- An efficient IOC and indicators database allowing to store technical and non-technical information about malware samples, incidents, attackers and intelligence.
- Automatic correlation finding relationships between attributes and indicators from malware, attacks campaigns or analysis.
- A flexible data model where complex objects can be expressed and linked together to express threat intelligence, incidents or connected elements.
- Built-in sharing functionality to ease data sharing using different model of distributions. MISP can synchronize automatically events and attributes among different MISP. Advanced filtering functionalities can be used to meet each organization sharing policy including a flexible sharing group capacity and an attribute level distribution mechanisms.
- An intuitive user-interface for end-users to create, update and collaborate on events and attributes/indicators. A graphical interface to navigate seamlessly between events and their correlations. Advanced filtering functionalities and warning list to help the analysts to contribute events and attributes.
- storing data in a structured format (allowing automated use of the database for various purposes) with an extensive support of cyber security indicators along fraud indicators as in the financial sector.
- export: generating IDS, OpenIOC, plain text, CSV, MISP XML or JSON output to integrate with other systems (network IDS, host IDS, custom tools)
- import: bulk-import, batch-import, free-text import, import from OpenIOC, GFI sandbox, ThreatConnect CSV or MISP format.
- Flexible free text import tool to ease the integration of unstructured reports into MISP.
- A gentle system to collaborate on events and attributes allowing MISP users to propose changes or updates to attributes/indicators.
- data-sharing: automatically exchange and synchronization with other parties and trust-groups using MISP.
- feed import: flexible tool to import and integrate MISP feed and any threatintel or OSINT feed from third parties. Many default feeds are included in standard MISP installation.
- delegating of sharing: allows a simple pseudo-anonymous mechanism to delegate publication of event/indicators to another organization.
- Flexible API to integrate MISP with your own solutions. MISP is bundled with PyMISP which is a flexible Python Library to fetch, add or update events attributes, handle malware samples or search for attributes.
- Adjustable taxonomy to classify and tag events following your own classification schemes or existing taxonomies. The taxonomy can be local to your MISP but also shareable among MISP instances.
- Intelligence vocabularies called MISP galaxy and bundled with existing threat actors, malware, RAT, ransomware or MITRE ATT&CK which can be easily linked with events in MISP.
- Expansion modules in Python to expand MISP with your own services or activate already available misp-modules.
- Sighting support to get observations from organizations concerning shared indicators and attributes. Sighting can be contributed via MISP user-interface, API as MISP document or STIX sighting documents. Starting with MISP 2.4.66, Sighting has been extended to support false-negative sighting or expiration sighting.
- STIX support: export data in the STIX format (XML and JSON).
- Integrated encryption and signing of the notifications via PGP and/or S/MIME depending of the user preferences.
Sharing with humans
Data you store is immediately available to your colleagues and partners. Store the event id in your ticketing system or be informed by the signed and encrypted email notifications.
Sharing with machines
By generating Snort/Suricata IDS rules, STIX, OpenIOC, text or csv exports MISP allows you to automatically import data in your detection systems resulting in better and faster detection of intrusions.
Importing data can also be done in various ways: free-text import, OpenIOC, batch import, sandbox result import (Joe Sandbox and GFI SandBox) or using the preconfigured or custom templates.
If you run MISP internally, data can also be uploaded and downloaded automagically from and to externally hosted MISP instances. Thanks to this automation and the effort of others you are now in possession of valuable indicators of compromise with no additional work.
Collaborative sharing of analysis and correlation
How often has your team analyzed to realise at the end that a colleague had already worked on another, similar, sample? Or that an external report has already been made?
When new data is added MISP will immediately show relations with other observables and indicators. This results in more efficient analysis, but also allows you to have a better picture of the TTPs, related campaigns and attribution.
The discussion feature will also enable conversations between multiple analysts resulting in win-win for everyone.