PYSEC-2026-73
Vulnerability from pysec - Published: 2026-01-15 14:16 - Updated: 2026-05-20 09:19
VLAI?
Details
Allocation of Resources Without Limits or Throttling in the HDF5 weight loading component in Google Keras 3.0.0 through 3.13.0 on all platforms allows a remote attacker to cause a Denial of Service (DoS) through memory exhaustion and a crash of the Python interpreter via a crafted .keras archive containing a valid model.weights.h5 file whose dataset declares an extremely large shape.
Severity ?
7.5 (High)
Impacted products
| Name | purl | keras | pkg:pypi/keras |
|---|
Aliases
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "keras",
"purl": "pkg:pypi/keras"
},
"ranges": [
{
"events": [
{
"introduced": "3.0.0"
},
{
"fixed": "3.13.1"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"3.0.0",
"3.0.1",
"3.0.2",
"3.0.3",
"3.0.4",
"3.0.5",
"3.1.0",
"3.1.1",
"3.10.0",
"3.11.0",
"3.11.1",
"3.11.2",
"3.11.3",
"3.12.0",
"3.12.1",
"3.12.2",
"3.13.0",
"3.2.0",
"3.2.1",
"3.3.0",
"3.3.1",
"3.3.2",
"3.3.3",
"3.4.0",
"3.4.1",
"3.5.0",
"3.6.0",
"3.7.0",
"3.8.0",
"3.9.0",
"3.9.1",
"3.9.2"
]
}
],
"aliases": [
"CVE-2026-0897"
],
"details": "Allocation of Resources Without Limits or Throttling in the HDF5 weight loading component\u00a0in Google\u00a0Keras\u00a03.0.0 through 3.13.0\u00a0on all platforms\u00a0allows a remote attacker\u00a0to cause a Denial of Service (DoS) through memory exhaustion and a crash of the Python interpreter\u00a0via a crafted .keras archive containing a valid model.weights.h5 file whose dataset declares an extremely large shape.",
"id": "PYSEC-2026-73",
"modified": "2026-05-20T09:19:03.649604Z",
"published": "2026-01-15T14:16:26.890Z",
"references": [
{
"type": "FIX",
"url": "https://github.com/keras-team/keras/pull/21880"
}
],
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
]
}
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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.
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