2024-06-07 10:46:45 +00:00
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id: CVE-2023-43472
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info:
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name: MLFlow < 2.8.1 - Sensitive Information Disclosure
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author: ritikchaddha
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severity: high
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description: |
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An issue in MLFlow versions 2.8.1 and before allows a remote attacker to obtain sensitive information via a crafted request to REST API.
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impact: |
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An attacker can access sensitive information stored in MLFlow.
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remediation: |
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Upgrade MLFlow to a version that has patched CVE-2023-43472.
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reference:
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- https://www.contrastsecurity.com/security-influencers/discovering-mlflow-framework-zero-day-vulnerability-machine-language-model-security-contrast-security
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- https://nvd.nist.gov/vuln/detail/CVE-2023-43472
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classification:
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cvss-metrics: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
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cvss-score: 7.5
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cve-id: CVE-2023-43472
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epss-score: 0.00116
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2024-06-11 15:57:19 +00:00
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epss-percentile: 0.45309
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2024-06-07 10:46:45 +00:00
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cpe: cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*
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metadata:
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2024-06-11 15:57:19 +00:00
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verified: true
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2024-06-07 10:46:45 +00:00
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vendor: lfprojects
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product: mlflow
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shodan-query: http.title:"mlflow"
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fofa-query: app="MLflow"
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tags: cve,cve2023,mflow,exposure
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http:
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- method: GET
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path:
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- "{{BaseURL}}/api/2.0/preview/mlflow/experiments/list"
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matchers:
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- type: dsl
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dsl:
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- 'contains_all(body, "experiment_id\":", "artifact_location\":", "lifecycle_stage\":")'
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- 'contains(header, "application/json")'
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- 'status_code == 200'
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condition: and
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2024-06-11 16:18:25 +00:00
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# digest: 490a0046304402200604a134f8c6077c7051b019211d1b92cdae8f79ac5b9be070e6c09a53bf039102207d6375965069071d12932be5b11b6762e2396f54e8cc8ce2a051da395a28499e:922c64590222798bb761d5b6d8e72950
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