s worth noting that the threat actor appears to have a broad knowledge of the cryptocurrency industry and the challenges the targeted company may face. The threat actor asked questions about fee structures, which are the fees used by crypto exchange platforms for trading. The fees are a big challenge for investment funds as they represent a cost and must be optimized to minimize impact on margin and profits. Like many other companies in this industry, the largest costs come from fees charged by exchanges. This is a very specific topic that demonstrates how the threat actor was advanced and well prepared before contacting their target.

After gaining the trust of the target, the threat actor sent a weaponized Excel document to the target containing further details on the fees to appear legitimate. The threat actor used the fee structure discussion as an opportunity to ask the target to open the weaponized Excel file and fill in their information.

Weaponized Excel file analysis

The weaponized Excel file, which has the file name OKX Binance & Huobi VIP fee comparision.xls (Sha256: abca3253c003af67113f83df2242a7078d5224870b619489015e4fde060acad0), is well crafted and contains legitimate information about the current fees used by some crypto exchanges. The metadata extracted showed that the file was created by the user Wolf:

The macro is obfuscated and abuses UserForm (a feature used to create windows) to store data and variables. In this case, the name of the UserForm is IFUZYDTTOP, and the macro retrieves the information with the following code IFUZYDTTOP.MgQnQVGb.Caption where MgQnQVGb is the name of the label in the UserForm and .caption allows to retrieve the information stored into the UserForm.

The table below shows the data retrieved from the UserForm:

The macro retrieves some parameters from the UserForm as well as another XLS file stored in base64. The XLS file is dropped into the directory C:ProgramDataMicrosoft Media as VSDB688.tmp and runs in invisible mode.

Additionally, the main sheet in the Excel file is protected with the password dragon to encourage the target to enable the macros. The sheet is then unprotected after installing and running the other Excel file stored in Base64. This is likely used to trick the user to enable macros and not raise suspicion.

Extracted worksheet

The second Excel file, VSDB688.tmp (Sha256: a2d3c41e6812044573a939a51a22d659ec32aea00c26c1a2fdf7466f5c7e1ee9), is used to retrieve a PNG file that is parsed later by the macro to extract two executable files and the encrypted backdoor. Below is the metadata for the second worksheet:

The table below shows the deobfuscated data retrieved from the UserForm:

The macro retrieves some parameters from the UserForm then downloads a PNG file from hxxps://od.lk/d/d021d412be456a6f78a0052a1f0e3557dcfa14bf25f9d0f1d0d2d7dcdac86c73/Background.png. The file was no longer available at the time of analysis, indicating that the threat actor likely deployed it only for this specific attack.

The PNG is then split into three parts and written in three different files: the legitimate file logagent.exe, a malicious version of wsock32.dll, and the XOR encrypted backdoor with the GUID (56762eb9-411c-4842-9530-9922c46ba2da). The three files are used to load the main payload to the target system.

Loader analysis

Two of the three files extracted from the PNG file, logagent.exe and wsock32.dll, are used to load the XOR encrypted backdoor. The following sections present our in-depth analysis of both files.

Logagent.exe

Logagent.exe (Hash: 8400f2674892cdfff27b0dfe98a2a77673ce5e76b06438ac6110f0d768459942) is a legitimate system application used to log errors from Windows Media Player and send the information for troubleshooting.

The file contains the following metadata, but it is not signed:

The logagent.exe imports function from the wsock32.dll which is abused by the threat actor to load malicious code into the targeted system. To trigger and run the malicious wsock32.dll, logagent.exe is run with the following arguments previously retrieved by the macro: 56762eb9-411c-4842-9530-9922c46ba2da /shadow. Both arguments are then retrieved by wsock32.dll. The GUID 56762eb9-411c-4842-9530-9922c46ba2da is the filename for the malicious wsock32.dll to load and /shadow is used as an XOR key to decrypt it. Both parameters are needed for the malware to function, potentially hindering isolated analysis.

Wsock32.dll

The legitimate wsock32.dll is the Windows Socket API used by applications to handle network connections. In this attack, the threat actor used a malicious version of wsock32.dll to evade detection. The malicious wsock32.dll is loaded by logagent.exe through DLL side-loading and uses DLL proxying to call the legitimate functions from the real wsock32.dll and avoid detection. DLL proxying is a hijacking technique where a malicious DLL sits in between the application calling the exported function and a legitimate DLL that implements that exported function. In this attack, the malicious wsock32.dll acts as a proxy between logagent.exe and the legitimate wsock32.dll.

It is possible to notice that the DLL is forwarding the call to the legitimate functions by looking at the import address table:

When the malicious wsock32.dll is loaded, it first retrieves the command line, and checks if the file with the GUID as a filename is present in the same directory using the CreateFile API to retrieve a file handle.

The malicious wsock32.dll loads and decodes the final implant into the memory with the GUID name which is used to remote access the infected machine.

Once the file is loaded into the memory, it gives remote access to the threat actor. At the time of the analysis, we could not retrieve the final payload. However, we identified another variant of this attack and retrieved the payload, which is discussed in the next section. Identified implants were connecting back to the same command-and-control (C2) server.

Related attack

We identified another file using a similar mechanism as logagent.exe and delivering the same payload. The loader is packaged as an MSI package and as posed an application called CryptoDashboardV2 (Hash: e5980e18319027f0c28cd2f581e75e755a0dace72f10748852ba5f63a0c99487). After installing the MSI, it uses a legitimate application called tplink.exe to sideload the malicious DLL called DUser.dll and uses  DLL proxying as well.

Once the package is installed, it runs and side-loads the DLL using the following command: C:UsersuserAppDataRoamingDashboard_v2TPLink.exe” 27E57D84-4310-4825-AB22-743C78B8F3AA /sven, where it noticeably uses a different GUID.

Further analysis of the malicious DUser.dll showed that its original name is also HijackingLib.dll, same as the malicious wsock32.dll. This could indicate the usage of the same tool to create these malicious DLL proxies. Below are the file details of DUser.dll:

Once the DLL is running, it loads and decodes the implant in the memory and starts beaconing the same domain. In that case, the implant is using the GUID name 27E57D84-4310-4825-AB22-743C78B8F3AA and the XOR key /sven.

Implant analysis

The payload decoded in the memory by the malicious DLL is an implant used by the threat actor to remotely access the compromised machine. We were able to get the one from the second variant we uncovered. Below are the details of the payload:

First, the sample retrieves some information from the targeted system. It can connect back to a remote server and receive commands from it.

Infrastructure

It is interesting to notice that the threat actor abused OpenDrive in one of the variants to deliver the payload. The OpenDrive account has been set up quickly for a one shot, indicating that it was created for only one target.

We identified one domain used as C2 server, strainservice[.]com and connected back to the two implants. This domain was registered on June 26 on Namecheap, just before the distribution of the first variant. At the time of the attack, the server had port 80, 443, and 2083. The implants were communicated on port 443.

Defending against targeted attacks

In this report we analyzed a targeted attack on cryptocurrency investment fund startups. Such companies are relatively new, but manage hundreds of millions of dollars, raising interest by threat actors.   

In this attack we identified that the threat actor has broad knowledge of the cryptocurrency industry as well as the challenges their targets may face, increasing the sophistication of the attack and their chance of success. The threat actor used Telegram, an app widely used in the field, to identify the profile of interest, gained the target’s trust by discussing relevant topics, and finally sent a weaponized document that delivered a backdoor through multiple mechanisms. Additionally, the second attack identified was luring a fake crypto dashboard application.

The cryptocurrency market remains a field of interest for threat actors. Targeted users are identified through trusted channels to increase the chance of success. While the biggest companies can be targeted, smaller companies can also be targets of interest. The techniques used by the actor covered in this blog can be mitigated by adopting the security considerations provided below:

• Use the included indicators of compromise to investigate whether they exist in your environment and assess for potential intrusion.
• Educate end users about protecting personal and business information in social media, filtering unsolicited communication (in this case, Telegram chat groups), identifying lures in spear-phishing email and watering holes, and reporting of reconnaissance attempts and other suspicious activity.
• Educate end users about preventing malware infections, such as ignoring or deleting unsolicited and unexpected emails or attachments sent via instant messaging applications or social networks. Encourage end users to practice good credential hygiene and make sure the Microsoft Defender Firewall (which is enabled by default) is always on to prevent malware infection and stifle propagation.
• Change Excel macro security settings to control which macros run and under what circumstances when you open a workbook. Customers can also stop malicious XLM or VBA macros by ensuring runtime macro scanning by Antimalware Scan Interface (AMSI) is on. This feature—enabled by default—is on if the Group Policy setting for Macro Run Time Scan Scope is set to “Enable for All Files” or “Enable for Low Trust Files”.
• Turn on attack surface reduction rules to prevent common attack techniques observed in this threat:
  • Block Office applications from creating executable content
  • Block Office communication application from creating child processes
  • Block Win32 API calls from Office macros
• Ensure that Microsoft Defender Antivirus is up to date and that real-time behavior monitoring is enabled.

Detection details

Microsoft Defender Antivirus

Microsoft Defender Antivirus detects threat components as the following malware:

• TrojanDownloader:O97M/Wolfic.A
• TrojanDownloader:O97M/Wolfic.B
• TrojanDownloader:O97M/Wolfic.C
• TrojanDownloader:Win32/Wolfic.D
• TrojanDownloader:Win32/Wolfic.E
• Behavior:Win32/WolficDownloader.A
• Behavior:Win32/WolficDownloader.B

Microsoft Defender for Endpoint

Alerts with the following titles in the security center can indicate threat activity on your network:

• An executable loaded an unexpected dll
• DLL search order hijack
• ‘Wolfic’ malware was prevented

Advanced hunting queries

The following hunting queries locate relevant activity.

Query that looks for Office apps that create a file within one of the known bad directories:

DeviceFileEvents | where InitiatingProcessFileName has_any ("word", "excel", "access", "outlook" "powerpnt") | where ActionType == "FileCreated" | where parse_path( FolderPath ).DirectoryPath has_any(     @"C:ProgramDataMicrosoft Media",     @"C:ProgramDataSoftwareCache",     @"RoamingDashboard_v2"     ) | project Timestamp, DeviceName, FolderPath, InitiatingProcessFileName, SHA256, InitiatingProcessAccountName, InitiatingProcessAccountDomain 

Query that looks for Office apps that create a file within an uncommon directory (less that five occurrences), makes a set of each machine this is seen on, and each user that has executed it to help look for how many users/hosts are compromised:

DeviceFileEvents | where InitiatingProcessFileName has_any ("word", "excel", "access", "outlook", "powerpnt") | where ActionType == "FileCreated" | extend Path = tostring(parse_path(FolderPath).DirectoryPath) | summarize PathCount=count(), DeviceList=make_set(DeviceName), AccountList=make_set(InitiatingProcessAccountName) by FileName, Path, InitiatingProcessFileName, SHA256 | where PathCount < 5 

Query that summarizes child process of Office apps, looking for less than five occurrences:

DeviceProcessEvents | where InitiatingProcessFileName has_any ("word", "excel", "access", "powerpnt") | summarize ProcessCount=count(), DeviceList=make_set(DeviceName), AccountList=make_set(InitiatingProcessAccountName) by FileName, FolderPath, SHA256, InitiatingProcessFileName | where ProcessCount < 5 

Query that lists of all executables with Microsoft as ProcessVersionInfoCompanyName, groups them together by path, then looks for uncommon paths, with less than five occurrences:

DeviceProcessEvents | where ProcessVersionInfoCompanyName has "Microsoft" | extend Path = tostring(parse_path(FolderPath).DirectoryPath) | summarize ProcessList=make_set(FileName) by Path | where array_length( ProcessList ) < 5 

Query that searches for connections to malicious domains and IP addresses:

DeviceNetworkEvents | where (RemoteUrl has_any ("strainservice.com"))       or (RemoteIP has_any ("198.54.115.248")) 

Query that searches for files downloaded from malicious domains and IP addresses.

DeviceFileEvents | where (FileOriginUrl  has_any ("strainservice.com"))       or (FileOriginIP  has_any ("198.54.115.248")) 

Query that searchers for Office apps downloading files from uncommon domains, groups users, filenames, and devices together:

DeviceFileEvents | where InitiatingProcessFileName has_any ("word", "excel", "access", "powerpnt") | where ActionType == "FileCreated" | where isnotempty( FileOriginUrl ) or isnotempty( FileOriginIP ) | summarize DomainCount=count(), UserList=make_set(InitiatingProcessAccountName), DeviceList=make_set(DeviceName),     FileList=make_set(FileName) by FileOriginUrl, FileOriginIP, InitiatingProcessFileName 

Looks for downloaded files with uncommon file extensions, groups remote IPs, URLs, filenames, users, and devices:

DeviceFileEvents | where InitiatingProcessFileName has_any ("word", "excel", "access", "powerpnt", "outlook") | where ActionType == "FileCreated" | where isnotempty( FileOriginUrl ) or isnotempty( FileOriginIP ) | extend Extension=tostring(parse_path(FolderPath).Extension) | extend  Path=tostring(parse_path(FolderPath).DirectoryPath) | summarize ExtensionCount=count(), IpList=make_set(FileOriginIP), UrlList=make_set(FileOriginUrl), FileList=make_set(FileName),     UserList=make_set(InitiatingProcessAccountName), DeviceList=make_set(DeviceName) by Extension, InitiatingProcessFileName 

Looks for Office apps that have child processes that match the GUID command line, with a check for Microsoft binaries to reduce the results before the regex:

DeviceProcessEvents | where InitiatingProcessFileName has_any ("word", "excel", "access", "powerpnt") | where ProcessVersionInfoCompanyName has "Microsoft" | where ProcessCommandLine matches regex      @"[A-Za-z0-9]+.exe [A-Za-z0-9]{8}-[A-Za-z0-9]{4}-[A-Za-z0-9]{4}-[A-Za-z0-9]{4}-[A-Za-z0-9]{12} /[A-Za-z0-9]$" 

Microsoft Sentinel

Microsoft Sentinel customers can use the TI Mapping analytic to automatically match the malicious IP and domain indicators mentioned in this blog post with data in their workspace. If the TI Map analytics are not currently deployed, customers can install the Threat Intelligence solution from the Microsoft Sentinel Content Hub to have the analytics rule deployed in their Sentinel workspace. More details on the Content Hub can be found here:  https://learn.microsoft.com/azure/sentinel/sentinel-solutions-deploy

To supplement this indicator matching customers can use the Advanced Hunting queries listed above against Microsoft 365 Defender data ingested into their workspaces as well as the following Microsoft Sentinel queries:

• Least common parent and child process pairs: https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/Windows%20Security%20Events/Hunting%20Queries/Least_Common_Parent_Child_Process.yaml

• Detect anomalous process trees: https://github.com/Azure/Azure-Sentinel/blob/46906229919827bffa14211341f52dd68e27ad81/Hunting%20Queries/Microsoft%20365%20Defender/Execution/detect-anomalous-process-trees.yaml

Indicators of compromise

MITRE ATT&CK techniques

The post DEV-0139 launches targeted attacks against the cryptocurrency industry appeared first on Microsoft Security Blog.

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