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modules/recon/airflow-api-exposure.yaml flags an exposed Apache Airflow webserver through its unauthenticated health endpoint, keyed on the metadatabase and scheduler health blocks, then extracts the scheduler heartbeat. modules/recon/flink-api-exposure.yaml flags an exposed Apache Flink dashboard, keyed on the flink version paired with the slot total that a generic overview does not carry, then extracts the flink version. modules/recon/kafka-connect-api-exposure.yaml flags an exposed Kafka Connect rest api, keyed on the kafka cluster id paired with the version, then extracts the version. internal/modules/data_pipeline_api_exposure_test.go drives the three modules end to end through ExecuteHTTPModule and asserts the leak alongside the near misses a strict review wants pinned: each service with one keying field missing, a generic health response, a plain 200 and a 404. verify: go test ./internal/modules, each matcher and extractor proven to bite (break -> red, restore -> green).
40 lines
764 B
YAML
40 lines
764 B
YAML
# Apache Airflow API Exposure Detection Module
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id: airflow-api-exposure
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info:
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name: Apache Airflow API Exposure
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author: sif
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severity: medium
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description: Detects an exposed Apache Airflow webserver through its unauthenticated health endpoint
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tags: [airflow, apache, pipeline, api, exposure, recon]
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type: http
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http:
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method: GET
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paths:
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- "{{BaseURL}}/health"
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matchers:
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- type: status
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status:
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- 200
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- type: word
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part: body
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words:
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- "\"metadatabase\""
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- type: word
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part: body
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words:
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- "\"scheduler\""
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extractors:
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- type: regex
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name: airflow_scheduler_heartbeat
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part: body
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regex:
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- '"latest_scheduler_heartbeat"\s*:\s*"([^"]+)"'
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group: 1
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