Sighting is an endless topic of discussion. This is a required feature especially when information or indicators are regularly shared to gather feedback from users said shared data. Adequate sightings can be an incredible source of information in order to describe the life-time of an indicator, its evolution and especially to ensure the understanding of indicators among a group of users using the information to detect, mitigate or block malicious activities in their infrastructures. The potential is endless, potentially being a significant gain for organised communities of infosec professionals sharing information or even serve as a requirement for advanced algorithms ranging from machine learning to reinforcement learning. But to reach such a state of a feedback loop, you first require a functional model of sighting.
Here at the MISP project, we are practical oriented people. We create software (from MISP core to MISP workbench), develop data models (such as taxonomies, warning-lists and galaxies) and build practical standards to solve information sharing challenges and improve the general state of information sharing. That’s what we strive for. If we lack something, we build it. If we see a requirement, we fullfil it.