PYSEC-2026-1351
Vulnerability from pysec - Published: 2026-07-07 16:03 - Updated: 2026-07-07 17:24
VLAI
Details
An integer overflow vulnerability in the loading of ExecuTorch models can cause smaller-than-expected memory regions to be allocated, potentially resulting in code execution or other undesirable effects. This issue affects ExecuTorch prior to commit 8f062d3f661e20bb19b24b767b9a9a46e8359f2b.
Severity
Impacted products
| Name | purl | executorch | pkg:pypi/executorch |
|---|
Aliases
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "executorch",
"purl": "pkg:pypi/executorch"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"last_affected": "0.6.0"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"0.1.0",
"0.1.2",
"0.2.0",
"0.2.1",
"0.3.0",
"0.4.0",
"0.5.0",
"0.6.0"
]
}
],
"aliases": [
"CVE-2025-54952",
"GHSA-33r8-vrx9-rmcv"
],
"details": "An integer overflow vulnerability in the loading of ExecuTorch models can cause smaller-than-expected memory regions to be allocated, potentially resulting in code execution or other undesirable effects. This issue affects ExecuTorch prior to commit 8f062d3f661e20bb19b24b767b9a9a46e8359f2b.",
"id": "PYSEC-2026-1351",
"modified": "2026-07-07T17:24:06.537574Z",
"published": "2026-07-07T16:03:00.648100Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-54952"
},
{
"type": "WEB",
"url": "https://github.com/pytorch/executorch/commit/8f062d3f661e20bb19b24b767b9a9a46e8359f2b"
},
{
"type": "PACKAGE",
"url": "https://github.com/pytorch/executorch"
},
{
"type": "WEB",
"url": "https://www.facebook.com/security/advisories/cve-2025-54952"
},
{
"type": "PACKAGE",
"url": "https://pypi.org/project/executorch"
},
{
"type": "ADVISORY",
"url": "https://github.com/advisories/GHSA-33r8-vrx9-rmcv"
}
],
"severity": [
{
"score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:U",
"type": "CVSS_V4"
}
],
"summary": "ExecuTorch integer overflow vulnerability leads to code execution"
}
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…
Loading…