IBM's AI Bob vulnerable to malware manipulation

IBM's artificial intelligence tool, known as Bob, has been found susceptible to manipulation that could lead to downloading and executing malware. Researchers highlight its vulnerability to indirect prompt injection attacks. The findings were reported by TechRadar on January 9, 2026.

Security experts have identified a significant vulnerability in IBM's AI system called Bob, which could allow attackers to manipulate it into downloading and executing malicious software. According to a TechRadar article published on January 9, 2026, this flaw makes Bob particularly prone to indirect prompt injection, a technique where harmful instructions are embedded in seemingly innocuous inputs.

The report underscores the risks associated with AI tools in handling potentially dangerous tasks, such as interacting with external systems or processing user commands. While specific details on how the manipulation occurs were not elaborated in the available information, the potential for malware execution raises concerns about the security of enterprise AI deployments.

IBM has not yet issued a public response to these findings, but the vulnerability highlights ongoing challenges in securing AI models against sophisticated attacks. As AI adoption grows, such issues emphasize the need for robust safeguards to prevent exploitation.

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Illustration of a hacker using AI to swiftly build VoidLink malware targeting Linux cloud servers, featuring rapid code generation and infiltrated systems.
በ AI የተሰራ ምስል

AI-assisted VoidLink malware framework targets Linux cloud servers

በAI የተዘገበ በ AI የተሰራ ምስል

Researchers at Check Point have revealed that VoidLink, a sophisticated Linux malware targeting cloud servers, was largely built by a single developer using AI tools. The framework, which includes over 30 modular plugins for long-term system access, reached 88,000 lines of code in under a week despite plans suggesting a 20-30 week timeline. This development highlights AI's potential to accelerate advanced malware creation.

Security firm Varonis has identified a new method for prompt injection attacks targeting Microsoft Copilot, allowing compromise of users with just one click. This vulnerability highlights ongoing risks in AI systems. Details emerged in a recent TechRadar report.

በAI የተዘገበ

Google has introduced new defenses against prompt injection in its Chrome browser. The update features an AI system designed to monitor the activities of other AIs.

A CNET commentary argues that describing AI as having human-like qualities such as souls or confessions misleads the public and erodes trust in the technology. It highlights how companies like OpenAI and Anthropic use such language, which obscures real issues like bias and safety. The piece calls for more precise terminology to foster accurate understanding.

በAI የተዘገበ

Launched in late January, Moltbook has quickly become a hub for AI agents to interact autonomously, attracting 1.5 million users by early February. While bots on the platform have developed communities and even a parody religion, experts highlight significant security risks including unsecured credentials. Observers debate whether these behaviors signal true AI emergence or mere mimicry of human patterns.

Some users of AI chatbots from Google and OpenAI are generating deepfake images that alter photos of fully clothed women to show them in bikinis. These modifications often occur without the women's consent, and instructions for the process are shared among users. The activity highlights risks in generative AI tools.

በAI የተዘገበ

Cybersecurity experts warn that hackers are leveraging large language models (LLMs) to create sophisticated phishing attacks. These AI tools enable the generation of phishing pages on the spot, potentially making scams more dynamic and harder to detect. The trend highlights evolving threats in digital security.

 

 

 

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