패치 전에 두 가지 중요한 PHP 결함이 누출되었습니다. 조직이 지금 해야 할 일.
Chrome installs a 4.27 GB AI model on qualifying desktops without asking. Once it's there, any HTTPS website the user visits can run it with no consent prompt, no usage indicator, and no rate limit.
In autumn 2026, companies and other organizations in Japan reported a succession of data leaks from their web systems. The Japanese government’s National Cybersecurity Office issued an alert to businesses on October 9, and the chair of the ruling party’s cybersecurity headquarters described cyberspace as being in a “state of emergency.”
The number of security incidents publicly disclosed in Japan surged from September 2026. This article reviews incidents disclosed from January through September and explains what the data reveals.
TrendAI™ incident response teams have recently investigated multiple attacks on public-facing web servers and databases. This article explains the hardening measures organizations should implement now to protect their web servers.
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
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.
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.
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.
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.
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.
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.
We dive into one of the most sophisticated and impactful ecosystems within the global cybercrime landscape. Our research looks at tools and techniques, specialized forums, popular services, plus a deeply ingrained culture of secrecy and collaboration.
Stolen certificates and private keys could be weaponized by cybercriminals to penetrate a company’s system. Our research investigates how these scenarios would play out, how they affect the organizations, and how to prevent such attacks.
Social engineering is a tactic that, at its core, creates a false narrative to exploit a victim’s credulity, greed, curiosity, or any other very human characteristics. Attackers continue to enhance existing social engineering and use new technologies.
2026년 11월 5일 
6 min read