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* added new metrics * fixed interval issue for aggregate metric * unstaged panther_config changes * addressed initial PR feedback * addressed pr feedback * final pr feedback changes
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,153 @@ | ||
| package api | ||
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| /** | ||
| * Panther is a Cloud-Native SIEM for the Modern Security Team. | ||
| * Copyright (C) 2020 Panther Labs Inc | ||
| * | ||
| * This program is free software: you can redistribute it and/or modify | ||
| * it under the terms of the GNU Affero General Public License as | ||
| * published by the Free Software Foundation, either version 3 of the | ||
| * License, or (at your option) any later version. | ||
| * | ||
| * This program is distributed in the hope that it will be useful, | ||
| * but WITHOUT ANY WARRANTY; without even the implied warranty of | ||
| * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the | ||
| * GNU Affero General Public License for more details. | ||
| * | ||
| * You should have received a copy of the GNU Affero General Public License | ||
| * along with this program. If not, see <https://www.gnu.org/licenses/>. | ||
| */ | ||
|
|
||
| import ( | ||
| "math" | ||
| "strconv" | ||
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| "github.com/aws/aws-sdk-go/aws" | ||
| "github.com/aws/aws-sdk-go/service/cloudwatch" | ||
| "go.uber.org/zap" | ||
|
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| analysismodels "github.com/panther-labs/panther/api/gateway/analysis/models" | ||
| "github.com/panther-labs/panther/api/lambda/metrics/models" | ||
| ) | ||
|
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| const alertsMetric = "AlertsCreated" | ||
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| // getAlertsBySeverity returns the count of log analysis alerts generated by severity | ||
| // | ||
| // This is a time series metric. | ||
| func getAlertsBySeverity(input *models.GetMetricsInput, output *models.GetMetricsOutput) error { | ||
| // Build the query based on the applicable metric dimensions | ||
| analysisSeverities := []*string{ | ||
| aws.String(string(analysismodels.SeverityCRITICAL)), | ||
| aws.String(string(analysismodels.SeverityHIGH)), | ||
| aws.String(string(analysismodels.SeverityMEDIUM)), | ||
| aws.String(string(analysismodels.SeverityLOW)), | ||
| aws.String(string(analysismodels.SeverityINFO)), | ||
| } | ||
|
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| queries := make([]*cloudwatch.MetricDataQuery, 0, len(analysisSeverities)) | ||
| for i, severity := range analysisSeverities { | ||
| queries = append(queries, &cloudwatch.MetricDataQuery{ | ||
| Id: aws.String("query" + strconv.Itoa(i)), | ||
| Label: severity, | ||
| MetricStat: &cloudwatch.MetricStat{ | ||
| Metric: &cloudwatch.Metric{ | ||
| Dimensions: []*cloudwatch.Dimension{ | ||
| { | ||
| Name: aws.String("AnalysisType"), | ||
| Value: aws.String("Rule"), | ||
| }, | ||
| { | ||
| Name: aws.String("Severity"), | ||
| Value: severity, | ||
| }, | ||
| }, | ||
| MetricName: aws.String(alertsMetric), | ||
| Namespace: aws.String(input.Namespace), | ||
| }, | ||
| Period: aws.Int64(input.IntervalMinutes * 60), // number of seconds, must be multiple of 60 | ||
| Stat: aws.String("Sum"), | ||
| Unit: aws.String("Count"), | ||
| }, | ||
| }) | ||
| } | ||
| zap.L().Debug("prepared metric queries", zap.Any("queries", queries), zap.Any("toDate", input.ToDate), zap.Any("fromDate", input.FromDate)) | ||
|
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| metricData, err := getMetricData(input, queries) | ||
| if err != nil { | ||
| return err | ||
| } | ||
| values, timestamps := normalizeTimeStamps(input, metricData) | ||
|
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| output.AlertsBySeverity = &models.MetricResult{ | ||
| SeriesData: models.TimeSeriesMetric{ | ||
| Timestamps: timestamps, | ||
| Series: values, | ||
| }, | ||
| } | ||
| return nil | ||
| } | ||
|
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| // getTotalAlertsDelta the total count of alerts in the given time period, and additionally the | ||
| // total count of alerts in the previous time period of equal size to the requested time period. | ||
| // | ||
| // This is a single value metric. | ||
| func getTotalAlertsDelta(input *models.GetMetricsInput, output *models.GetMetricsOutput) error { | ||
| // Whatever time frame we're supposed to look at, actually look at double that time frame | ||
| timeFrame := input.FromDate.Sub(input.ToDate) | ||
| dStart := input.FromDate.Add(timeFrame) | ||
|
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| // Construct a new input model here because we want to overwrite the FromDate and IntervalHours | ||
| // fields without potentially affecting any other metrics that need to be generated. | ||
| dInput := &models.GetMetricsInput{ | ||
| FromDate: dStart, | ||
| ToDate: input.ToDate, | ||
| IntervalMinutes: int64(math.Abs(timeFrame.Minutes())), | ||
| } | ||
|
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| // Build the query based on the applicable metric dimensions | ||
| queries := []*cloudwatch.MetricDataQuery{ | ||
| { | ||
| Id: aws.String("query"), | ||
| Label: aws.String("alerts"), | ||
| MetricStat: &cloudwatch.MetricStat{ | ||
| Metric: &cloudwatch.Metric{ | ||
| Dimensions: []*cloudwatch.Dimension{ | ||
| { | ||
| Name: aws.String("AnalysisType"), | ||
| Value: aws.String("Rule"), | ||
| }, | ||
| }, | ||
| MetricName: aws.String(alertsMetric), | ||
| Namespace: aws.String(input.Namespace), | ||
| }, | ||
| Period: aws.Int64(dInput.IntervalMinutes * 60), // number of seconds, must be multiple of 60 | ||
| Stat: aws.String("Sum"), | ||
| Unit: aws.String("Count"), | ||
| }, | ||
| }, | ||
| } | ||
|
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| zap.L().Debug("prepared metric queries", zap.Any("queries", queries), zap.Any("toDate", input.ToDate), zap.Any("fromDate", input.FromDate)) | ||
|
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| metricData, err := getMetricData(dInput, queries) | ||
| if err != nil { | ||
| return err | ||
| } | ||
|
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| values, _ := normalizeTimeStamps(dInput, metricData) | ||
| output.TotalAlertsDelta = &models.MetricResult{ | ||
| SingleValue: []models.SingleMetric{ | ||
| { | ||
| Label: aws.String("Current Period"), | ||
| Value: values[0].Values[0], | ||
| }, | ||
| { | ||
| Label: aws.String("Previous Period"), | ||
| Value: values[0].Values[1], | ||
| }, | ||
| }, | ||
| } | ||
|
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| return nil | ||
| } |
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