CVE-2024-0964
Remote file inclusion via vulnerable user-supplied JSON in Gradio API.
- CVSS 9.4
- CWE-22
- Input Validation and Sanitization
- Remote
A local file include could be remotely triggered in Gradio due to a vulnerable user-supplied JSON value in an API request.
- CWE
- CWE-22
- CVSS base score
- 9.4
- Published
- 2024-02-05
- OWASP
- A03 Injection
- Orthogonal defect classification
- Function
- Code defect classification
- Incorrect Functionality
- Category
- Input Validation and Sanitization
- Subcategory
- Local File Inclusion (LFI)
- Accessibility scope
- Remote
- Impact
- Arbitrary Code Execution
- Affected component
- Gradio
- Fixed by upgrading
- Yes
Solution
Upgrade Gradio to version 3.9.1 or later, and implement strict input validation and sanitization for user-supplied JSON values.
Vulnerable code sample
import gradio as gr
def function(user_input):
with open(user_input['file_path'], 'r') as file:
return file.read()
iface = gr.Interface(fn=function, inputs="json", outputs="text")
iface.launch()Patched code sample
import gradio as gr
import os
ALLOWED_DIR = "/directory"
def function(user_input):
file_path = os.path.abspath(user_input.get('file_path', ''))
if not file_path.startswith(os.path.abspath(ALLOWED_DIR)):
return "Access denied."
try:
with open(file_path, 'r') as file:
return file.read()
except Exception as e:
return f"Error reading file: {e}"
iface = gr.Interface(fn=function, inputs="json", outputs="text")
iface.launch()Payload
{"file_path": "/etc/passwd"}
Cite this entry
@misc{vaitp:cve20240964,
title = {{Remote file inclusion via vulnerable user-supplied JSON in Gradio API.}},
author = {Bogaerts, Fr\'ed\'eric and Ivaki, Naghmeh and Fonseca, Jos\'e},
year = {2024},
note = {VAITP Python Vulnerability Dataset, entry CVE-2024-0964},
howpublished = {\url{https://netpack.pt/vaitp/vulnerability/CVE-2024-0964/}}
}
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.
The supreme art of war is to subdue the enemy without fighting.
Sun Tzu – “The Art of War”
:: Shaping the future through research and ingenuity ::
