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Source RiskIQ.webp RiskIQ
Identifiant 8482834
Date de publication 2024-04-15 15:15:00 (vue: 2024-04-15 16:07:46)
Titre Faits saillants hebdomadaires, 15 avril 2024
Weekly OSINT Highlights, 15 April 2024
Texte ## Snapshot Last week\'s OSINT reporting reveals a landscape of diverse cyber threats characterized by sophisticated attack tactics and adaptable threat actors. One key trend was the increasing use of artificial intelligence (AI) by cybercriminals, including AI-powered malvertising on social media platforms and suspected LLM-generated content in a malware campaign targeting German organizations. Additionally, several OSINT articles reported on the trend of exploiting popular platforms like YouTube and GitHub to distribute malware. Threat actors demonstrate a keen understanding of user behavior, leveraging enticing content and fake webpages to lure victims into downloading malicious payloads, highlighting the importance of proactive defense strategies to mitigate evolving threats effectively. ## Description 1. **[German Organizations Targeted with Rhadamanthys Malware](https://security.microsoft.com/intel-explorer/articles/119bde85):** Proofpoint identifies TA547 launching an email campaign targeting German organizations with Rhadamanthys malware, representing a shift in techniques for the threat actor. The campaign involves impersonating a German retail company in emails containing password-protected ZIP files containing LNK files triggering PowerShell scripts to load Rhadamanthys into memory, bypassing disk writing. The incorporation of suspected LLM-generated content into the attack chain provides insight into how threat actors are leveraging LLM-generated content in malware campaigns. 2. **[Russian-Language Cybercrime Operation Leveraging Fake Web3 Gaming Projects](https://security.microsoft.com/intel-explorer/articles/0cdc08b5):** The Insikt Group uncovers a large-scale Russian-language cybercrime operation distributing infostealer malware through fake Web3 gaming projects targeting both macOS and Windows users. Threat actors entice users with the potential for cryptocurrency earnings, distributing malware like Atomic macOS Stealer (AMOS), Stealc, Rhadamanthys, or RisePro upon visiting imitation Web3 gaming projects\' webpages. 3. **[AI-Powered Malvertising Campaigns on Social Media](https://security.microsoft.com/intel-explorer/articles/1e1b0868):** Bitdefender discusses the use of artificial intelligence (AI) by cybercriminals in malvertising campaigns on social media platforms, impersonating popular AI software to distribute stealers like Rilide, Vidar, IceRAT, and Nova Stealer. These campaigns target European users through fake AI software webpages on Facebook, organized by taking over existing accounts and boosting page popularity through engaging content. 4. **[Exploitation of YouTube Channels for Infostealer Distribution](https://security.microsoft.com/intel-explorer/articles/e9f5e219):** AhnLab identifies a trend where threat actors exploit YouTube channels to distribute Infostealers like Vidar and LummaC2, disguising them as cracked versions of legitimate software. Attackers hijack popular channels with hundreds of thousands of subscribers, distributing malicious links through video descriptions and comments, highlighting concerns about the potential reach and impact of distributed malware. 5. **[VenomRAT Distribution via Phishing Email with Malicious SVG Files](https://security.microsoft.com/intel-explorer/articles/98d69c76):** FortiGuard Labs reveals a threat actor distributing VenomRAT and other plugins through phishing emails containing malicious Scalable Vector Graphics (SVG) files. The email attachment downloads a ZIP file containing an obfuscated Batch file, subsequently loading VenomRAT using ScrubCrypt to maintain a connection with a command and control (C2) server and install plugins on victims\' environments. 6. **[Malware Distribution through GitHub Repositories Manipulation](https://security.microsoft.com/intel-explorer/articles/4d0ffb2c):** Checkmarx reports a cybercriminal attack campaign manipulating GitHub\'s search functionality to distribute malware through repositories. Attackers create repositories with popular names and topics, hiding malicious code withi
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