Phoenix IT

Category: Application Development

OBSCURE#BAT Malware Uses Fake CAPTCHA Pages to Deploy Rootkit r77 and Evade Detection

OBSCURE#BAT Malware Uses Fake CAPTCHA Pages to Deploy Rootkit r77 and Evade Detection

A new malware campaign has been observed leveraging social engineering tactics to deliver an open-source rootkit called r77. The activity, condemned OBSCURE#BAT by Securonix, enables threat actors to establish persistence and evade detection on compromised systems. It’s currently not known who is behind the campaign. The rootkit “has the ability to cloak or mask any file, registry key

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Mozilla Updates Firefox Terms Again After Backlash Over Broad Data License Language

Mozilla Updates Firefox Terms Again After Backlash Over Broad Data License Language

Firefox browser maker Mozilla on Friday updated its Terms of Use a second time within a week following criticism overbroad language that appeared to give the company the rights to all information uploaded by users. The revised Terms of Use now states – You give Mozilla the rights necessary to operate Firefox. This includes processing your data as we describe

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Microsoft Exposes LLMjacking Cybercriminals Behind Azure AI Abuse Scheme

Microsoft Exposes LLMjacking Cybercriminals Behind Azure AI Abuse Scheme

Microsoft on Thursday unmasked four of the individuals that it said were behind an Azure Abuse Enterprise scheme that involves leveraging unauthorized access to generative artificial intelligence (GenAI) services in order to produce offensive and harmful content. The campaign, called LLMjacking, has targeted various AI offerings, including Microsoft’s Azure OpenAI Service. The tech giant is

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12,000+ API Keys and Passwords Found in Public Datasets Used for LLM Training

12,000+ API Keys and Passwords Found in Public Datasets Used for LLM Training

A dataset used to train large language models (LLMs) has been found to contain nearly 12,000 live secrets, which allow for successful authentication. The findings once again highlight how hard-coded credentials pose a severe security risk to users and organizations alike, not to mention compounding the problem when LLMs end up suggesting insecure coding practices

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