A security researcher wants to look for new and emerging malware on unindexed and hidden locations on the Internet. What should the security researcher use to look?

The deep web refers to parts of the Internet that are not indexed by standard search engines, making it a valuable resource for researchers looking for new and emerging malware. While the surface web is where most users conduct their searches and find accessible information, the deep web holds a wealth of data that is often overlooked, including databases, private information, and other hidden resources that may harbor illicit or malicious content, like malware.

Using the deep web enables a researcher to navigate through forums, dark web markets, and private networks where such malware might be shared or sold, thus allowing for increased visibility into emerging threats. This resource is crucial for cybersecurity professionals who aim to stay ahead of potential risks by identifying harmful software before it gains traction on the broader web.

Although feeds can provide timely information about security threats, they typically rely on known sources and indexed data. Open Source Intelligence (OSINT), while valuable for gathering information from publicly available resources, does not specifically focus on the hidden and unindexed parts of the Internet. Human Intelligence (HUMINT) involves gathering information through interpersonal contacts rather than direct data sources, which may be useful but does not specifically target malware exploration on hidden platforms. Therefore, the deep web is the most pertinent resource for the researcher’s needs in uncover