
Cloud Vulnerability DB
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The vulnerability (CVE-2023-30798) affects the MultipartParser usage in Encode's Starlette python framework versions before 0.25.0. This security flaw was discovered and disclosed in April 2023, allowing unauthenticated remote attackers to cause denial of service through excessive memory usage. The vulnerability specifically impacts applications using the python-multipart package with Starlette's form parsing functionality (VulnCheck Advisory, GitHub Advisory).
The vulnerability is classified as an Uncontrolled Resource Consumption (CWE-400) issue with a CVSS v3.1 score of 7.5 (High). The attack vector is network-accessible (AV:N) with low attack complexity (AC:L), requiring no privileges (PR:N) or user interaction (UI:N). The scope is unchanged (S:U), with no impact on confidentiality (C:N) or integrity (I:N), but high impact on availability (A:H) (VulnCheck Advisory).
When exploited, the vulnerability allows attackers to cause excessive CPU and memory usage by sending numerous small form fields with no content or multiple empty files. This can eventually lead to an Out of Memory (OOM) process kill, resulting in denial of service of the HTTP service (GitHub Advisory).
The vulnerability was patched in Starlette version 0.25.0 by implementing customizable limits for maximum fields and files with a default value of 1000. For older versions, workarounds include avoiding the installation of python-multipart or using request.stream() instead of request.form() to parse form data internally. The recommended solution is to upgrade to Starlette version 0.25.0 or later (GitHub Advisory).
Source: This report was generated using AI
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