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CVE-2026-28500 high CVSS 8.6

Vulnerability in onnx (CVE-2026-28500)

Summary

Vulnerability in onnx (CVE-2026-28500). Confidential information can be exposed externally. Mitigation: upgrade to 1.21.0rc1 or later.

Original description

The description as published by the source.

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.

Source: OSV.dev (Open Source Vulnerabilities) NVD GitHub Advisory OSV

Auto-generated summary

Assembled by SecPulse from the source data (CVSS, CWE, affected versions) using templates — no AI involved. Check the original description and references below for exact details.

A vulnerability tracked as CVE-2026-28500 has been found in onnx.
Confidential information can be exposed externally. CVSS score: 8.6/10.
What to do: upgrade onnx to 1.21.0rc1 or later.
If unsure, ask your IT team or search "onnx CVE-2026-28500" on the vendor's site.

CVE-2026-28500 (onnx) — CWE-345 / CVSS v3 8.6
Attack vector: remote (network-reachable) / unauthenticated / no user interaction
Patched: 1.21.0rc1 — apply immediately
Plan: 1) Audit SBOM/dependencies, 2) Stage→prod upgrade, 3) Add WAF/proxy monitoring on affected endpoints, 4) Hunt IOCs in logs.
Refs: see the GHSA / vendor advisory / patched release linked on this page.

❓ What is the problem

A vulnerability (CWE-345) exists in onnx.

📍 Affected scope

Check the vendor advisory for the affected versions of onnx.

🔥 Severity

Severity: High (CVSS 8.6/10). Confidential information can be exposed externally.

🔧 How to fix

Update to 1.21.0rc1.

🛡️ Workaround

Until the patch is applied: disable the affected feature, apply WAF rules, or restrict access via network ACLs.

🔍 Detection

Search webserver/proxy logs for unusual request patterns matching this CVE's known IOCs. Run grep -r 'onnx' . against your dependency files (package-lock.json, requirements.txt, go.sum) to find affected services.

Response actions

Concrete steps and command examples for SOC/SRE teams to execute in order

  1. 1
    Identify exposure identify 
    grep -r 'onnx' . | grep -v node_modules

    リポジトリと本番環境の依存ファイル (package-lock.json / requirements.txt / go.sum / Gemfile.lock 等) で onnx を grep し、稼働しているサービス・バージョンを把握する。

  2. 2
    Apply patch patch 
    Upgrade onnx to 1.21.0rc1

    ステージング環境で 1.21.0rc1 に上げて回帰テスト → 本番反映。回帰テストはアプリの主要ハッピーパスを含めること。

  3. 3
    Post-deployment verification verify 
    Confirm patched version is live in production

    パッチ適用後、ステージングで PoC または同等の悪用パターンを再現して脆弱性が閉じたことを確認。本番ではアクセスログ・WAF でアラート再発が無いか継続監視。

Affected packages

PyPI onnx
[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"1.21.0rc1"}]}]
pip onnx
[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"1.21.0rc1"}]}]

Fix status by distribution

Fixed packages published by each distribution for this CVE

References

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