BREW-KIMI-CLI-CVE-2026-53540 (GHSA-V9PG-7XVM-68HF)
Vulnerability from osv_homebrew – Published: 2026-08-13 17:01 – Updated: 2026-09-17 20:03 – Source websiteSummary
parse_form() did not validate the Content-Length header before using it to bound its chunked read of the request body. A negative Content-Length turned the bounded read into a read-until-EOF, so the entire body was loaded into memory in a single read instead of in fixed-size chunks.
Details
parse_form() reads the input stream in chunks, never reading more than the remaining Content-Length at a time. The per-chunk size is computed as min(content_length - bytes_read, chunk_size). The header value was parsed to an integer without checking its sign, so a Content-Length of -1 made this expression negative, and input_stream.read(-1) reads until end of stream. The intended bounded, chunked read therefore collapsed into a single unbounded read of the whole stream. The amount read is still bounded by what the client actually sends.
Impact
This only affects code that calls parse_form() directly with a Content-Length header taken from attacker-controlled input and without normalizing a negative value first. No known package is affected:
- Starlette and FastAPI drive
MultipartParserdirectly from the ASGIreceive()stream and do not callparse_form(). - Known
parse_form()consumers either do not forwardContent-Lengthto it, recompute it from the already-read body, or run behind a layer (such as Werkzeug) that normalizes a negativeContent-Lengthto0.
The realistic exposure is limited to bespoke WSGI or http.server handlers that forward raw client headers into parse_form(). In that case a crafted request buffers the body in memory at once, degrading availability under concurrent requests rather than causing a complete denial of service.
Mitigation
Upgrade to version 0.0.31 or later, which rejects a negative Content-Length with a ValueError before reading the stream.
{
"affected": [
{
"ecosystem_specific": {
"fix": "bump",
"range_state": "fixed",
"resource": "python-multipart",
"resource_purl": "pkg:pypi/python-multipart@0.0.32",
"upstream_fixed_in": "0.0.31"
},
"package": {
"ecosystem": "Homebrew",
"name": "kimi-cli",
"purl": "pkg:brew/kimi-cli"
},
"ranges": [
{
"events": [
{
"introduced": "0.40"
},
{
"fixed": "1.47.0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"confidence": "high",
"source": "matched",
"strategy": "registry",
"upstream_evidence": [
{
"ecosystem": "PyPI",
"key": "pkg:pypi/python-multipart@0.0.32",
"name": "python-multipart",
"resource": "python-multipart",
"strategy": "registry",
"subject_version": "0.0.32"
}
]
},
"details": "### Summary\n\n`parse_form()` did not validate the `Content-Length` header before using it to bound its chunked read of the request body. A negative `Content-Length` turned the bounded read into a read-until-EOF, so the entire body was loaded into memory in a single read instead of in fixed-size chunks.\n\n### Details\n\n`parse_form()` reads the input stream in chunks, never reading more than the remaining `Content-Length` at a time. The per-chunk size is computed as `min(content_length - bytes_read, chunk_size)`. The header value was parsed to an integer without checking its sign, so a `Content-Length` of `-1` made this expression negative, and `input_stream.read(-1)` reads until end of stream. The intended bounded, chunked read therefore collapsed into a single unbounded read of the whole stream. The amount read is still bounded by what the client actually sends.\n\n### Impact\n\nThis only affects code that calls `parse_form()` directly with a `Content-Length` header taken from attacker-controlled input and without normalizing a negative value first. No known package is affected:\n\n* Starlette and FastAPI drive `MultipartParser` directly from the ASGI `receive()` stream and do not call `parse_form()`.\n* Known `parse_form()` consumers either do not forward `Content-Length` to it, recompute it from the already-read body, or run behind a layer (such as Werkzeug) that normalizes a negative `Content-Length` to `0`.\n\nThe realistic exposure is limited to bespoke WSGI or `http.server` handlers that forward raw client headers into `parse_form()`. In that case a crafted request buffers the body in memory at once, degrading availability under concurrent requests rather than causing a complete denial of service.\n\n### Mitigation\n\nUpgrade to version `0.0.31` or later, which rejects a negative `Content-Length` with a `ValueError` before reading the stream.",
"id": "BREW-kimi-cli-CVE-2026-53540",
"modified": "2026-09-17T20:03:17Z",
"published": "2026-08-13T17:01:40Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/Kludex/python-multipart/security/advisories/GHSA-v9pg-7xvm-68hf"
},
{
"type": "PACKAGE",
"url": "https://github.com/Kludex/python-multipart"
}
],
"schema_version": "1.7.3",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:L",
"type": "CVSS_V3"
}
],
"summary": "python-multipart: Negative Content-Length in parse_form buffers the entire body in memory",
"upstream": [
"GHSA-v9pg-7xvm-68hf",
"CVE-2026-53540",
"PYSEC-2026-3040"
]
}
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.