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The Trend Micro Underground Series

01 de julio de 2025

Over the years, Trend Micro researchers have published articles and research papers that detail different criminal underground communities around the world. Read about their motives, ecosystems, business models, and techniques to anticipate and proactively counter threats before they strike.

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The Road to Agentic AI: Defining a New Paradigm for Technology and Cybersecurity
18 de junio de 2025
Our latest research provides a framework for understanding agentic AI systems, outlines their core characteristics, and examines the security implications surrounding their use.
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Stay Ahead of AI Threats: Secure LLM Applications with Trend Vision One
12 de junio de 2025
Trend Vision One™ tackles 7 of OWASP’s Top 10 LLM vulnerabilities, offering comprehensive protection against prompt injection, data leakage, AI supply chain risks, and other critical flaws.
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Slopsquatting: When AI Agents Hallucinate Malicious Packages
05 de junio de 2025
Our research examines how AI coding assistants can hallucinate plausible but non-existent package names—therefore enabling slopsquatting attacks—while also providing practical defense strategies that organizations can implement to secure their development pipelines
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Unveiling AI Agent Vulnerabilities Part V: Securing LLM Services
28 de mayo de 2025
To conclude our series on agentic AI, this article examines emerging vulnerabilities that threaten AI agents, focusing on providing proactive security recommendations on areas such as code execution, data exfiltration, and database access.
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The Rise of Residential Proxies as a Cybercrime Enabler
27 de mayo de 2025
This research discusses how residential proxies help cybercriminals bypass antifraud and IT security systems, and how vulnerabilities in the IoT supply chain are exploited where Android-based devices are shipped pre-infected.
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Unveiling AI Agent Vulnerabilities Part IV: Database Access Vulnerabilities
21 de mayo de 2025
How can attackers exploit weaknesses in database-enabled AI agents? This research explores how SQL generation vulnerabilities, stored prompt injection, and vector store poisoning can be weaponized by attackers for fraudulent activities.
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Unveiling AI Agent Vulnerabilities Part III: Data Exfiltration
13 de mayo de 2025
In the third part of our series we demonstrate how risk intensifies in multi-modal AI agents, where hidden instructions embedded within innocuous-looking images or documents can trigger sensitive data exfiltration without any user interaction.
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Unveiling AI Agent Vulnerabilities Part II: Code Execution
05 de mayo de 2025
Our research examines vulnerabilities that affect Large Language Model (LLM) powered agents with code execution, document upload, and internet access capabilities. This is the second part of a series diving into the critical vulnerabilities in AI agents.
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Unveiling AI Agent Vulnerabilities Part I: Introduction to AI Agent Vulnerabilities
22 de abril de 2025
This introductory post kicks off a blog series on AI agent vulnerabilities, outlining key security risks like prompt injection and code execution, and sets the stage for future parts, which will dive deeper into issues such as code execution flaws, data exfiltration, and database access threats.
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Páginas:
1
2
3
4
5
6
7
8
9
...
56

Últimos artículos

The Trend Micro Underground Series

The Road to Agentic AI: Defining a New Paradigm for Technology and Cybersecurity

Stay Ahead of AI Threats: Secure LLM Applications with Trend Vision One

Slopsquatting: When AI Agents Hallucinate Malicious Packages

Unveiling AI Agent Vulnerabilities Part V: Securing LLM Services

The Rise of Residential Proxies as a Cybercrime Enabler

Unveiling AI Agent Vulnerabilities Part IV: Database Access Vulnerabilities

Unveiling AI Agent Vulnerabilities Part III: Data Exfiltration

Unveiling AI Agent Vulnerabilities Part II: Code Execution

Unveiling AI Agent Vulnerabilities Part I: Introduction to AI Agent Vulnerabilities

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