VoidStealer is an emerging infostealer that employs a novel debugger-based Application-Bound Encryption (ABE) bypass technique. This method leverages hardware breakpoints to extract the v20_master_key directly from browser memory, requiring neither privilege escalation nor code injection. The technique involves attaching to the browser process as a debugger, setting breakpoints at strategic locations, and extracting the key when it's briefly present in plaintext. This approach offers a lower detection footprint compared to alternative bypass methods. The blog post dissects the technique step-by-step, from locating the target address for breakpoint placement to extracting the key. It also provides detection strategies for defenders, focusing on monitoring debugger attachments and suspicious browser memory reads.
A recent cybercrime campaign uses compromised WordPress websites to distribute the Vidar infostealer malware to Windows users. The attack employs fake CAPTCHA pages that trick victims into running malicious commands. The infection chain involves an HTA script, which downloads and executes a malicious MSI installer. This installer then deploys a GoLang loader that ultimately decrypts and loads the Vidar infostealer into memory. The campaign targets users in multiple countries, including Italy, France, the United States, the United Kingdom, and Brazil. The attackers inject malicious code into WordPress sites, which filters visitors and displays the fake CAPTCHA page to Windows desktop users.
A deceptive website impersonating CleanMyMac tricks users into installing SHub Stealer, a sophisticated macOS malware. The malware steals sensitive data, including passwords, browser data, cryptocurrency wallets, and Telegram sessions. It can also modify wallet apps to steal recovery phrases. The attack begins with users pasting a command into Terminal, which downloads and executes a malicious script. The malware performs extensive data collection from various browsers and wallet applications, and installs persistent backdoors in certain crypto wallet apps. SHub Stealer is part of a growing family of AppleScript-based macOS infostealers, demonstrating increasing sophistication in targeting Mac users.
A malware campaign targeting macOS users uses typosquatted domains impersonating the Homebrew package manager to trick victims into executing malicious commands. The attack delivers Cuckoo Stealer, a credential harvester that establishes persistence, bypasses Gatekeeper, and exfiltrates sensitive data including browser credentials and cryptocurrency wallets.
Arkanix Stealer, a newly discovered malware operating under a Malware-as-a-Service model, targets a wide range of user data including cryptocurrencies, gaming, and online banking information. The stealer, available in both Python and C++ versions, offers configurable features and employs various techniques to evade detection. It can extract data from multiple browsers, VPNs, and gaming platforms, as well as capture screenshots and RDP connection details. The malware authors promoted their product through a Discord server and implemented a referral program to attract customers. The campaign appears to have been short-lived, with infrastructure taken down around December 2025.
Infostealer threats are expanding beyond Windows, targeting macOS and leveraging cross-platform languages like Python. Recent campaigns use social engineering to deploy macOS-specific infostealers such as DigitStealer, MacSync, and AMOS. These stealers use fileless execution and native macOS utilities to harvest credentials and sensitive data. Python-based stealers are also on the rise, allowing attackers to quickly adapt and target diverse environments. Additionally, threat actors are abusing trusted platforms like WhatsApp and PDF converter tools to distribute malware such as Eternidade Stealer. These evolving threats blend into legitimate ecosystems and evade conventional defenses, posing significant risks to organizations across various operating systems and delivery channels.
An active infostealer campaign is targeting macOS and Windows users across various sectors. The threat actors are using SEO poisoning to direct victims to fake GitHub repositories impersonating legitimate tools like PagerDuty. The campaign involves over 20 malicious repositories active since September 2025. The attack flow begins with a Google search, leading to a fraudulent GitHub repository, then to a GitHub Pages site with a deceptive command. This command deploys the MacSync stealer in three stages: a loader, a dropper, and the final payload. MacSync aggressively harvests credentials from browsers, cloud services, and cryptocurrency wallets. The campaign's scale includes 39 identified malicious repositories, with 24 still active as of January 2026. Evasion tactics include using 'readme-only' repositories and distributed identities.
MacSync is a sophisticated macOS infostealer that targets cryptocurrency users. It is delivered through a phishing lure disguised as a cloud storage installer, tricking users into executing a malicious Terminal command. The malware employs a multi-stage infection process, using a script-based approach to harvest browser credentials, cryptocurrency wallet data, and sensitive files. A key feature of MacSync is its ability to trojanize popular Electron-based cryptocurrency applications like Ledger and Trezor, enabling long-term phishing and data exfiltration. The malware's infrastructure includes multiple rotating C2 domains and clone sites, indicating an ongoing and evolving campaign. MacSync's focus on cryptocurrency-related data and its stealthy, script-based execution make it particularly dangerous for macOS users in the crypto community.
This analysis examines Infostealer malware trends during December 2025, focusing on distribution methods, volume, and disguising techniques. Key findings include the prevalence of ACRStealer, LummaC2, and Stealc Infostealers, with malware primarily distributed through SEO poisoning and compromised legitimate websites. The report highlights two significant trends: the abuse of Python scripts for malware distribution and the emergence of cryptocurrency-stealing malware using Tor. Distribution methods evolved from direct blog posts to leveraging legitimate websites and forums. The analysis also notes a shift in malware execution methods, with 65.8% distributed as EXE files and 34.2% using DLL Sideloading techniques. The report emphasizes the importance of vigilance against these evolving threats and provides detailed insights into the malware's behavior and infrastructure.
ASEC discovered Guloader malware being distributed through phishing emails masquerading as employee performance reports. The emails, claiming to be about October 2025 performance, contain a RAR file with an NSIS executable named 'staff record pdf.exe'. This file is actually Guloader malware, which downloads and executes shellcode from a Google Drive URL. The final payload is Remcos RAT, enabling threat actors to perform various malicious remote control activities, including keylogging, screenshot capture, webcam and microphone control, and browser data extraction. The attackers are increasingly using legitimate platforms as C2 servers, making detection more challenging. Users are advised to exercise caution when opening emails from unknown sources and to change passwords regularly to prevent secondary damage.
The VVS Discord Stealer is a Python-based malware designed to exfiltrate sensitive Discord user data including credentials and tokens. It uses Pyarmor with BCC mode and AES-128-CTR encryption to heavily obfuscate its code, evading detection by static and dynamic analysis tools. The malware decrypts encrypted Discord tokens, queries Discord APIs for user information, injects malicious JavaScript into the Discord client to intercept active sessions, and extracts data from multiple web browsers. It achieves persistence by configuring itself to run at system startup and deceives victims by displaying a fake error message. While no known exploits or CVEs are reported, its capabilities pose a medium severity threat. The stealer primarily targets Windows environments where Discord and browsers are installed and relies on user interaction, likely via social engineering. European organizations with significant Discord usage, especially in technology, gaming, media, and education sectors, face risks of credential theft, unauthorized access, data leakage, and operational disruption. Detection requires behavioral and heuristic analysis due to strong obfuscation techniques.
Between December 19-22, 2025, EmEditor's official website suffered a security breach, causing the main download button to serve malicious software. The fake installer, signed by WALSHAM INVESTMENTS LIMITED, contained infostealer malware targeting login credentials, browser history, and VPN settings. It specifically targeted technical staff and government offices, stealing files and installing a fraudulent browser extension for remote control and cryptocurrency address swapping. Users who downloaded during this period are advised to check the digital signature, delete suspicious files, and change stored passwords. Emurasoft is investigating the incident and has apologized for the inconvenience.
A recently analyzed multi-stage macOS infostealer malware has been identified, highlighting a complex attack targeting macOS users. This malware operates in multiple stages to evade detection and exfiltrate sensitive information from infected systems. Although no known exploits are currently active in the wild, the threat poses a medium severity risk due to its potential to compromise confidentiality. European organizations using macOS devices should be aware of this threat, especially those in sectors with high-value data. Mitigation requires enhanced endpoint monitoring, restricting execution of unknown binaries, and user education on phishing and suspicious downloads. Countries with significant macOS market share and advanced tech sectors, such as Germany, the UK, France, and the Nordics, are more likely to be targeted. Given the malware’s complexity and potential impact on data confidentiality without requiring user interaction post-infection, the suggested severity is medium. Defenders should prioritize detection capabilities for multi-stage macOS malware and implement strict application control policies.
MacSync Stealer malware has evolved from using drag-to-terminal and ClickFix techniques to a more sophisticated approach. The new variant is delivered as a code-signed and notarized Swift application within a disk image, eliminating the need for direct terminal interaction. The malware retrieves an encoded script from a remote server and executes it via a Swift-built helper executable. The installer is signed with Developer Team ID GNJLS3UYZ4 and contains decoy files to inflate its size. The malware performs various checks, including internet connectivity and execution timing, before downloading and executing the second-stage payload. This evolution reflects a broader trend in macOS malware, where attackers attempt to bypass security measures by using signed and notarized executables.
A new malware distribution campaign utilizing compromised YouTube accounts to spread infostealers has been identified. The campaign employs GachiLoader, a heavily obfuscated Node.js loader, to deploy the Rhadamanthys infostealer. GachiLoader implements anti-analysis techniques and uses a novel PE injection method called Vectored Overloading. To aid analysis, researchers developed an open-source Node.js tracer tool. The campaign has affected over 100 videos with 220,000 views across 39 compromised accounts since December 2024. The malware evades detection, elevates privileges, and disables Windows Defender before retrieving its payload.
A new campaign involving the ClickFix malware is spreading a macOS infostealer by abusing the ChatGPT chat-sharing feature to post malicious user guides on the official ChatGPT website. This technique leverages social engineering by embedding harmful content within seemingly legitimate shared chats, potentially tricking users into downloading and executing the infostealer. Although no known exploits in the wild have been reported yet, the threat is considered high severity due to the sensitive data targeted and the innovative attack vector. European organizations using macOS devices are at risk, especially those with employees who frequently use ChatGPT and may be exposed to these malicious shared chats. The attack impacts confidentiality by stealing sensitive information and could lead to broader compromise if credentials or tokens are exfiltrated. Mitigation requires monitoring and restricting the use of chat-sharing features, educating users about the risks of downloading files from untrusted shared chats, and deploying endpoint detection solutions tailored for macOS. Countries with high macOS adoption and significant tech sector presence, such as Germany, the UK, France, and the Nordics, are more likely to be affected. Given the ease of exploitation via social engineering and the potential for significant data theft, the suggested severity is high.
A North Korean state-sponsored hacker's device was found infected with the LummaC2 infostealer malware, linking it to the massive $1.4 billion breach of the ByBit cryptocurrency exchange. LummaC2 is an advanced infostealer capable of harvesting sensitive data such as credentials and cryptographic keys, facilitating large-scale cyber theft. This incident highlights the use of sophisticated malware by nation-state actors targeting cryptocurrency platforms. The breach underscores significant risks to financial institutions and digital asset custodians, especially those with exposure to cryptocurrency markets. European organizations involved in cryptocurrency trading, blockchain technology, or financial services could be targeted or impacted by similar tactics. Mitigation requires enhanced endpoint detection, network monitoring for C2 communications, and strict credential management. Countries with strong cryptocurrency markets and financial hubs, such as the UK, Germany, and the Netherlands, are most likely to be affected. Given the high financial impact, ease of exploitation via malware infection, and the involvement of a state actor, the threat severity is assessed as high. Defenders should prioritize detection of LummaC2 indicators and strengthen defenses around cryptocurrency-related infrastructure.
A sophisticated social engineering campaign exploits Microsoft Teams' 'Chat with Anyone' feature to impersonate IT support and trick users into initiating Quick Assist sessions. This multi-stage attack involves phishing, malware deployment (notably an infostealer named 'updater.exe'), and reconnaissance to steal credentials and potentially exfiltrate data. The threat actors leverage legitimate collaboration tools to bypass traditional security controls. Organizations are advised to disable the vulnerable Teams feature, enforce multi-factor authentication, and adopt Zero Trust principles to mitigate risks. No CVSS score is assigned, but the attack poses a medium severity risk due to its credential theft focus and social engineering complexity.
Arkanix Stealer is a newly discovered information-stealing malware designed for short-term financial gain. Initially developed in Python, it has evolved into a more sophisticated C++ version employing VMProtect obfuscation and a technique called 'Chrome Elevator' to bypass App Bound Encryption. It targets browsers, crypto wallets, VPN accounts, Steam accounts, and system information. Distributed primarily via Discord and online forums disguised as legitimate tools, it offers threat actors a web panel with premium features for managing stolen data. The malware demonstrates advanced capabilities and rapid evolution, highlighting the ease of launching cybercrime operations for quick profits. While no known exploits in the wild have been reported yet, its medium severity reflects the potential impact on confidentiality and financial assets. European organizations using targeted browsers, crypto wallets, or VPN services are at risk, especially those with users active on Discord or similar platforms. Mitigation requires targeted detection of obfuscated binaries, network monitoring for suspicious domains like arkanix.pw, and user education on social engineering risks. Countries with high crypto adoption and active gaming communities are more likely to be affected.
The Lumma infostealer is a sophisticated malware distributed as Malware-as-a-Service, targeting Windows systems. It primarily steals sensitive data such as browser credentials, cryptocurrency wallets, and VPN/RDP accounts. Lumma is often used in the initial stages of multi-vector attacks, including ransomware and network breaches. The malware is distributed through phishing sites, disguised as pirated software, and uses complex techniques like NSIS packaging, AutoIt scripts, and process hollowing to evade detection. To combat this threat, organizations should implement behavior-based detection systems and integrate threat intelligence into their security strategies.
