Django REST framework

Package Instance

Lookup for vulnerable packages by Package URL.

Purlpkg:pypi/onnx@1.18.0
Typepypi
Namespace
Nameonnx
Version1.18.0
Qualifiers
Subpath
Is_vulnerabletrue
Next_non_vulnerable_version1.21.0
Latest_non_vulnerable_version1.21.0
Affected_by_vulnerabilities
0
url VCID-7djm-gpg9-yfgg
vulnerability_id VCID-7djm-gpg9-yfgg
summary Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. Prior to version 1.21.0, there is a symlink traversal vulnerability in external data loading allows reading files outside the model directory. This issue has been patched in version 1.21.0.
references
0
reference_url https://github.com/onnx/onnx/security/advisories/GHSA-p433-9wv8-28xj
reference_id
reference_type
scores
0
value 5.5
scoring_system cvssv3.1
scoring_elements CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N
url https://github.com/onnx/onnx/security/advisories/GHSA-p433-9wv8-28xj
fixed_packages
0
url pkg:pypi/onnx@1.21.0
purl pkg:pypi/onnx@1.21.0
is_vulnerable false
affected_by_vulnerabilities
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/onnx@1.21.0
aliases CVE-2026-34447, GHSA-p433-9wv8-28xj, PYSEC-2026-104
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-7djm-gpg9-yfgg
1
url VCID-u796-p1fa-ubf5
vulnerability_id VCID-u796-p1fa-ubf5
summary Open Neural Network Exchange (ONNX) is an open standard for machine learning interoperability. In versions up to and including 1.20.1, a security control bypass exists in onnx.hub.load() due to improper logic in the repository trust verification mechanism. While the function is designed to warn users when loading models from non-official sources, the use of the silent=True parameter completely suppresses all security warnings and confirmation prompts. This vulnerability transforms a standard model-loading function into a vector for Zero-Interaction Supply-Chain Attacks. When chained with file-system vulnerabilities, an attacker can silently exfiltrate sensitive files (SSH keys, cloud credentials) from the victim's machine the moment the model is loaded. As of time of publication, no known patched versions are available.
references
0
reference_url https://github.com/onnx/onnx/security/advisories/GHSA-hqmj-h5c6-369m
reference_id
reference_type
scores
0
value 9.1
scoring_system cvssv3.1
scoring_elements CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N
url https://github.com/onnx/onnx/security/advisories/GHSA-hqmj-h5c6-369m
1
reference_url https://github.com/ZeroXJacks/CVEs/blob/main/2026/CVE-2026-28500.md
reference_id
reference_type
scores
0
value 9.1
scoring_system cvssv3.1
scoring_elements CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N
url https://github.com/ZeroXJacks/CVEs/blob/main/2026/CVE-2026-28500.md
fixed_packages
0
url pkg:pypi/onnx@1.21.0rc1
purl pkg:pypi/onnx@1.21.0rc1
is_vulnerable true
affected_by_vulnerabilities
0
vulnerability VCID-7djm-gpg9-yfgg
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/onnx@1.21.0rc1
aliases CVE-2026-28500, GHSA-hqmj-h5c6-369m, PYSEC-2026-103
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-u796-p1fa-ubf5
Fixing_vulnerabilities
Risk_scorenull
Resource_urlhttp://public2.vulnerablecode.io/packages/pkg:pypi/onnx@1.18.0