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Lookup for vulnerable packages by Package URL.

Purlpkg:pypi/keras@3.13.1
Typepypi
Namespace
Namekeras
Version3.13.1
Qualifiers
Subpath
Is_vulnerabletrue
Next_non_vulnerable_versionnull
Latest_non_vulnerable_versionnull
Affected_by_vulnerabilities
0
url VCID-ptyp-n4df-aqf1
vulnerability_id VCID-ptyp-n4df-aqf1
summary 
Duplicate Advisory: Keras vulnerable to arbitrary file read in the model loading mechanism (HDF5 integration)
## Duplicate Advisory
This advisory has been withdrawn because it is a duplicate of GHSA-3m4q-jmj6-r34q. This link is maintained to preserve external references.

## Original Description
Arbitrary file read in the model loading mechanism (HDF5 integration) in Keras versions 3.0.0 through 3.13.1 on all supported platforms allows a remote attacker to read local files and disclose sensitive information via a crafted .keras model file utilizing HDF5 external dataset references.
references
0
reference_url https://github.com/google/security-research/security/advisories
reference_id
reference_type
scores
url https://github.com/google/security-research/security/advisories
1
reference_url https://github.com/keras-team/keras
reference_id
reference_type
scores
url https://github.com/keras-team/keras
2
reference_url https://nvd.nist.gov/vuln/detail/CVE-2026-1669
reference_id CVE-2026-1669
reference_type
scores
url https://nvd.nist.gov/vuln/detail/CVE-2026-1669
3
reference_url https://github.com/advisories/GHSA-gfmx-qqqh-f38q
reference_id GHSA-gfmx-qqqh-f38q
reference_type
scores
url https://github.com/advisories/GHSA-gfmx-qqqh-f38q
fixed_packages
aliases GHSA-gfmx-qqqh-f38q
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-ptyp-n4df-aqf1
Fixing_vulnerabilities
0
url VCID-1xj9-1kng-8ua4
vulnerability_id VCID-1xj9-1kng-8ua4
summary 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.
references
0
reference_url https://github.com/keras-team/keras/pull/21880
reference_id
reference_type
scores
0
value 7.5
scoring_system cvssv3.1
scoring_elements CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
url https://github.com/keras-team/keras/pull/21880
fixed_packages
0
url pkg:pypi/keras@3.13.1
purl pkg:pypi/keras@3.13.1
is_vulnerable true
affected_by_vulnerabilities
0
vulnerability VCID-ptyp-n4df-aqf1
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/keras@3.13.1
aliases CVE-2026-0897, PYSEC-2026-73
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-1xj9-1kng-8ua4
Risk_scorenull
Resource_urlhttp://public2.vulnerablecode.io/packages/pkg:pypi/keras@3.13.1