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DeepSeek, a Chinese AI chatbot, garnered attention for its impressive performance and open-source approach. However, its rapid rise sparked security concerns regarding data transfer practices. Researchers discovered that the iOS application transmits user data unencrypted to servers controlled by ByteDance.

Recent research suggests that OpenAI’s models, while powerful, are susceptible to “jailbreaks” or “fine-tuning” that can override their safety restrictions. This means that models designed for benign tasks can be trained to produce responses with malicious intent. The findings highlight an important vulnerability in current AI safety mechanisms and raise concerns about the potential for misaligned behavior from AI systems in real-world applications.

A critical vulnerability, CVE-2024-50050, exists in Meta’s Llama framework, a widely used tool for building generative AI applications. This flaw stems from unsafe deserialization of Python objects via the pickle module, allowing remote attackers to execute arbitrary code on affected servers. This vulnerability highlights the risk of insecure deserialization in AI systems.

A new malicious AI chatbot, GhostGPT, is being advertised on underground forums as a tool for creating malware, executing BEC attacks, and other cybercrimes. This tool lowers the barrier for less-skilled hackers to launch attacks, which is very concerning. GhostGPT is an uncensored AI chatbot which does not have any ethical safeguards which can be found in similar AI tools, and it provides unrestricted responses to malicious queries.

This is one of the first use cases of a malicious AI chatbot being used in cyber crime, and is an indicator of things to come. This new frontier in AI is a major concern.

DeepSeek AI has suffered a significant data exposure incident, revealing over one million log lines and sensitive data. The exposed database included user data and chat histories, raising serious privacy concerns. This incident highlights the security risks associated with large AI models and the need for robust data protection measures. The exposure is likely due to misconfigured or insufficiently secured databases and infrastructure.

CyTwist has launched an advanced security solution that uses a patented detection engine designed to identify AI-driven cyber threats, including AI-generated malware, within minutes. The solution aims to address the rapidly evolving cybersecurity landscape where attackers increasingly leverage AI to create more sophisticated and evasive threats. The technology focuses on threat detection and is designed to be efficient against advanced AI-enhanced attacks.

Multiple reports highlight the growing threat of supply chain attacks using large language models (LLMs). Attackers are increasingly using stolen credentials to jailbreak existing LLMs for spear phishing and social engineering campaigns. This evolution poses significant risks to organizations relying on software and services provided via supply chains, and new security measures are needed to mitigate these threats.

DeepSeek is a large language model that has generated significant discussion due to its capabilities and security concerns. The model’s performance has been praised by some, while others have raised concerns about its potential for misuse due to its ability to generate harmful content. The model’s efficiency and capabilities challenge traditional assumptions about the resources needed for advanced AI. Its potential to be used for malicious purposes necessitates a discussion of its security implications.