Starlite is an Asynchronous Server Gateway Interface (ASGI) framework. Prior to version 1.5.2, the request body parsing in `starlite` allows a potentially unauthenticated attacker to consume a large amount of CPU time and RAM. The multipart body parser processes an unlimited number of file parts and an unlimited number of field parts. This is a remote, potentially unauthenticated Denial of Service vulnerability. This vulnerability affects applications with a request handler that accepts a `Body(media_type=RequestEncodingType.MULTI_PART)`. The large amount of CPU time required for processing requests can block all available worker processes and significantly delay or slow down the processing of legitimate user requests. The large amount of RAM accumulated while processing requests can lead to Out-Of-Memory kills. Complete DoS is achievable by sending many concurrent multipart requests in a loop. Version 1.51.2 contains a patch for this issue.
Published 2023-02-15 15:15:12
Updated 2023-02-24 16:16:25
Source GitHub, Inc.
View at NVD,   CVE.org
Vulnerability category: Denial of service

Products affected by CVE-2023-25578

Exploit prediction scoring system (EPSS) score for CVE-2023-25578

0.13%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 48 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2023-25578

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Score Source First Seen
7.5
HIGH CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
3.9
3.6
NIST
7.5
HIGH CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
3.9
3.6
GitHub, Inc.

CWE ids for CVE-2023-25578

  • The product allocates a reusable resource or group of resources on behalf of an actor without imposing any restrictions on the size or number of resources that can be allocated, in violation of the intended security policy for that actor.
    Assigned by:
    • nvd@nist.gov (Primary)
    • security-advisories@github.com (Secondary)

References for CVE-2023-25578

Jump to
This web site uses cookies for managing your session, storing preferences, website analytics and additional purposes described in our privacy policy.
By using this web site you are agreeing to CVEdetails.com terms of use!