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A widespread campaign is leveraging the MintsLoader malware loader to distribute secondary payloads, including the StealC information stealer and a legitimate open-source network computing platform called BOINC. MintsLoader, a PowerShell-based loader, is delivered via spam emails with malicious attachments. This campaign targets a wide range of users with the intent to steal sensitive information using Stealc, and also leveraging BOINC for other malicious purposes such as crypto mining and other resource abuse. The multi-pronged approach makes this campaign more versatile and dangerous.

Lumma is a sophisticated information stealer available as Malware-as-a-Service (MaaS) on Russian-speaking forums and Telegram. It targets Windows systems to steal credentials, cryptocurrency wallets, browser data, and 2FA details using various techniques to avoid detection. It offers tiered subscription plans with features such as binary morphing and server-side data decryption. The stealer is actively used in campaigns involving phishing, malvertising, and fake software updates targeting manufacturing, transportation, gamers, cracked software users, and crypto enthusiasts, making it a dominant force in the info-stealer market.

Mark Sokolovsky, the operator of the Raccoon Stealer malware-as-a-service (MaaS) operation, has been sentenced to five years in prison. Raccoon Stealer has been a significant malware platform since 2019, enabling cybercriminals to steal sensitive data. The sentencing highlights efforts to combat international cybercrime and bring perpetrators to justice. This should act as a deterrent to others involved in malware creation and distribution. The severity of the sentence is a clear sign that authorities take such operations very seriously.

A malicious PyPI package, ‘aiocpa’, disguised as a legitimate cryptocurrency client, was used to steal cryptocurrency wallet information. Attackers used a stealthy approach, publishing their own package instead of typosquatting. The malicious code was obfuscated using Base64 encoding and zlib compression; it exfiltrated sensitive data to a Telegram bot. This highlights the risk of malicious packages in software supply chains.

A malicious PyPI package, ‘aiocpa’, was discovered to be injecting infostealer code into cryptocurrency wallets. This highlights the risk of malicious code injection into open-source software repositories and the importance of dependency management. The malicious actors did not use typosquatting techniques, but published a legitimate-looking crypto client to attract users.

A malicious PyPI package, ‘aiocpa’, disguised as a legitimate cryptocurrency client tool, implanted infostealer code to compromise cryptocurrency wallets. The attackers used a stealthier approach, publishing their own tool rather than impersonating existing packages. This highlights the risks of using third-party open-source packages without proper security assessment and version pinning. Machine learning-based threat hunting proved crucial in detecting the malicious package.