Research examines attack methods, defenses, and vulnerabilities, helping security teams understand risks and improve protection.
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Background for this topic.
Research is the systematic study of technologies, systems, attack methods, vulnerabilities, and defensive techniques to establish evidence and produce new findings. In information security, it includes work such as discovering flaws in software or protocols, analyzing malware and attacker behavior, testing cryptographic designs, and evaluating security controls. News under this tag may describe a proof of concept, a measurement study, or a proposed technique rather than a confirmed real-world attack.
For practitioners, research can change how risks are prioritized and mitigated. A demonstrated vulnerability may require vulnerability-management teams to verify affected assets, apply fixes, or add compensating controls; responsible disclosure gives developers time to assess and remediate before technical details enable exploitation. Research involving live systems, personal data, or offensive tooling also raises privacy, authorization, dual-use, and ethical concerns. Sound findings should state their assumptions, scope, limitations, and reproducibility, since laboratory results do not automatically show that an attack is practical in every environment.
Cybersecurity researchers have found a number of GitHub repositories offering cracked software that are used to deliver an information stealer called RisePro
A group of researchers has discovered a new data leakage attack impacting modern CPU architectures supporting speculative execution
Cybersecurity researchers have found that third-party plugins available for OpenAI ChatGPT could act as a new attack surface for threat actors looking to gain unauthorized access to sensitive data
Details have been made public about a now-patched high-severity flaw in Kubernetes that could allow a malicious attacker to achieve remote code execution with elevated privileges under specific circumstances
Google's Gemini large language model (LLM) is susceptible to security threats that could cause it to divulge system prompts, generate harmful content, and carry out indirect injection attacks