ghsa-63cw-57p8-fm3p
CVSS 8.8 pysec### Summary A vulnerability in PyTorch's `weights_only` unpickler allows an attacker to craft a malicious checkpoint file (`.pth`) that, when loaded with `torch.load(..., weights_only=True)`, can corrupt memory and potentially lead to arbitrary code execution. ### Vulnerability Details The `weights_only=True` unpickler failed to properly validate pickle opcodes and storage metadata, allowing: 1. **Heap memory corruption** via `SETITEM`/`SETITEMS` opcodes applied to non-dictionary types 2. **Storage size mismatch** between declared element count and actual data in the archive ### Impact An attacker who can convince a user to load a malicious checkpoint file may achieve arbitrary code execution in the context of the victim's process. # Credit Ji'an Zhou
- Published
- unknown
- Last Modified
- unknown
CVSS details not available.
No product information available.
- https://github.com/pytorch/pytorch/security/advisories/GHSA-63cw-57p8-fm3p
- https://nvd.nist.gov/vuln/detail/CVE-2026-24747
- https://github.com/pytorch/pytorch/issues/163105
- https://access.redhat.com/errata/RHSA-2026:24977
- https://access.redhat.com/security/cve/CVE-2026-24747
- https://bugzilla.redhat.com/show_bug.cgi?id=2433612
- https://github.com/advisories/GHSA-63cw-57p8-fm3p
- https://github.com/pypa/advisory-database/tree/main/vulns/pytorch/PYSEC-2026-1856.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/torch/PYSEC-2026-2286.yaml
- https://github.com/pytorch/pytorch
- https://github.com/pytorch/pytorch/163122/commit/954dc5183ee9205cbe79876ad05dd2d9ae752139
- https://github.com/pytorch/pytorch/releases/tag/v2.10.0
- https://pypi.org/project/pytorch
- https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-24747.json
No linked vulnerabilities found.
{
"affected": [
{
"database_specific": {
"source": "https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2026/01/GHSA-63cw-57p8-fm3p/GHSA-63cw-57p8-fm3p.json"
},
"package": {
"ecosystem": "PyPI",
"name": "torch",
"purl": "pkg:pypi/torch"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.10.0"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"1.0.0",
"1.0.1",
"1.1.0",
"1.10.0",
"1.10.1",
"1.10.2",
"1.11.0",
"1.12.0",
"1.12.1",
"1.13.0",
"1.13.1",
"1.2.0",
"1.3.0",
"1.3.1",
"1.4.0",
"1.5.0",
"1.5.1",
"1.6.0",
"1.7.0",
"1.7.1",
"1.8.0",
"1.8.1",
"1.9.0",
"1.9.1",
"2.0.0",
"2.0.1",
"2.1.0",
"2.1.1",
"2.1.2",
"2.2.0",
"2.2.1",
"2.2.2",
"2.3.0",
"2.3.1",
"2.4.0",
"2.4.1",
"2.5.0",
"2.5.1",
"2.6.0",
"2.7.0",
"2.7.1",
"2.8.0",
"2.9.0",
"2.9.1"
]
}
],
"aliases": [
"BIT-pytorch-2026-24747",
"CVE-2026-24747",
"PYSEC-2026-1856",
"PYSEC-2026-2286"
],
"database_specific": {
"cwe_ids": [
"CWE-502",
"CWE-94"
],
"github_reviewed": true,
"github_reviewed_at": "2026-01-27T20:10:54Z",
"nvd_published_at": "2026-01-27T22:15:56Z",
"severity": "HIGH"
},
"details": "### Summary\n\nA vulnerability in PyTorch's `weights_only` unpickler allows an attacker to craft a malicious checkpoint file (`.pth`) that, when loaded with `torch.load(..., weights_only=True)`, can corrupt memory and potentially lead to arbitrary code execution.\n\n### Vulnerability Details\n\nThe `weights_only=True` unpickler failed to properly validate pickle opcodes and storage metadata, allowing:\n\n1. **Heap memory corruption** via `SETITEM`/`SETITEMS` opcodes applied to non-dictionary types\n2. **Storage size mismatch** between declared element count and actual data in the archive\n\n### Impact\n\nAn attacker who can convince a user to load a malicious checkpoint file may achieve arbitrary code execution in the context of the victim's process.\n\n\n# Credit\nJi'an Zhou",
"id": "GHSA-63cw-57p8-fm3p",
"modified": "2026-11-04T03:15:10.870748916Z",
"published": "2026-01-27T20:10:54Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/pytorch/pytorch/security/advisories/GHSA-63cw-57p8-fm3p"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-24747"
},
{
"type": "WEB",
"url": "https://github.com/pytorch/pytorch/issues/163105"
},
{
"type": "WEB",
"url": "https://access.redhat.com/errata/RHSA-2026:24977"
},
{
"type": "WEB",
"url": "https://access.redhat.com/security/cve/CVE-2026-24747"
},
{
"type": "WEB",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=2433612"
},
{
"type": "ADVISORY",
"url": "https://github.com/advisories/GHSA-63cw-57p8-fm3p"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/pytorch/PYSEC-2026-1856.yaml"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/torch/PYSEC-2026-2286.yaml"
},
{
"type": "PACKAGE",
"url": "https://github.com/pytorch/pytorch"
},
{
"type": "WEB",
"url": "https://github.com/pytorch/pytorch/163122/commit/954dc5183ee9205cbe79876ad05dd2d9ae752139"
},
{
"type": "WEB",
"url": "https://github.com/pytorch/pytorch/releases/tag/v2.10.0"
},
{
"type": "WEB",
"url": "https://pypi.org/project/pytorch"
},
{
"type": "WEB",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-24747.json"
}
],
"schema_version": "1.9.2",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
],
"summary": "PyTorch Vulnerable to Remote Code Execution via Untrusted Checkpoint Files"
}