Medium severity · published Jul 1, 2026
CVE-2026-12480
Arbitrary HDF5 File Read via Virtual Dataset Bypass in keras-team/keras
5.5
CVSS
0.2%
EPSS
No
On KEV
Description
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.
CVSS vector
CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N
Attack vector
Local
Complexity
Low
Privileges
None
User interaction
Required
Confidentiality
High
Integrity
None
Availability
None
Scope
Unchanged
Exploitation
Is it being used?
Exploit prediction (EPSS)0.2% · higher than 9% of CVEs
Exploited in the wildNo evidence yet
CISA KEVNot listed
Ransomware campaign useNot known
Affected products
Which versions
KE
keras-team/keras · keras-team
before 3.12.2, 3.14.1 · source: vendor
References
NVD
https://nvd.nist.gov/vuln/detail/CVE-2026-12480
CVE.org
https://www.cve.org/CVERecord?id=CVE-2026-12480
github.com
https://github.com/keras-team/keras/commit/d5a88bdb137c0d3039b8f4bbbe8c7099925cc10c
huntr.com
https://huntr.com/bounties/1875d257-5b03-4a69-ac70-e98653fa12c7
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