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Anomaly Scoring :: CRS Documentation

CRS 3 is designed as an anomaly scoring rule set. This page explains what anomaly scoring is and how to use it. Overview of Anomaly Scoring Anomaly scoring, also known as “collaborative detection”, is a scoring mechanism used in CRS. It assigns a numeric score to HTTP transactions (requests and responses), representing how ‘anomalous’ they appear to be. Anomaly scores can then be used to make blocking decisions. The default CRS blocking policy, for example, is to block any transaction that meets or exceeds a defined anomaly score threshold.



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Anomaly Scoring :: CRS Documentation

https://coreruleset.org/docs/2-how-crs-works/2-1-anomaly_scoring/index.html

CRS 3 is designed as an anomaly scoring rule set. This page explains what anomaly scoring is and how to use it. Overview of Anomaly Scoring Anomaly scoring, also known as “collaborative detection”, is a scoring mechanism used in CRS. It assigns a numeric score to HTTP transactions (requests and responses), representing how ‘anomalous’ they appear to be. Anomaly scores can then be used to make blocking decisions. The default CRS blocking policy, for example, is to block any transaction that meets or exceeds a defined anomaly score threshold.



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https://coreruleset.org/docs/2-how-crs-works/2-1-anomaly_scoring/index.html

Anomaly Scoring :: CRS Documentation

CRS 3 is designed as an anomaly scoring rule set. This page explains what anomaly scoring is and how to use it. Overview of Anomaly Scoring Anomaly scoring, also known as “collaborative detection”, is a scoring mechanism used in CRS. It assigns a numeric score to HTTP transactions (requests and responses), representing how ‘anomalous’ they appear to be. Anomaly scores can then be used to make blocking decisions. The default CRS blocking policy, for example, is to block any transaction that meets or exceeds a defined anomaly score threshold.

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      CRS 3 is designed as an anomaly scoring rule set. This page explains what anomaly scoring is and how to use it. Overview of Anomaly Scoring Anomaly scoring, also known as “collaborative detection”, is a scoring mechanism used in CRS. It assigns a numeric score to HTTP transactions (requests and responses), representing how ‘anomalous’ they appear to be. Anomaly scores can then be used to make blocking decisions. The default CRS blocking policy, for example, is to block any transaction that meets or exceeds a defined anomaly score threshold.
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      CRS 3 is designed as an anomaly scoring rule set. This page explains what anomaly scoring is and how to use it. Overview of Anomaly Scoring Anomaly scoring, also known as “collaborative detection”, is a scoring mechanism used in CRS. It assigns a numeric score to HTTP transactions (requests and responses), representing how ‘anomalous’ they appear to be. Anomaly scores can then be used to make blocking decisions. The default CRS blocking policy, for example, is to block any transaction that meets or exceeds a defined anomaly score threshold.

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      CRS 3 is designed as an anomaly scoring rule set. This page explains what anomaly scoring is and how to use it. Overview of Anomaly Scoring Anomaly scoring, also known as “collaborative detection”, is a scoring mechanism used in CRS. It assigns a numeric score to HTTP transactions (requests and responses), representing how ‘anomalous’ they appear to be. Anomaly scores can then be used to make blocking decisions. The default CRS blocking policy, for example, is to block any transaction that meets or exceeds a defined anomaly score threshold.
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