CVE-2026-12480

mediumPriorität · verfolgen · 0EPSS 0.002 · 9. PerzentilEUUS
grimoire priorityP3 · Track
Exploitable?
—
no known exploitation
Likely / severe?
0.19% (9th) EPSS
CVSS 5.5 · medium
Is it mine?
3 products
Prüfe deine Angriffsfläche
Who says so?
3 sources
cnnvd · enisa_euvd · osv

EPSS · bewertet 2026-10-27

Keras versions up to and including 3.13.2 are vulnerable to an arbitrary HDF5 file read due to an incomplete fix for CVE-2026-1669. The vulnerability resides in the `H5IOStore._verify_dataset()` and `file_editor.py` methods, which fail to check the `dataset.is_virtual` property of HDF5 datasets. This allows an attacker to craft a malicious `.keras` model archive or `.h5` weights file containing a Virtual Dataset (VDS) that references external HDF5 files on the victim's filesystem. When the victim loads the model using `keras.models.load_model()` or `keras.saving.load_model()`, the external file is transparently read, leading to potential information disclosure. Fixed in versions 3.12.2 and 3.14.1.

01

cvss

Technischer Schweregrad, 0–10. Eine Zeile je Quelle.

5.5
010

Basiswert 0–10 · höher = schwerwiegender · Vektor überfahren zum Auflösen

v3.05.5mediumCVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:Nsecondary · ENISA EU
v3.05.5mediumCVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:Nsecondary · security@huntr.devAusnutzbarkeit 1.8 · Auswirkung 3.6
v3.05.5mediumCVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:Nsecondary · OSV
02

SSVC

Eine Handlungsentscheidung — aus Ausnutzung und Auswirkung.

Exploitation: poc · Automatable: no · Technical Impact: partialcoordinatorcisa_ssvcUS
03

schwächen

Die CWE-Schwächeklassen, zu denen dies gehört.

CWE-73USCWE-73US
04

betroffene Produkte (3)

Betroffene Produkte und Versionsbereiche.

05

Advisories (2)

Hersteller- und Ökosystem-Meldungen dazu.

  • GHSA-26c4-7vv6-867jKeras: HDF5 virtual datasets can disclose local files2026-07-01ghsa · osvUS

    Keras versions up to and including 3.13.2 are vulnerable to an arbitrary HDF5 file read due to an incomplete fix for CVE-2026-1669. The vulnerability resides in the `H5IOStore._verify_dataset()` and `file_editor.py` methods, which fail to check the `dataset.is_virtual` property of HDF5 datasets. This allows an attacker to craft a malicious `.keras` model archive or `.h5` weights file containing a Virtual Dataset (VDS) that references external HDF5 files on the victim's filesystem. When the victim loads the model using `keras.models.load_model()` or `keras.saving.load_model()`, the external file is transparently read, leading to potential information disclosure. Fixed in versions 3.12.3 and 3.15.0.

  • PYSEC-2026-3629Keras: HDF5 virtual datasets can disclose local files2026-08-10vendor · osvUS

    Keras versions up to and including 3.13.2 are vulnerable to an arbitrary HDF5 file read due to an incomplete fix for CVE-2026-1669. The vulnerability resides in the `H5IOStore._verify_dataset()` and `file_editor.py` methods, which fail to check the `dataset.is_virtual` property of HDF5 datasets. This allows an attacker to craft a malicious `.keras` model archive or `.h5` weights file containing a Virtual Dataset (VDS) that references external HDF5 files on the victim's filesystem. When the victim loads the model using `keras.models.load_model()` or `keras.saving.load_model()`, the external file is transparently read, leading to potential information disclosure. Fixed in versions 3.12.3 and 3.15.0.

06

auch bekannt als (6)

Weitere Namen und Kennungen dieser Entität.

07

quellen

Welche Quellen diesen Datensatz belegen und wann.

cnnvdenisa_euvdosvNVDCVE.orgMITRE
veröffentlicht 2026-07-01geändert 2026-10-25
08

Referenzen (6)

Externe Belege — Patches, Meldungen, Analysen.

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