MILE                                                           C. Inacio
Internet-Draft                                                       CMU
Intended status: Informational                               D. Miyamoto
Expires: January 6, 2016                                          UTokyo
                                                            July 5, 2015

                       MILE Implementation Report


   This document is a collection of implementation reports from vendors,
   consortiums, and researchers who have implemented one or more of the
   standards published from the IETF INCident Handling (INCH) and
   Management Incident Lightweight Exchange (MILE) working groups.

Status of This Memo

   This Internet-Draft is submitted in full conformance with the
   provisions of BCP 78 and BCP 79.

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   This Internet-Draft will expire on January 6, 2016.

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Table of Contents

   1.  Introduction  . . . . . . . . . . . . . . . . . . . . . . . .   2
   2.  Consortiums and Information Sharing and Analysis Centers
       (ISACs) . . . . . . . . . . . . . . . . . . . . . . . . . . .   3
     2.1.  Anti-Phishing Working Group . . . . . . . . . . . . . . .   3
     2.2.  Advanced Cyber Defence Centre . . . . . . . . . . . . . .   3
     2.3.  Research and Education Networking Information Sharing and
           Analysis Center . . . . . . . . . . . . . . . . . . . . .   4
   3.  Open Source Implementations . . . . . . . . . . . . . . . . .   4
     3.1.  EMC/RSA RID Agent . . . . . . . . . . . . . . . . . . . .   4
     3.2.  NICT IODEF-SCI implementation . . . . . . . . . . . . . .   4
     3.3.  n6  . . . . . . . . . . . . . . . . . . . . . . . . . . .   5
   4.  Vendor Implementations  . . . . . . . . . . . . . . . . . . .   5
     4.1.  Deep Secure . . . . . . . . . . . . . . . . . . . . . . .   5
     4.2.  IncMan Suite, DFLabs  . . . . . . . . . . . . . . . . . .   6
     4.3.  Surevine Proof of Concept . . . . . . . . . . . . . . . .   7
     4.4.  MANTIS Cyber-Intelligence Management Framework  . . . . .   8
   5.  Vendors with Planned Support  . . . . . . . . . . . . . . . .   8
     5.1.  Threat Central, HP  . . . . . . . . . . . . . . . . . . .   8
   6.  Other Implementations . . . . . . . . . . . . . . . . . . . .   9
     6.1.  Collaborative Incident Management System  . . . . . . . .   9
     6.2.  Automated Incident Reporting - AirCERT  . . . . . . . . .   9
     6.3.  US Department of Energy CyberFed  . . . . . . . . . . . .  10
     6.4.  TrendMicro Sharing System . . . . . . . . . . . . . . . .  10
   7.  Implementation Guide  . . . . . . . . . . . . . . . . . . . .  10
     7.1.  Code Generators . . . . . . . . . . . . . . . . . . . . .  10
     7.2.  iodeflib  . . . . . . . . . . . . . . . . . . . . . . . .  12
     7.3.  iodefpm . . . . . . . . . . . . . . . . . . . . . . . . .  12
     7.4.  Usability . . . . . . . . . . . . . . . . . . . . . . . .  12
   8.  Acknowledgements  . . . . . . . . . . . . . . . . . . . . . .  13
   9.  IANA Considerations . . . . . . . . . . . . . . . . . . . . .  13
   10. Security Considerations . . . . . . . . . . . . . . . . . . .  13
   11. Informative References  . . . . . . . . . . . . . . . . . . .  13
   Authors' Addresses  . . . . . . . . . . . . . . . . . . . . . . .  14

1.  Introduction

   This document is a collection of implementation reports from vendors
   and researchers who have implemented one or more of the standards
   published from the INCH and MILE working groups.  The standards

   o  Incident Object Description Exchange Format (IODEF) v1, RFC5070,

   o  Incident Object Description Exchange Format (IODEF) v2,

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   o  Extensions to the IODEF-Document Class for Reporting Phishing,

   o  Sharing Transaction Fraud Data, RFC5941

   o  IODEF-extension for Structured Cybersecurity Information, RFCXXXX

   o  Real-time Inter-network Defense (RID), RFC6545

   o  Transport of Real-time Inter-network Defense (RID) Messages over
      HTTP/TLS, RFC6546.

   o  Incident Object Description Exchange Format (IODEF) Extension for
      Structured Cybersecurity Information, RFC7203

   The implementation reports included in this document have been
   provided by the team or product responsible for the implementations
   of the mentioned RFCs.  Additional submissions are welcome and should
   be sent to the draft editor.  A more complete list of
   implementations, including open source efforts and vendor products,
   can also be found at the following location:


2.  Consortiums and Information Sharing and Analysis Centers (ISACs)

2.1.  Anti-Phishing Working Group

   Anti-Phishing Working Group (APWG) is one of the biggest coalition
   against cybercrime, especially phishing.  In order to collect threat
   information in a structured format, APWG provides a phishing and
   cybercrime reporting tool which sends threat information to APWG by
   tailoring information with IODEF format, based on RFC5070 and

2.2.  Advanced Cyber Defence Centre

   The Advanced Cyber Defense Centre (ACDC), is EU-wide activity to
   fight against botnets.  ACDC provides a solutions to mitigate on-
   going attacks, as well as consolidating information provided by
   various stakeholders into a pool of knowledge.  Within ACDC, IODEF is
   one of the supported schema for exchanging the information.

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2.3.  Research and Education Networking Information Sharing and Analysis

   Research and Education Networking Information Sharing and Analysis
   Center (REN-ISAC) is a private community of the research and higher
   education members fro sharing threat information, and employs IODEF
   formatted-message to exchange information.

   REN-ISAC also recommends to ues of the IODEF attachment provided with
   the notification email be processed rather than relying on parsing of
   the email body text.  The interface provided by REN-ISAC are designed
   for dealing with such email.


3.  Open Source Implementations

3.1.  EMC/RSA RID Agent

   The EMC/RSA RID agent is an open source implementation of the
   Internet Engineering Task Force (IETF) standards for the exchange of
   incident and indicator data.  The code has been released under an MIT
   license and development will continue with the open source community
   at the Github site for RSA Intelligence Sharing:


   The code implements the RFC6545, Real-time Inter-network Defense
   (RID) and RFC6546, Transport of RID over HTTP/TLS protocol.  The code
   supports the evolving RFC5070-bis Incident Object Description
   Exchange Format (IODEF) data model from the work in the IETF working
   group Managed Incident Lightweight Exchange (MILE).

3.2.  NICT IODEF-SCI implementation

   Japan's National Institute of Information and Communications
   Technology (NICT) Network Security Research Institute implemented
   open source tools for exchanging, accumulating, and locating IODEF-
   SCI documents.

   Three tools are available in GitHub.  They assist the exchange of
   IODEF-SCI documents between parties.  IODEF-SCI is the IETF draft
   that extends IODEF so that IODEF document can embed structured
   cybersecurity information (SCI).  For instance, it can embed MMDEF,
   CEE, MAEC in XML and CVE identifiers.

   The three tools are generator, exchanger, and parser.  The generator
   generates IODEF-SCI document or appends an XML to existing IODEF

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   document.  The exchanger sends the IODEF document to its
   correspondent node.  The parser receives, parses, and stores the
   IODEF-SCI document.  It also equips the interface that enable users
   to locate IODEF-SCI documents it has ever received.  The code has
   been released under an MIT license and development will continue

   Note that users can enjoy this software with their own

   Available Online:


3.3.  n6

   n6 is a platform for processing security-related information,
   developed by NASK, CERT Polska.  Its API provides a common and
   unified way of representing data across the different sources that
   participate in knowledge management.

   n6 exposes a REST-ful API over HTTPS with mandatory authentication
   via TLS client certificates, to ensure confidential and trustworthy
   communications.  Moreover, it uses an event-based data model for
   representation of all types of security information.

   Each event is represented as a JSON object with a set of mandatory
   and optional attributes.  It also supports alternative output data
   formats for keeping compatibility with existing systems - IODEF and
   CSV - although they lack some of the attributes that may be present
   in the native JSON format.

   Available Online:


4.  Vendor Implementations

4.1.  Deep Secure

   Deep-Secure Guards are built to protect a trusted domain from:

   o  releasing sensitive data that does not meet the organisational
      security policy

   o  applications receiving badly constructed or malicious data which
      could exploit a vulnerability (known or unknown)

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   Deep-Secure Guards support HTTPS and XMPP (optimised server to server
   protocol) transports.  The Deep-Secure Guards support transfer of XML
   based business content by creating a schema to translate the known
   good content to and from the intermediate format.  This means that
   the Deep-Secure Guards can be used to protect:

   o  IODEF/RID using the HTTPS transport binding (RFC 6546)

   o  IODEF/RID using an XMPP binding

   o  ROLIE using HTTPS transport binding (draft-field-mile-rolie-02)

   o  STIX/TAXII using the HTTPS transport binding

   Deep-Secure Guards also support the SMTP transport and perform deep
   content inspection of content including XML attachments.  The Mail
   Guard supports S/MIME and Deep Secure are working on support for the
   upcoming PLASMA standard which enables information centric policy
   enforcement of data.

4.2.  IncMan Suite, DFLabs

   The Incident Object Description Exchange Format, documented in the
   RFC 5070, defines a data representation that provides a framework for
   sharing information commonly exchanged by Computer Security Incident
   Response Teams (CSIRTs) about computer security incidents.  IncMan
   Suite implements the IODEF standard for exchanging details about
   incidents, either for exporting and importing activities.  This has
   been introduced to enhance the capabilities of the various CSIRT, to
   facilitate collaboration and sharing of useful experiences, conveying
   awareness on specific cases.

   The IODEF implementation is specified as an XML schema, therefore all
   data are stored in an xml file: in this file all data of an incident
   are organized in a hierarchical structure to describe the various
   objects and their relationships.

   IncMan Suite relies on IODEF as a transport format, composed by
   various classes for describing the entities which are part of the
   incident description: for instance the various relevant timestamps
   (detect time , start time, end time, report time), the techniques
   used by the intruders to perpetrate the incident, the impact of the
   incident, either technical and non-technical (time and monetary) and
   obviously all systems involved in the incident.

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4.2.1.  Exporting Incidents

   Each incident defined in IncMan Suite can be exported via a User
   Interface feature and it will populate an xml document.  Due to the
   nature of the data processed, the IODEF extraction might be
   considered privacy sensitive by the parties exchanging the
   information or by those described by it.  For this reason, specific
   care needs to be taken in ensuring the distribution to an appropriate
   audience or third party, either during the document exchange and
   subsequent processing.

   The xml document generated will include description and details of
   the incident along with all the systems involved and the related
   information.  At this stage it can be distributed for import into a
   remote system.

4.2.2.  Importing Incidents

   IncMan Suite provides a functionality to import incidents stored in
   files and transported via IODEF-compliant xml documents.  The
   importing process comprises of two steps: firstly, the file is
   inspected to validate if well formed, then all data are uploaded
   inside the system.

   If an incident is already existing in the system with the same
   incident id, the new one being imported will be created under a new
   id.  This approach prevents from accidentally overwriting existing
   info or merging inconsistent data.

   IncMan Suite includes also a feature to upload incidents from emails.

   The incident, described in xml format, can be stored directly into
   the body of the email message or transported as an attachment of the
   email.  At regular intervals, customizable by the user, IncMan Suite
   monitors for incoming emails, filtered by a configurable white-list
   and black-list mechanism on the sender's email account, then a parser
   processes the received email and a new incident is created
   automatically, after having validated the email body or the
   attachment to ensure it is a well formed format.

4.3.  Surevine Proof of Concept

   XMPP is enhanced and extended through the XMPP Extension Protocols
   (or XEPs).  XEP-0268 (http://xmpp.org/extensions/xep-0268.html)
   describes incident management (using IODEF) of the XMPP network
   itself, effectively supporting self-healing the XMPP network.  In
   order to more generically cover incident management of a network and
   over a network, XEP-0268 requires some updates.  We are working on

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   these changes together with a new XEP that supports "social
   networking" over XMPP, enhancing the publish-and-subscribe XEP (XEP-
   0060).  This now allows nodes to publish any type of content and
   subscribe to and therefore receive the content.  XEP-0268 will be
   used to describe IODEF content.  We now have an alpha version of the
   server-side software and client-side software required to demonstrate
   the "social networking" capability and are currently enhancing this
   to support Cyber Incident management in real-time.

4.4.  MANTIS Cyber-Intelligence Management Framework

   MANTIS provides an example implementation of a framework for managing
   cyber threat intelligence expressed in standards such as STIX, CybOX,
   IODEF, etc.  The aims of providing such an example implementation

   o  To aide discussions about emerging standards such as STIX, CybOX
      et al. with respect to questions regarding tooling: how would a
      certain aspect be implemented, how do changes affect an
      implementation?  Such discussions become much easier and have a
      better basis if they can be lead in the context of example tooling
      that is known to the community.

   o  To lower the entrance barrier for organizations and teams (esp.
      CERT teams) in using emerging standards for cyber-threat
      intelligence management and exchange.

   o  To provide a platform on the basis of which research and
      community-driven development in the area of cyber-threat
      intelligence management can occur.

5.  Vendors with Planned Support

5.1.  Threat Central, HP

   HP has developed HP Threat Central, a security intelligence platform
   that enables automated, real-time collaboration between organizations
   to combat today's increasingly sophisticated cyber attacks.  One way
   automated sharing of threat indicators is achieved is through close
   integration with the HP ArcSight SIEM for automated upload and
   consumption of information from the Threat Central Server.  In
   addition HP Threat Central supports open standards for sharing threat
   information so that participants who do not use HP Security Products
   can participate in the sharing ecosystem.  General availability of
   Threat Central will be in 2014.  It is planned that future versions
   also support IODEF for the automated upload and download of threat

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6.  Other Implementations

6.1.  Collaborative Incident Management System

   Collaborative Incident Management System (CIMS) is a proof-of-concept
   system for collaborative incident handling and for the sharing of
   cyber defence situational awareness information between the
   participants, developed for the Cyber Coalition 2013 (CC13) exercise
   organized by NATO.  CIMS was implemented based on Request Tracker
   (RT), an open source software widely used for handling incident
   response by many CERTs and CSIRTs.

   One of the functionality implemented in CIMS was the ability to
   import and export IODEF messages in the body of emails.  The intent
   was to verify the suitability of IODEF to achieve the objective of
   collaborative incident handling.  The customized version of RT could
   be configured to send an email message containing an IODEF message
   whenever an incident ticket was created, modified or deleted.  These
   IODEF messages would then be imported into other incident handling
   systems in order to allow participating CSIRTs to use their usual
   means for incident handling, while still interacting with those using
   the proof-of-concept CIMS.  Having an IODEF message generated for
   every change made to the incident information in RT (and for the
   system to allow incoming IODEF email messages to be associated to an
   existing incident) would in some way allow all participating CSIRTs
   to actually work on a "common incident ticket", at least at the
   conceptual level.  Of particular importance was the ability for users
   to exchange information between each other concerning actions taken
   in the handling of a particular incident, thus creating a sort of
   common action log, as well as requesting/tasking others to provide
   information or perform specified action and correlating received
   responses to the original request or tasking.  As well, a specific
   "profile" was developed to identify a subset of the IODEF classes
   that would be used during the exercise, in an attempt to channel all
   users into a common usage pattern of the otherwise flexible IODEF

6.2.  Automated Incident Reporting - AirCERT

   AirCERT was implemented by CERT/CC of Carnegie Mellon's Software
   Engineering Institute CERT divison.  AirCERT was designed to be an
   Internet-scalable distributed system for sharing security event data.
   The AirCERT system was designed to be an automated collector of flow
   and IDS alerts.  AirCERT would collect that information into a
   relational database and be able to share reporting using IODEF and
   IDMEF.  AirCERT additionally used SNML to exchange information about
   the network.  AirCERT was implemented in a combination of C and perl

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   modules and included periodic graphing capabilities leveraging

   AirCERT was intended for large scale distributed deployment and
   eventually the ability to sanitize data to be shared across
   administrative domains.  The architecture was desgined to allow
   collection of data at a per site basis and to allow each site to
   create data sharing based on its own particular trust relationships.

6.3.  US Department of Energy CyberFed

   The CyberFed system was implemented and deployed by Argonne National
   Laboratory to automate the detection and response of attack activity
   against Department of Energy (DoE) computer networks.  CyberFed
   automates the collection of network alerting activity from various
   perimeter network defenses and logs those events into its database.
   CyberFed then automatically converts that information into blocking
   information transmitted to all participants.  The original
   implementation used IODef messages wrapped in an XML extension to
   manage a large array of indicators.  The CyberFed system was not
   designed to describe a particular incident as much as to describe a
   set of current network blocking indicators that can be generated and
   deployed machine-to-machine.

   CyberFed is primarily implemented in Perl.  Included as part of the
   CyberFed system are scripts which interact with a large number of
   firewalls, IDS/IPS devices, DNS systems, and proxies which operate to
   implement both the automated collection of events as well as the
   automated deployment of blacking.

   Currently CyberFed supports multiple exchange formats including IODef
   and STIX.  OpenIOC is also a potential exchange format that DoE is

6.4.  TrendMicro Sharing System

   More information to come.

7.  Implementation Guide

   The section aims at sharing the tips for development of IODEF-capable

7.1.  Code Generators

   For implementing IODEF-capable systems, it is feasible to employ code
   generators for XML Schema Document (XSD).  The generators are used to
   save development costs since they automatically create useful

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   libraries for accessing XML attributes, composing messages, and/or
   validating XML objects.  The IODEF XSD was defined in section 8 of
   RFC 5070, and is availabe at http://www.iana.org/assignments/xml-

   However, there still remains some problem.  Due to the complexity of
   IODEF XSD, some code generators could not generate from the XSD file.
   The tested code generators were as follows.

   o  XML::Pastor [XSD:Perl] (Perl)

   o  RXSD [XSD:Ruby] (Ruby)

   o  PyXB [XSD:Python] (Python)

   o  JAXB [XSD:Java] (Java)

   o  CodeSynthesis XSD [XSD:Cxx] (C++)

   o  Xsd.exe [XSD:CS] (C#)

   For instance, we have used XML::Pastor, but it could not properly
   understand its schema due to the complexity of IODEF XSD.  The same
   applies to RXSD and JAXB.  Only PyXB, CodeSynthesis XSD and Xsd.exe
   were able to understand the schema.

   There is no recommended workaround, however, a double conversion of
   XSD file is one option to go through the situation; it means XSD is
   serialized to XML, and it is again converted to XSD.  The resultant
   XSD was process-able by the all tools above.

   It should be noted that IODEF uses '-' (hyphen) symbols in its
   classes or attributes, listed as follows.

   o  IODEF-Document Class; it is the top level class in the IODEF data
      model described in section 3.1 of [RFC5070].

   o  The vlan-name and vlan-num Attribute; according to section 3.16.2
      of [RFC5070], they are the name and number of Virtual LAN and are
      the attributes for Address class.

   o  Extending the Enumerated Values of Attribute; according to section
      5.1 of [RFC5070], it is a extension techniques to add new
      enumerated values to an attribute, and has a prefix of "ext-",
      e.g., ext-value, ext-category, ext-type, and so on.

   According to the language specification, many programing language
   prohibit to contain '-' symbols in the name of class.  The code

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   generators must replace or remove '-' when building the librarlies.
   They should have the name space to restore '-' when outputting the
   XML along with IODEF XSD.

7.2.  iodeflib

   iodeflib is an open source implementation written in Python.  This
   provides a simple but powerful APIs to create, parse and edit IODEF
   documents.  It was designed in order to keep its interface as simple
   as possible, whereas generated libraries tend to inherit the
   complexity of IODEF XSD.  As well as the interface, iodeflib involves
   functions of hiding some unnecessarily nested structures of the IODEF
   schema, and adding more convenient shortcuts.

   This tool is available through the following link:


7.3.  iodefpm

   IODEF.pm is an open source implementation written in Perl.  This also
   provides a simple interface for creating and parsing IODEF documents,
   in order to facilitate the translation of the a key-value based
   format to the IODEF representation.  The module contains a generic
   XML DTD parser and includes a simplified node based representation of
   the IODEF DTD.  It can hence easily be upgraded or extended to
   support new XML nodes or other DTDs.

   This tool is available through the following link:


7.4.  Usability

   Here notes some tips to avoid problems.

   o  IODEF has category attribute for NodeRole class.  Though various
      categories are described, they are not enough.  For example, in
      the case of web mail servers, you should choose either "www" or
      "mail".  One suggestion is selecting "mail" as the category
      attribute and adding "www" for another attirbute.

   o  The numbering of Incident ID needs to be considered.  Otherwise,
      information, such as the number of incidents within certain period
      could be observed by document receivers.  For instance, we could
      randomize the assignment of the numbers.

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8.  Acknowledgements

   The MILE Implementation report has been compiled through the
   submissions of implementers of INCH and MILE working group standards.
   A special note of thanks to the following contributors:

      John Atherton, Surevine

      Humphrey Browning, Deep-Secure

      Dario Forte, DFLabs

      Tomas Sander, HP

      Ulrich Seldeslachts, ACDC

      Takeshi Takahashi, National Institute of Information and
      Communications Technology Network Security Research Institute

      Kathleen Moriarty, EMC

      Bernd Grobauer, Siemens

      Dandurand Luc, NATO

      Pawel Pawlinski, NASK

9.  IANA Considerations

   This memo includes no request to IANA.

10.  Security Considerations

   This draft provides a summary of implementation reports from
   researchers and vendors who have implemented RFCs and drafts from the
   MILE and INCH working groups.  There are no security considerations
   added in this draft because of the nature of the document.

11.  Informative References

   [RFC5070]  Danyliw, R., Meijer, J., and Y. Demchenko, "The Incident
              Object Description Exchange Format", RFC 5070, December

   [RFC5901]  Cain, P. and D. Jevans, "Extensions to the IODEF-Document
              Class for Reporting Phishing", RFC 5901, July 2010.

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   [RFC5941]  M'Raihi, D., Boeyen, S., Grandcolas, M., and S. Bajaj,
              "Sharing Transaction Fraud Data", RFC 5941, August 2010.

   [RFC6545]  Moriarty, K., "Real-time Inter-network Defense (RID)", RFC
              6545, April 2012.

   [RFC6546]  Trammell, B., "Transport of Real-time Inter-network
              Defense (RID) Messages over HTTP/TLS", RFC 6546, April

   [XSD:CS]   Microsoft, "XML Schema Definition Tool (Xsd.exe)",

   [XSD:Cxx]  CodeSynthesis, "XSD - XML Data Binding for C++",

              Project Kenai, "JAXB Reference Implementation",

              Ulsoy, A., "XML::Pastor",

              Bigot, P., "PyXB: Python XML Schema Bindings",

              Morsi, M., "RXSD - XSD / Ruby Translator",

Authors' Addresses

   Chris Inacio
   Carnegie Mellon University
   4500 5th Ave., SEI 4108
   Pittsburgh, PA  15213

   Email: inacio@andrew.cmu.edu

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   Daisuke Miyamoto
   The Univerisity of Tokyo
   2-11-16 Yayoi, Bunkyo
   Tokyo  113-8658

   Email: daisu-mi@nc.u-tokyo.ac.jp

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