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CIRCL - Operational Statistics

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Operational statistics from CIRCL, the Computer Incident Response Center Luxembourg, covering incident-response activity such as reporting (incident reports, requests for analysis or support) and notifications (take-down or vulnerability notices) exchanged with third parties. Automatic structured exchanges via threat-intelligence platforms, including CIRCL's MISP sharing platform, are excluded. The dataset presents incident-handling statistics for 2011-2017, a period during which attacker behaviour and CIRCL's internal procedures evolved, and constituent reporting patterns shifted due to CIRCL's growing reputation and training programmes that built local incident-response capacity, complicating year-on-year comparisons. Ticket counts are noted as an imperfect measure of workload given varying resource intensity per case.}}}}}}}}}}}}}}}}}}The operational statistics cover the activities related to the incident response activities of CIRCL especially in regards to the reporting (e.g. incident reports, request for analysis or support during computer security incident) and notifications (e.g. take-down notification, notification about vulnerability) from/to third parties. The statistics exclude automatic structured notifications and information exchange happening via threat intelligence platforms such as the CIRCL MISP information sharing platform or any other automatic exchange setup with partners. In this section some statistics are presented about incidents handled by CIRCL between 2011 and 2017. During this time frame the attackers evolved, forcing CIRCL to adapt its internal procedures. Although the reporting to CIRCL is not mandatory, the reporting behaviour of constituents has changed. On one hand, the reputation of CIRCL increased, thereby increasing the amount of reporting to CIRCL. On the other hand, due to the trainings such as Introduction to incident response, forensic analysis and many others offered by CIRCL, have helped local organisations build up their own incident response capacities thereby reducing the number of reported incidents. This makes comparing the statistics of successive years challenging. Tickets are no indicators for the overall workload as there are some tickets that are very resource intensive whereas others are quickly solved. Nevertheless, the workload for the overall triage of the tickets is increasing and showing an increase in diversity when it comes to attacker practices.

crime-justicedigital
39
poor

Weighted across five axes. Tap a ring for what it measures.

Data schema (4 fields)

Click a field to see example values.

FieldTypeDescription
ticketNumTicket numtextUnique identifier of the incident report ticket.Unique identifier of the incident report ticket.
actiontextCoded action or status type applied to the ticket.Coded action or status type applied to the ticket.
commenttextFree-text note or label describing the ticket action.Free-text note or label describing the ticket action.
datedatetimeTimestamp when the ticket action was recorded.Timestamp when the ticket action was recorded.

Schema inferred from the distribution file's first records 6 days ago. Column types are sampled estimates, not source-declared.

Query the data

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Sample data (5 records)

ticketNumactioncommentdate
32dbfc2863fb0b731abbcfb5c7ac5e7f2COMMUNENET2010-11-02 07:58:22
32dbfc2863fb0b731abbcfb5c7ac5e7f1open2010-11-02 07:58:23
af255610b344e1151cb25987e84e9e792COMMUNENET2010-11-02 09:09:06
af255610b344e1151cb25987e84e9e794open2010-11-02 09:09:08
c83bc835a0e4b37a08a400d8118c7c4f1open2010-11-02 09:22:04

Live sample captured at profiling time — values may have changed upstream.

Verification Status

Using the API

Query examples

curl -sL 'https://www.circl.lu/assets/images/statistics/data.json' -o data.json

Full json file download — the schema shown was inferred from the file's first records.

Dataset

Volume & freshness

Data size
7.3 MB

Coverage

First published
2018-01-04

License

No license declared upstream.

Themes

TECHJUST
○ Documentation○ Data dictionary○ Versioning

Distributions (1)

Machine-readable & source

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