GHSA-X3JW-7GJ7-QV6M

Vulnerability from github – Published: 2026-08-13 12:31 – Updated: 2026-10-07 16:17

Withdrawn 2026-10-07

Summary

Duplicate Advisory: Flowise Prompt Injection to RCE and SSRF via CSV/Airtable Agent Python Validator Bypass

Details

Duplicate Advisory

This advisory has been withdrawn because it is a duplicate of GHSA-w7x8-q2gp-5cgg. This link is maintained to preserve external references.

Original Description

Flowise before 3.1.3 contains a regex-based Python code validator bypass in CSV and Airtable Agent nodes that allows unauthenticated attackers to inject malicious code via prompt injection. Attackers can exploit unblocked pandas functions like pd.read_json() to exfiltrate datasets, perform SSRF against internal services, or achieve code execution through the unauthenticated prediction API.

Severity

9.8 (Critical)


                  
                    CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

9.0 (Critical)


                  
                    CVSS:4.0/AV:N/AC:H/AT:N/PR:N/UI:N/VC:H/VI:L/VA:N/SC:H/SI:L/SA:N

Show details on source website

JSON

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{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "flowise"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "3.1.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [],
  "database_specific": {
    "cwe_ids": [
      "CWE-94"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-10-07T16:17:04Z",
    "nvd_published_at": "2026-08-13T12:17:24Z",
    "severity": "CRITICAL"
  },
  "details": "# Duplicate Advisory\nThis advisory has been withdrawn because it is a duplicate of GHSA-w7x8-q2gp-5cgg. This link is maintained to preserve external references.\n\n# Original Description\n\nFlowise before 3.1.3 contains a regex-based Python code validator bypass in CSV and Airtable Agent nodes that allows unauthenticated attackers to inject malicious code via prompt injection. Attackers can exploit unblocked pandas functions like pd.read_json() to exfiltrate datasets, perform SSRF against internal services, or achieve code execution through the unauthenticated prediction API.",
  "id": "GHSA-x3jw-7gj7-qv6m",
  "modified": "2026-10-07T16:17:05Z",
  "published": "2026-08-13T12:31:09Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-w7x8-q2gp-5cgg"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-73487"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/flowise-before-prompt-injection-rce-via-csv-agent"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:H/AT:N/PR:N/UI:N/VC:H/VI:L/VA:N/SC:H/SI:L/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Duplicate Advisory: Flowise Prompt Injection to RCE and SSRF via CSV/Airtable Agent Python Validator Bypass",
  "withdrawn": "2026-10-07T16:17:04Z"
}

CVE-2026-73487 (GCVE-0-2026-73487)

Vulnerability from cvelistv5 – Published: 2026-08-13 11:28 – Updated: 2026-08-14 22:26

Title

Flowise before 3.1.3 Prompt Injection RCE via CSV Agent

Summary

Severity

9 (Critical)


                        
                          CVSS:4.0/AV:N/AC:H/AT:N/PR:N/UI:N/VC:H/VI:L/VA:N/SC:H/SI:L/SA:N

SSVC

Exploitation: poc Automatable: yes Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-08-14 22:26 UTC

CWE

CWE-94 - Improper Control of Generation of Code ('Code Injection')

Assigner

VulnCheck CNA under the mitre root

CNA scorecard B 84/100 over 5285 records in the last 180 days details

References

2 references

URL	Tags
https://github.com/FlowiseAI/Flowise/security/adv…	vendor-advisory
https://www.vulncheck.com/advisories/flowise-befo…	third-party-advisory

Impacted products

1 product

Vendor	Product	Version
FlowiseAI	Flowise	Affected: 0 , < 3.1.3 (semver) Unaffected: 3.1.3 (semver)

Date Public

2026-07-29 00:00

Credits

p80n-sec

Show details on NVD website

JSON

To clipboard

{
  "containers": {
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        "metrics": [
          {
            "other": {
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                "id": "CVE-2026-73487",
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                  },
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                  },
                  {
                    "Technical Impact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2026-08-14T22:26:23.902795Z",
                "version": "2.0.3"
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      "metrics": [
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            "attackComplexity": "HIGH",
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            "baseScore": 9,
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    "dateReserved": "2026-08-12T18:19:17.025Z",
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Sightings

Author	Source	Type	Date	Other

Nomenclature

Seen: The vulnerability was mentioned, discussed, or observed by the user.
Confirmed: The vulnerability has been validated from an analyst's perspective.
Published Proof of Concept: A public proof of concept is available for this vulnerability.
Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
Not confirmed: The user expressed doubt about the validity of the vulnerability.
Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.

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