From abed2c76d69a54083b60ec819663902384bb0019 Mon Sep 17 00:00:00 2001 From: Andrew Kroh Date: Wed, 17 Mar 2021 17:22:10 -0400 Subject: [PATCH] Update docs and changelog --- CHANGELOG.next.asciidoc | 2 -- filebeat/docs/fields.asciidoc | 10 +++++----- x-pack/filebeat/module/zeek/fields.go | 2 +- x-pack/filebeat/module/zeek/ntp/_meta/fields.yml | 12 ++++++------ 4 files changed, 12 insertions(+), 14 deletions(-) diff --git a/CHANGELOG.next.asciidoc b/CHANGELOG.next.asciidoc index 5390fd471a4..e5e41d8ab9c 100644 --- a/CHANGELOG.next.asciidoc +++ b/CHANGELOG.next.asciidoc @@ -882,10 +882,8 @@ https://github.com/elastic/beats/compare/v7.0.0-alpha2...master[Check the HEAD d - Upgrade okta to ecs 1.8.0 and move js processor to ingest pipeline {issue}23118[23118] {pull}23929[23929] - Update zoom module to ECS 1.8. {pull}23904[23904] {issue}23118[23118] - Support X-Forwarder-For in IIS logs. {pull}19142[192142] -- Added NTP fileset to Zeek module {pull}23772[23772] - Added NTP fileset to Zeek module {pull}24224[24224] - *Heartbeat* - Add mime type detection for http responses. {pull}22976[22976] diff --git a/filebeat/docs/fields.asciidoc b/filebeat/docs/fields.asciidoc index 1639a5e1f49..2fc60c623b5 100644 --- a/filebeat/docs/fields.asciidoc +++ b/filebeat/docs/fields.asciidoc @@ -159380,7 +159380,7 @@ type: integer *`zeek.ntp.poll`*:: + -- -The maximum interval between successive messages. +The maximum interval between successive messages in seconds. type: double @@ -159390,7 +159390,7 @@ type: double *`zeek.ntp.precision`*:: + -- -The precision of the system clock. +The precision of the system clock in seconds. type: double @@ -159400,7 +159400,7 @@ type: double *`zeek.ntp.root_delay`*:: + -- -Total round-trip delay to the reference clock. +Total round-trip delay to the reference clock in seconds. type: double @@ -159410,7 +159410,7 @@ type: double *`zeek.ntp.root_disp`*:: + -- -Total dispersion to the reference clock. +Total dispersion to the reference clock in seconds. type: double @@ -159420,7 +159420,7 @@ type: double *`zeek.ntp.ref_id`*:: + -- -For stratum 0, 4 character string used for debugging. For stratum 1, ID assigned to the reference clock by IANA. Above stratum 1, when using IPv4, the IP address of the reference clock. Note that the NTP protocol did not originally specify a large enough field to represent IPv6 addresses, so they use the first four bytes of the MD5 hash of the reference clock’s IPv6 address (i.e. an IPv4 address here is not necessarily IPv4). +For stratum 0, 4 character string used for debugging. For stratum 1, ID assigned to the reference clock by IANA. Above stratum 1, when using IPv4, the IP address of the reference clock. Note that the NTP protocol did not originally specify a large enough field to represent IPv6 addresses, so they use the first four bytes of the MD5 hash of the reference clock’s IPv6 address (i.e. an IPv4 address here is not necessarily IPv4). type: keyword diff --git a/x-pack/filebeat/module/zeek/fields.go b/x-pack/filebeat/module/zeek/fields.go index f2e54f008b5..a0740161b64 100644 --- a/x-pack/filebeat/module/zeek/fields.go +++ b/x-pack/filebeat/module/zeek/fields.go @@ -19,5 +19,5 @@ func init() { // AssetZeek returns asset data. // This is the base64 encoded gzipped contents of module/zeek. func AssetZeek() string { - return 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" + return 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" } diff --git a/x-pack/filebeat/module/zeek/ntp/_meta/fields.yml b/x-pack/filebeat/module/zeek/ntp/_meta/fields.yml index 6828482a1e5..b48dcc20723 100644 --- a/x-pack/filebeat/module/zeek/ntp/_meta/fields.yml +++ b/x-pack/filebeat/module/zeek/ntp/_meta/fields.yml @@ -19,25 +19,25 @@ - name: poll type: double description: > - The maximum interval between successive messages. + The maximum interval between successive messages in seconds. - name: precision type: double description: > - The precision of the system clock. + The precision of the system clock in seconds. - name: root_delay type: double description: > - Total round-trip delay to the reference clock. + Total round-trip delay to the reference clock in seconds. - name: root_disp type: double description: > - Total dispersion to the reference clock. + Total dispersion to the reference clock in seconds. - name: ref_id type: keyword description: > For stratum 0, 4 character string used for debugging. - For stratum 1, ID assigned to the reference clock by IANA. - Above stratum 1, when using IPv4, the IP address of the reference clock. + For stratum 1, ID assigned to the reference clock by IANA. + Above stratum 1, when using IPv4, the IP address of the reference clock. Note that the NTP protocol did not originally specify a large enough field to represent IPv6 addresses, so they use the first four bytes of the MD5 hash of the reference clock’s IPv6 address (i.e. an IPv4 address here is not necessarily IPv4).