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Research examines attack methods, defenses, and vulnerabilities, helping security teams understand risks and improve protection.

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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.

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Defrauding search with custom malware, Potato-family exploits A new China-aligned cybercrime crew named GhostRedirector has compromised at least 65 Windows servers worldwide - spotted in a June internet scan - using previously undocumented malware to juice gambling sites' rankings in Google search, according to ESET researchers.…

‘Universities are being used to proxy offensive government operations, turning research access decisions political’ Censys Inc, vendor of the popular Censys internet-mapping tool, has revealed that state-based actors are trying to abuse its services by hiding behind academic researchers.…

Trust and believe – AI models trained to see 'legal' doc as super legit Researchers at security firm Pangea have discovered yet another way to trivially trick large language models (LLMs) into ignoring their guardrails. Stick your adversarial instructions somewhere in a legal document to give them an air of unearned legitimacy – a trick familiar to lawyers the world over.…