Cloud Vulnerability DB
An open project to list all known cloud vulnerabilities and Cloud Service Provider security issues
Vulnerability DatabaseCVE-2024-32035
CVE-2024-32035:
C# vulnerability analysis and mitigation
Overview
A vulnerability (CVE-2024-32035) was discovered in the ImageSharp library, affecting versions prior to 2.1.8 and 3.1.4. The vulnerability allows processing of specially crafted files that can lead to excessive memory usage in image decoders, potentially causing denial of service (DoS) through process memory depletion (GitHub Advisory).
Technical details
The vulnerability is related to memory allocation with excessive size values (CWE-789) in the image processing pipeline. When ImageSharp attempts to process specially crafted image files, it can lead to uncontrolled memory consumption. The issue has been assigned a CVSS v3.1 base score of 5.3 (Medium) with vector string CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L, indicating it can be exploited remotely without requiring privileges or user interaction (GitHub Advisory).
Impact
The vulnerability can be exploited to cause a denial of service (DoS) by depleting process memory, affecting applications and services that rely on ImageSharp for image processing tasks. This can lead to reduced availability of the affected systems (GitHub Advisory).
Mitigation and workarounds
The vulnerability has been patched in versions 2.1.8 and 3.1.4. Users are strongly advised to upgrade to these versions. As a workaround, before calling Image.Decode(Async), users can use Image.Identify to determine the image dimensions to enforce a limit. Additionally, implementing authentication (such as HMAC), offloading to separate services/containers, using a reverse proxy, implementing rate limiting, and imposing conservative allocation limits through custom MemoryAllocator configuration are recommended security measures (ImageSharp Docs).
Additional resources
Source: This report was generated using AI
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