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CVE-2026-12480

Arbitrary HDF5 File Read via Virtual Dataset Bypass in keras-team/keras

5.5 MediumFix available

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.

Attack profile

How easy it is to exploit

Attack vector
Local
Complexity
Low
Privileges needed
None
User interaction
Required

What an attacker can affect

Confidentiality
High
Integrity
None
Availability
None

Exploit likelihood

0.19%Up 0.1 points since Jul 2, 2026
90%50%10%1%

What each source reports

CVE List Score used 5.5

Arbitrary HDF5 File Read via Virtual Dataset Bypass in keras-team/keras

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.

Record
CVE-2026-12480
CVSS 3.0
5.5 MediumCVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N
Weakness
CWE-73
Updated
2026-11-02
EUVDEUVD-2026-41090 5.5

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.

Record
EUVD-2026-41090
CVSS 3.0
5.5 MediumCVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N
Updated
2026-11-02
GitHub AdvisoriesGHSA-26c4-7vv6-867j 5.5

Keras: HDF5 virtual datasets can disclose local files

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.

Record
GHSA-26c4-7vv6-867j
CVSS 3.0
5.5 MediumCVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N
Weakness
CWE-73
Updated
2026-11-02
NVD 5.5

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.

Record
CVE-2026-12480
CVSS 3.0
5.5 MediumCVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N
Weakness
CWE-73
Updated
2026-11-02
OSV 5.5

Arbitrary HDF5 File Read via Virtual Dataset Bypass in keras-team/keras

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.

Record
CVE-2026-12480
CVSS 3.0
5.5 MediumCVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N
Weakness
CWE-73
Updated
2026-11-02
OSVDEBIAN-CVE-2026-12480 5.5

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.

Record
DEBIAN-CVE-2026-12480
CVSS 3.0
5.5 MediumCVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N
Updated
2026-11-02
Show 4 moreShow less
OSVGHSA-26c4-7vv6-867j 5.5

Keras: HDF5 virtual datasets can disclose local files

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.

Record
GHSA-26c4-7vv6-867j
CVSS 3.0
5.5 MediumCVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N
Weakness
CWE-73
Updated
2026-11-02
OSVPYSEC-2026-3629 5.5

Keras: HDF5 virtual datasets can disclose local files

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.

Record
PYSEC-2026-3629
CVSS 3.0
5.5 MediumCVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N
Updated
2026-11-02
OSVUBUNTU-CVE-2026-12480 5.5

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.

Record
UBUNTU-CVE-2026-12480
CVSS 3.0
5.5 MediumCVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N
Updated
2026-11-02
OSVAZL-92027 No score

CVE-2026-12480 affecting package keras for versions less than 3.3.3-8

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.

Record
AZL-92027
Updated
2026-11-05

Affected products

Affected packages

Affected packages
PackageAffectedFixed
keras
PyPI
 before 3.12.3
3.12.3
keras
PyPI
 3.13.0 up to 3.15.0
3.15.0
keras
Azure Linux:3
 before 3.3.3-8
3.3.3-8
keras
Debian:11
 All versions, plus listed versions
2.3.1+dfsg-32.3.1+dfsg2-1
 None known
keras
PyPI
 before 3.12.3, plus listed versions
0.2.00.3.00.3.10.3.20.3.3
Show 45 moreShow less
1.0.01.0.11.0.21.0.31.0.41.0.51.0.61.0.71.0.81.1.01.1.11.1.21.2.01.2.11.2.22.0.02.0.12.0.22.0.32.0.42.0.52.0.62.0.72.0.82.0.92.1.02.1.12.1.22.1.32.1.42.1.52.1.62.10.02.10.0rc02.10.0rc12.11.02.11.0rc02.11.0rc12.11.0rc22.11.0rc32.12.02.12.0rc02.12.0rc12.13.12.13.1rc0
3.12.3
keras
PyPI
 3.13.0 up to 3.15.0, plus listed versions
3.13.13.13.23.14.03.14.1
3.15.0
keras
PyPI
 before 3.12.3, 3.13.0 up to 3.15.0, plus listed versions
0.2.00.3.00.3.10.3.20.3.3
Show 45 moreShow less
1.0.01.0.11.0.21.0.31.0.41.0.51.0.61.0.71.0.81.1.01.1.11.1.21.2.01.2.11.2.22.0.02.0.12.0.22.0.32.0.42.0.52.0.62.0.72.0.82.0.92.1.02.1.12.1.22.1.32.1.42.1.52.1.62.10.02.10.0rc02.10.0rc12.11.02.11.0rc02.11.0rc12.11.0rc22.11.0rc32.12.02.12.0rc02.12.0rc12.13.12.13.1rc0
3.12.33.15.0
keras
Ubuntu:18.04:LTS
 All versions, plus listed versions
1.0.7-22.1.1-1
 None known
keras
Ubuntu:20.04:LTS
 All versions, plus listed versions
2.2.4-1
 None known

History

History
RecordedChangedSources
factsOSV
first indexedCVE List, EUVD, GitHub Advisories, NVD, OSV

Dates are when Every CVE recorded each change. Upstream dates may differ.

In short

CVE-2026-12480 is a medium vulnerability (CVSS 5.5) in Keras-team Keras-team/keras, published July 1, 2026. No source lists public exploit code. EPSS puts the chance of exploitation in the next 30 days at 0.19%, the 8th percentile. Fixed in keras 3.12.3.

References

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Left out here: 134 versions. The JSON record has them.

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