CVE-2017-1000158
Integer overflow in PyString_DecodeEscape function
- CVSS 9.8
- CWE-190 Integer Overflow or Wraparound
- Numeric Errors
- Local
CPython (aka Python) up to 2.7.13 is vulnerable to an integer overflow in the PyString_DecodeEscape function in stringobject.c, resulting in a heap-based buffer overflow (and possible arbitrary code execution)
- CVSS base score
- 9.8
- Published
- 2017-11-17
- OWASP
- A03 Injection
- Orthogonal defect classification
- Function
- Code defect classification
- Incorrect Functionality
- Category
- Numeric Errors
- Subcategory
- Integer Overflows
- Accessibility scope
- Local
- Impact
- Arbitrary Code Execution
- Fixed by upgrading
- Yes
Solution
Update Python to a version that addresses the problem.
Vulnerable code sample
def vulnerable_decode_escape(input_string):
return input_string.encode('utf-8').decode('unicode_escape')
if __name__ == "__main__":
input_string = "some_string_with_escape_sequences" + "\x7f" * (2**31)
try:
result = vulnerable_decode_escape(input_string)
print("Decoded string:", result)
except Exception as e:
print("Error:", e)Patched code sample
import sys
def safe_decode_escape(input_string):
try:
decoded_string = input_string.encode('utf-8').decode('unicode_escape')
return decoded_string
except (UnicodeDecodeError, OverflowError) as e:
print("Error decoding string:", e)
return None
if __name__ == "__main__":
input_string = "some_string_with_escape_sequences"
result = safe_decode_escape(input_string)
if result is not None:
print("Decoded string:", result)Cite this entry
@misc{vaitp:cve20171000158,
title = {{Integer overflow in PyString_DecodeEscape function}},
author = {Bogaerts, Fr\'ed\'eric and Ivaki, Naghmeh and Fonseca, Jos\'e},
year = {2017},
note = {VAITP Python Vulnerability Dataset, entry CVE-2017-1000158},
howpublished = {\url{https://netpack.pt/vaitp/vulnerability/CVE-2017-1000158/}}
}
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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