CVE-2024-41951
Encoding/decoding language map exposed in Phoenix App's code.
- CVSS 4.4
- CWE-323
- Information Leakage
- Local
Pheonix App is a Python application designed to streamline various tasks, from managing files to playing mini-games. The issue is that the map of encoding/decoding languages are visible in code. The Problem was patched in 0.2.4.
- CWE
- CWE-323
- CVSS base score
- 4.4
- Published
- 2024-07-31
- OWASP
- A03 Sensitive Data Exposure
- Orthogonal defect classification
- Function
- Code defect classification
- Extraneous Functionality
- Category
- Information Leakage
- Subcategory
- Information Disclosure
- Accessibility scope
- Local
- Impact
- Information Disclosure
- Affected component
- Pheonix App
Solution
Upgrade to version 0.2.4 or later.
Vulnerable code sample
encoding_map = {
'text1': 'encoded_text1',
'text2': 'encoded_text2'
}
def encode_data(data):
return {key: encoding_map.get(key, key) for key in data}
data_to_encode = ['text1', 'text2']
encoded_data = encode_data(data_to_encode)
print(encoded_data)Patched code sample
import json
def load_encoding_map():
with open('encoding_map.json', 'r') as file:
return json.load(file)
encoding_map = load_encoding_map()
def encode_data(data):
return {key: encoding_map.get(key, key) for key in data}
data_to_encode = ['text1', 'text2']
encoded_data = encode_data(data_to_encode)
print(encoded_data)Payload
# Example payload that could be used to exploit the vulnerability
malicious_input = ['text1', 'text2', 'malicious_command']
encoded_data = encode_data(malicious_input)
print(encoded_data)
Cite this entry
@misc{vaitp:cve202441951,
title = {{Encoding/decoding language map exposed in Phoenix App's code.}},
author = {Bogaerts, Fr\'ed\'eric and Ivaki, Naghmeh and Fonseca, Jos\'e},
year = {2024},
note = {VAITP Python Vulnerability Dataset, entry CVE-2024-41951},
howpublished = {\url{https://netpack.pt/vaitp/vulnerability/CVE-2024-41951/}}
}
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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