CVE-2024-27453
Read-only user can escalate to root via crafted HTTP POST in MMI.
- CVSS 8.6
- CWE-266
- Authorization, Authentication, and Session Management
- Remote
In Extreme XOS through 22.6.1.4, a read-only user can escalate privileges to root via a crafted HTTP POST request to the python method of the Machine-to-Machine Interface (MMI).
- CWE
- CWE-266
- CVSS base score
- 8.6
- Published
- 2024-05-03
- OWASP
- A05 Security Misconfiguration
- Orthogonal defect classification
- Interface
- Code defect classification
- Incorrect Interface
- Category
- Authorization, Authentication, and Session Management
- Subcategory
- Privilege Escalation
- Accessibility scope
- Remote
- Impact
- Privilege Escalation
- Affected component
- Extreme XOS
Solution
Upgrade to Extreme XOS version 22.6.2 or later.
Vulnerable code sample
from flask import Flask, request
app = Flask(__name__)
@app.route('/mmi', methods=['POST'])
def mmi_method():
return "Action performed successfully", 200
if __name__ == '__main__':
app.run()Patched code sample
from flask import Flask, request, abort
app = Flask(__name__)
USER_ROLES = {
'readonly_user': 'read-only',
'admin_user': 'admin'
}
def check_permissions(user):
if USER_ROLES.get(user) != 'admin':
abort(403)
@app.route('/mmi', methods=['POST'])
def mmi_method():
user = request.headers.get('X-User ')
check_permissions(user)
return "Action performed successfully", 200
if __name__ == '__main__':
app.run()Payload
{
"command": "escalate_privileges",
"target": "root"
}
Cite this entry
@misc{vaitp:cve202427453,
title = {{Read-only user can escalate to root via crafted HTTP POST in MMI.}},
author = {Bogaerts, Fr\'ed\'eric and Ivaki, Naghmeh and Fonseca, Jos\'e},
year = {2024},
note = {VAITP Python Vulnerability Dataset, entry CVE-2024-27453},
howpublished = {\url{https://netpack.pt/vaitp/vulnerability/CVE-2024-27453/}}
}
Introducing the "VAITP dataset": a specialized repository of Python vulnerabilities and patches, meticulously compiled for the use of the security research community. As Python's prominence grows, understanding and addressing potential security vulnerabilities become crucial. Crafted by and for the cybersecurity community, this dataset offers a valuable resource for researchers, analysts, and developers to analyze and mitigate the security risks associated with Python. Through the comprehensive exploration of vulnerabilities and corresponding patches, the VAITP dataset fosters a safer and more resilient Python ecosystem, encouraging collaborative advancements in programming security.
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