PYSEC-2026-3625
Vulnerability from pysec - Published: 2026-06-30 22:16 - Updated: 2026-08-07 09:08
VLAI
Details
MessagePack is the serializer implementation for Python msgpack.org. Prior to 1.2.1, there is an Out-of-bounds read/crash on Unpacker reuse after a caught error, potentially leading to a DoS attack. If the Unpacker is used repeatedly after an error occurs, the process may crash with a SEGV. This issue has been fixed in version 1.2.1.
Severity
7.5 (High)
Impacted products
| Name | purl | msgpack | pkg:pypi/msgpack |
|---|
Aliases
{
"affected": [
{
"ecosystem_specific": {},
"package": {
"ecosystem": "PyPI",
"name": "msgpack",
"purl": "pkg:pypi/msgpack"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "1.2.1"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"0.5.0",
"0.5.1",
"0.5.2",
"0.5.3",
"0.5.4",
"0.5.5",
"0.5.6",
"0.6.0",
"0.6.1",
"0.6.2",
"1.0.0",
"1.0.0rc1",
"1.0.1",
"1.0.2",
"1.0.3",
"1.0.3rc1",
"1.0.4",
"1.0.4rc1",
"1.0.5",
"1.0.5rc1",
"1.0.6",
"1.0.6rc1",
"1.0.7",
"1.0.8",
"1.1.0",
"1.1.0rc1",
"1.1.0rc2",
"1.1.1",
"1.1.1rc1",
"1.1.2",
"1.2.0",
"1.2.0rc1"
]
}
],
"aliases": [
"CVE-2026-57585",
"GHSA-6v7p-g79w-8964"
],
"details": "MessagePack is the serializer implementation for Python msgpack.org. Prior to 1.2.1, there is an Out-of-bounds read/crash on Unpacker reuse after a caught error, potentially leading to a DoS attack. If the Unpacker is used repeatedly after an error occurs, the process may crash with a SEGV. This issue has been fixed in version 1.2.1.",
"id": "PYSEC-2026-3625",
"modified": "2026-08-07T09:08:06.271171Z",
"published": "2026-06-30T22:16:57.837Z",
"references": [
{
"type": "ADVISORY",
"url": "https://github.com/msgpack/msgpack-python/security/advisories/GHSA-6v7p-g79w-8964"
},
{
"type": "FIX",
"url": "https://github.com/msgpack/msgpack-python/commit/2c56ddb5d0025ed481d962c0f5d62d19dec7476d"
}
],
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
]
}
Loading…
Loading…
Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
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.
Loading…
The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
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.
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.
Loading…
Loading…