Beware: Lumma Stealer Distributed via Discord CDN

October 16, 2023 TH Author Trend Micro Research : Articles, News, Reports, Trend Micro Research : Exploits&Vulnerabilities, Trend Micro Research : Malware, Trend Micro Research : Research

Beware Lumma Stealer Distributed via Discord CDN

Cyber Threats

This blog discusses how threat actors abuse Discord’s content delivery network (CDN) to host and spread Lumma Stealer, and talks about added capabilities to the information stealing malware.

By: Carl Malipot October 16, 2023 Read time: ( words)

Our latest investigation revealed that threat actors are now delivering an information-stealing malware called Lumma Stealer via Discord, a popular chat platform for online gamers, content creators, and streamers. We’ve observed that malicious actors are abusing Discord’s content delivery network (CDN) to host and spread Lumma Stealer, while also using the social platform’s application programming interface (API) to create bots that can communicate with the malware and control it remotely. Some of these bots also send stolen data to private Discord servers or channels.

Lumma Stealer, which is written in the C programming language and steals user credentials, is one of the latest malware families to have been distributed by threat actors via Discord’s CDN. This infostealer was first detected in August 2022, and earlier this year, it was reported that Lumma Stealer operators targeted YouTube users via spear-phishing emails.

Currently, Lumma Stealer is being sold as a service in underground forums with prices starting at USD$250 per month. The lowest plan allows users to view and upload logs and provides access to log analysis tools, while the professional plan has the same set of features plus access to traffic analysis tools. The corporate plan, which costs four times as much as the cheapest one, includes proactive defense bypass services. Lastly, at US$20,000, the most expensive plan allows users to access the source code and gives them the right to sell the infostealer.

Figure 1. Lumma Stealer service plans available in underground forums

Technical analysis

Lumma Stealer operators typically use random Discord accounts to send direct messages to victims. Malicious actors also use compromised Discord accounts to target the compromised accounts’ connections. The attackers attempt to trick victims by seeking help for a project and offering US$10 or a Discord Nitro boost in exchange for the victims’ assistance. Nitro boosts are part of the platform’s subscription-based Server Boosting that allows users to buy special perks and features for specific servers. These boosts serve as an attractive offer in exchange for the victims’ playing a game and providing a review for it, something that threat actors promise will only take four to five minutes of their time. If a victim agrees to the attacker’s offer, the victim would be prompted to download a file.

Figure 2. An example of a Discord direct message sent to would-be victims, prompting them to download and execute a file containing Lumma Stealer

In our investigation, we saw that the victim accessed the fraudulent Discord message via Google Chrome on a work computer. Upon selecting the malicious link, it triggered multiple downloads of the malicious file “4_iMagicInventory_1_2_s.exe” that contains the Lumma Stealer malware. 

Figure 3. The user accessed Discord via Google Chrome to download the malicious file “4_iMagicInventory_1_2_s.exe” that contains Lumma Stealer, as seen on the Trend Vision One™ Workbench.

Figure 4. The Lumma Stealer file was downloaded multiple times when the URL sent via the Discord direct message was accessed.

When executed, the file sample connects to a malicious domain, gapi-node[.]io, and tries to steal cryptocurrency wallets and browser data from the user.

Figure 5. Lumma Stealer looking for cryptocurrency wallets

Figure 6. Lumma Stealer looking for browser user data

The threat actors behind Lumma Stealer have shared in underground forums that the malware now has the capability to load other files, and based on our observation, these files lead to other malware. Lumma Stealer threat actors also announced that the malware has the ability to detect “bots” using artificial intelligence and deep learning to filter out fruitless infections from their affiliates’ logs. We presume that the term “bots” refers to researchers or analysis environments and emulators.

Figure 8. A post of an apparent Lumma Stealer reseller in an underground forum detailing the malware’s ability to load new files. The English translation of the update is seen on the lower left part of the image.

Figure 9. A post of an apparent Lumma Stealer reseller in an underground forum detailing how the malware uses deep learning for bot detection

In our investigation, we detected the latest version of Lumma Stealer malware.

Figure 10. Lumma Stealer execution as seen on the Trend Vision One Workbench

Conclusion and recommendations

Users should be careful when selecting links or downloading files from unknown sources, as they could be infected with Lumma Stealer or other malware. Users can also benefit from adhering to the following security recommendations to avoid falling victim to infostealers:

Users should be cautious of unexpected or unsolicited direct messages. Before opening any attachments or selecting links, users should first verify the sender’s identity. 
Use reliable antivirus software to scan and protect devices from malicious threats. 
Have an inventory of communication tools within your environment and consider adding unsanctioned tools to the Trend Vision One Suspicious Objects List. 
Organizations should ensure that their employees are trained to spot and avoid social engineering scams. Enterprises should conduct regular information security training sessions to help keep everyone informed and up to date.

Trend Micro solutions

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With Trend One™, businesses can enhance their resilience with round-the-clock premium support, managed XDR, and incident response services. This service includes automated updates and upgrades for solutions, on-demand training, access to best practice guides, and the ability to consult with cybersecurity experts. 

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Indicators of compromise

C&C: gapi-node[.]io 

SHA256: 674d96c42621a719007e64e40ad451550da30d42fd508f6104d7cb65f19cba51

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