Open Source Intelligence | Breaking Cybersecurity News | The Hacker News

Security researchers at Trustwave have released a new open-source tool that uses facial recognition technology to locate targets across numerous social media networks on a large scale. Dubbed Social Mapper, the facial recognition tool automatically searches for targets across eight social media platforms, including—Facebook, Instagram, Twitter, LinkedIn, Google+, the Russian social networking site VKontakte, and China's Weibo and Douban—based on their names and pictures. The tool's creators claim they developed Social Mapper intelligence-gathering tool predominantly to help pen testers and red teamers with social engineering attacks. Although the searches of names and pictures can already be performed manually, Social Mapper makes it possible to automate such scans far faster and "on a mass scale with hundreds or thousands of individuals" at once. "Performing intelligence gathering online is a time-consuming process, it typically starts by attempting to

Most of the readers have question in mind that, How hackers know everything about their target ? How to DOX (finding personal information) someone ? So answer is --  Open Source Intelligence (OSINT). A Patriot Hacker ' The Jester ' (or "th3j35t3r") who made his name after harassing Anonymous activist group, disrupting WikiLeaks and stalking "jihadist" sites has finally list his all time favorite Open Source Intelligence (OSINT) toolset. Open Source intelligence (OSINT) is a form of intelligence collection management that involves finding, selecting, and acquiring information from publicly available sources and analyzing it to produce actionable intelligence. Hacker posted list of some free available tools on his blog , includes Maltego, Creepy, Spokeo, CaseFile, FoxOne Scanner (Jester's Edition). OSINT is defined by both the U.S. Director of National Intelligence and the U.S. Department of Defense, as " produced from publicly available information that is coll

Identities now transcend human boundaries. Within each line of code and every API call lies a non-human identity. These entities act as programmatic access keys, enabling authentication and facilitating interactions among systems and services, which are essential for every API call, database query, or storage account access. As we depend on multi-factor authentication and passwords to safeguard human identities, a pressing question arises: How do we guarantee the security and integrity of these non-human counterparts? How do we authenticate, authorize, and regulate access for entities devoid of life but crucial for the functioning of critical systems? Let's break it down. The challenge Imagine a cloud-native application as a bustling metropolis of tiny neighborhoods known as microservices, all neatly packed into containers. These microservices function akin to diligent worker bees, each diligently performing its designated task, be it processing data, verifying credentials, or