Python-Multipart — CraftedSignal Threat Feedhttps://feed.craftedsignal.io/tags/python-multipart/Trending threats, MITRE ATT&CK coverage, and detection metadata — refreshed continuously.Hugoenhello@craftedsignal.iohello@craftedsignal.ioTue, 02 Jan 2024 12:00:00 +0000Python-Multipart Denial of Service Vulnerabilityhttps://feed.craftedsignal.io/briefs/2024-01-python-multipart-dos/Tue, 02 Jan 2024 12:00:00 +0000hello@craftedsignal.iohttps://feed.craftedsignal.io/briefs/2024-01-python-multipart-dos/A denial-of-service vulnerability exists in python-multipart versions prior to 0.0.27 due to unbounded multipart part header parsing, allowing attackers to exhaust CPU resources by sending requests with many repeated headers or a single oversized header value.The python-multipart library is vulnerable to a denial-of-service (DoS) attack due to unbounded header parsing. This vulnerability affects applications parsing multipart/form-data using versions of python-multipart prior to 0.0.27. An attacker can exploit this by sending a crafted HTTP request containing either numerous repeated headers without terminating the header block or a single, excessively large header value. This leads to excessive CPU consumption as the server attempts to parse the oversized or numerous headers, potentially causing significant delays or service interruption. ASGI applications such as Starlette and FastAPI, which rely on python-multipart, are particularly susceptible.

Attack Chain

  1. An attacker crafts a malicious HTTP POST request with a multipart/form-data content type.
  2. The malicious request contains either a large number of repeated header lines or a single, oversized header value within a multipart part.
  3. The request is sent to a web server running an application that uses python-multipart to parse multipart form data.
  4. The MultipartParser in python-multipart attempts to parse the headers.
  5. Due to the lack of limits on header count and size in vulnerable versions, the parsing process consumes excessive CPU resources.
  6. The server’s worker or event loop becomes delayed while processing the malicious request.
  7. This delay can lead to a denial of service, as the server is unable to efficiently handle legitimate requests.

Impact

Successful exploitation of this vulnerability leads to CPU exhaustion on the targeted server, causing delays or interruptions in service. ASGI applications utilizing Starlette, FastAPI, or similar frameworks are at risk. The number of victims depends on the popularity and exposure of the affected applications. The impact includes potential downtime, reduced application performance, and a negative user experience.

Recommendation

  • Upgrade to python-multipart version 0.0.27 or later to apply the fix that enforces limits on header count and size.
  • If an immediate upgrade is not feasible, implement request body size limits at the server, proxy, or framework level to reduce the potential impact, as recommended in the advisory.
  • Monitor web server logs for requests with unusually large header sizes or a high number of headers, using detection rules targeting anomalous header behavior.
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