CVE-2008-4864
Multiple integer overflows in imageop.c
- CVSS 7.5
- CWE-190 Integer Overflow or Wraparound
- Numeric Errors
- Local
Multiple integer overflows in imageop.c in the imageop module in Python 1.5.2 through 2.5.1 allow context-dependent attackers to break out of the Python VM and execute arbitrary code via large integer values in certain arguments to the crop function, leading to a buffer overflow, a different vulnerability than CVE-2007-4965 and CVE-2008-1679.
- CVSS base score
- 7.5
- Published
- 2008-11-01
- OWASP
- A08 Software and Data Integrity Failures
- 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
Upgrade to Python 2.5.2 or higher.
Vulnerable code sample
from PIL import Image
def crop(image, box):
left, upper, right, lower = box
return image.crop(box)
if __name__ == "__main__":
img = Image.open("example.jpg")
crop_box = (0, 0, 1000000000, 1000000000)
cropped_image = crop(img, crop_box)
cropped_image.show()Patched code sample
import sys
from PIL import Image
def crop(image, box):
if any(not isinstance(coord, int) or coord < 0 for coord in box):
raise ValueError("Coordinates must be non-negative integers.")
width, height = image.size
left, upper, right, lower = box
if left >= right or upper >= lower or right > width or lower > height:
raise ValueError("Invalid crop box dimensions.")
return image.crop(box)
if __name__ == "__main__":
img = Image.open("example.jpg")
crop_box = (0, 0, 100, 100)
cropped_image = crop(img, crop_box)
cropped_image.show()Cite this entry
@misc{vaitp:cve20084864,
title = {{Multiple integer overflows in imageop.c}},
author = {Bogaerts, Fr\'ed\'eric and Ivaki, Naghmeh and Fonseca, Jos\'e},
year = {2008},
note = {VAITP Python Vulnerability Dataset, entry CVE-2008-4864},
howpublished = {\url{https://netpack.pt/vaitp/vulnerability/CVE-2008-4864/}}
}
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 ::
