Categories
CVE-2026-45758 critical CVSS 9.6

Vulnerability in guardrails-ai (CVE-2026-45758)

Summary

Vulnerability in guardrails-ai (CVE-2026-45758). Successful exploitation can lead to full system takeover.

Original description

The description as published by the source.

Impact

On May 11, 2026 at approximately 6:00 PM Pacific, an attacker published a malicious version of guardrails-ai (0.10.1) to PyPI.

Affected: any user who installed guardrails-ai==0.10.1 from PyPI on May 11, 2026.

Security researchers identified the malicious package within approximately 2 hours of publication, and PyPI quarantined the repository. Based on our telemetry, we have observed no requests to Guardrails AI infrastructure originating from the malicious 0.10.1 version, and a review of system and access logs has produced no evidence of user data exfiltration through our systems.

For the full timeline, technical details, and remediation steps we have taken, see SECURITY_ADVISORY.md.

Patches

No patched version above 0.10.1 is available yet. Downgrade to 0.10.0, which is unaffected.

Workarounds

1. Pin to a safe version:

guardrails-ai==0.10.0

2. While the PyPI quarantine is active, install from GitHub:

pip install git+https://github.com/guardrails-ai/guardrails.git@v0.10.0

The v0.10.0 tag in this repository is clean. Track quarantine status here: #1473.

3. If you installed 0.10.1, treat the host as potentially compromised. Rotate any credentials accessible from that machine (GitHub PATs, cloud provider keys, package registry tokens, API keys) and audit your GitHub account for unau…

Source: GitHub Security Advisories (Global) NVD GitHub Advisory

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-2026-45758 has been found in guardrails-ai.
Successful exploitation can lead to full system takeover. CVSS score: 9.6/10.
What to do: apply the vendor's official patched release.
If unsure, ask your IT team or search "guardrails-ai CVE-2026-45758" on the vendor's site.

CVE-2026-45758 (guardrails-ai) — CWE-506 / CVSS v3 9.6
Attack vector: remote (network-reachable) / unauthenticated
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-506) exists in guardrails-ai.

📍 Affected scope

Check the vendor advisory for the affected versions of guardrails-ai.

🔥 Severity

Severity: Critical (CVSS 9.6/10). Successful exploitation can lead to full system takeover.

🔧 How to fix

Update to the patched release per vendor advisory.

🛡️ 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 'guardrails-ai' . 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 'guardrails-ai' . | 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 guardrails-ai 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
    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

pip guardrails-ai
[{"type":"ECOSYSTEM","events":[{"introduced":"0"}]}]
PyPI guardrails-ai

References

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