OSINT (Open-Source Intelligence) is a technique that focuses on the collection, evaluation and analysis of public information through different methods and techniques, with the objective of discovering vulnerabilities or collecting sensitive information that could become threats.
It should be emphasized that the data collection is not called OSINT, it would be raw information. Once this information is evaluated and treated, it could be said that we are really talking about open-source intelligence (OSINT).
Initially it has been used in the military and government sector. Its use in OT, with disciplines such as SIGINT (Signals Intelligence), IMINT (Imagery Intelligence) or even 'Sock Puppets' (fake profiles or intruders in technical forums) is making havoc due to the criticality of this equipment. Disinformation or the compilation of sensitive industrial technical information are some of the serious consequences that this sector is exposed to.
The Avaddon ransomware appears as a disturbing threat that has demonstrated its ability to exploit vulnerabilities in systems, compromising the security and integrity of critical data.
This article dives into the details of how Avaddon works, while also providing a comprehensive analysis of strategies to detect and mitigate the threat.
The presence of Shadow IT, i.e., the unauthorized or unmanaged use of IT technologies and services by employees, poses challenges and risks of considerable magnitude.
The rapid adoption of personal devices and applications, as well as accessibility to cloud services, have increased the complexity of the security landscape. This situation poses a risk that can compromise the confidentiality and integrity of the organization's information.
This article introduces how ESXiArgs operates, and offers an approach to identifying and addressing the threat. Examining the characteristics and behaviours of ransomware, it provides detailed insight into the tactics it uses and how these can be detected in a vulnerable environment. It also explores strategies and best practices for cleaning and disinfecting compromised systems, restoring trust and security to the affected infrastructure.
With this study, we seek to offer a deep knowledge about the reconnaissance activity in cybersecurity, so that professionals from different fields can consider these tactics as an integral part of their security strategies. This study also aims to increase general understanding of these techniques and how they can be used to effectively protect information and systems.
The history of cybersecurity is marked by names that have left an indelible mark on the field of digital threats. Among them, Maze, Egregor and Sekhmet stand out as notable ransomware variants, whose similarities go beyond mere coincidence.
In this article, we will unravel the tactics these ransomwares employed, the encryption mechanisms they used, and the evasion and propagation strategies they employed. The review of these malware will offer us a deeper insight into the persistent threat of ransomware, as well as the importance and need to strengthen our cybersecurity posture.
At the end of 2019, the Ragnarok (or Asnarok) ransomware appeared leaving a trail of digital victims in its path. The malware not only encrypted the files and demanded a ransom, but also threatened to erase and publish the stolen data. This article offers an in-depth look at Ragnarok, from its design and motivation to its methods of infection and spread. In addition, it provides different methods of response and disinfection.
LockerGoga is a ransomware-type malware, first discovered in 2019, that infects computer systems, encrypts your files, and demands a ransom in cryptocurrencies in order to recover them. Unlike others, LockerGoga focuses on attacking businesses and government organizations. This article describes what it is and explains the relevant methods to respond to this threat
Currently, there is a constant evolution in the technologies and implementations made in Industrial Control Systems. On one hand, some of the most common implementations for the improvement of industrial systems infrastructures are digitalization and the use of cloud technology. On the other hand, the increase in communication protocols and IIoT devices (due to the growth of the Industry 4.0) generates a large volume of traffic that is difficult to control and secure.
En este estudio, se expone brevemente el origen y evolución de la amenaza ransomware LockBit 3.0, a través del análisis de varias muestras maliciosa, con el objetivo de facilitar la información necesaria para poder identificar las características propias de este malware, su comportamiento y técnicas empleadas, permitiendo así una mejor identificación y respuesta ante ella.