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CVE-2020-10994 affects the Pillow library (Python Imaging Library) versions before 7.1.0. The vulnerability involves multiple out-of-bounds reads in the libImaging/Jpeg2KDecode.c component when processing JPEG 2000 (JP2) image files. The vulnerability was discovered and disclosed in March 2020, with fixes released in Pillow 7.1.0 on April 1, 2020 (Pillow Release Notes).
The vulnerability exists in the JPEG 2000 decoding functionality of Pillow, specifically in the libImaging/Jpeg2KDecode.c component. When processing specially crafted JP2 files, the decoder can perform multiple out-of-bounds read operations. The vulnerability has been assigned a CVSS v3.1 score of 5.5 (Medium), with the vector string CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H, indicating local attack vector, low attack complexity, no privileges required, user interaction required, unchanged scope, no impact on confidentiality and integrity, but high impact on availability (Ubuntu Security).
If exploited, this vulnerability could allow an attacker to cause Pillow to crash when processing specially crafted JP2 image files, resulting in a denial of service condition. The vulnerability requires user interaction, such as opening a malicious image file, and primarily affects the availability of the application (USN-4430-1).
The vulnerability requires local access and user interaction to exploit. An attacker would need to craft a malicious JP2 file and convince a user or automated system to process it using a vulnerable version of Pillow. The attack complexity is considered low, meaning it does not require special conditions or significant preparation to exploit (Ubuntu Security).
The vulnerability was fixed in Pillow version 7.1.0. Users should upgrade to this version or later to mitigate the risk. Various Linux distributions have also released security updates to address this vulnerability, including Ubuntu 20.04 LTS (python3-pil 7.0.0-4ubuntu0.1), Ubuntu 18.04 (python-pil 5.1.0-1ubuntu0.3), and Fedora (python-pillow-6.2.2-3.fc31) (USN-4430-2, Fedora Update).
Source: This report was generated using AI
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