csirt@kutim:~/threat-intel/cve/CVE-2026-28500

Katalog CVE

CVSS 9.1 · Critical EPSS 0,31%

Kerentanan Insufficient Verification of Data Authenticity pada linuxfoundation onnx. Skor CVSS 3.1 9.1 (Critical) menurut NVD.

Deskripsi (NVD)

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.

Rincian

Terbit di NVD
18 Maret 2026
Terakhir diubah
15 Juli 2026
Status NVD
Modified
CVSS 3.1
9.1 (Critical), sumber NVD
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N · uraikan di kalkulator
Jenis kelemahan (CWE)
CWE-345: Insufficient Verification of Data Authenticity
CWE-494: Download of Code Without Integrity Check
CWE-693: Protection Mechanism Failure
CWE-829: Inclusion of Functionality from Untrusted Control Sphere
EPSS (30 hari)
0,31% peluang dieksploitasi; lebih tinggi dari 22,2% CVE lain

Produk dan versi terdampak

VendorProdukVersi terdampak
linuxfoundation onnx Semua versi hingga 1.20.1

> Data dari konfigurasi CPE di NVD.

Referensi dan perbaikan

Sumber: NVD · CVE.org · EPSS. Halaman ini disusun otomatis dari data tersebut; pembaruan terakhir 5 Okt 2026, 20:11 WITA. Kalau sistem di Perangkat Daerah memakai produk ini dan butuh bantuan, laporkan lewat kanal pelaporan.