Denial of Service in Keras via Excessive Memory Allocation in HDF5 Metadata
21Vexday Risk Score
No sign of exploitation. No public exploitation artifact known so far.
ssvc Trackcvss 7.1epss 0.3%
exploitation probability
0.3%top 73% of all CVEs
observed exploitation
nono source reports it
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.
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N
Affected products
Google · KerasReferences
https://access.redhat.com/errata/RHSA-2026:3713https://access.redhat.com/errata/RHSA-2026:3782https://access.redhat.com/errata/RHSA-2026:4271https://access.redhat.com/security/cve/CVE-2026-0897https://bugzilla.redhat.com/show_bug.cgi?id=2430027https://github.com/keras-team/keras/pull/21880https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-0897.json