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PatchSiren cyber security CVE debrief

CVE-2026-73484 FlowiseAI CVE debrief

AI-assisted PatchSiren debrief based on the supplied source corpus. The CVE record was published on 2026-08-13T12:17:23.677Z and has not been modified since then. The NVD entry is currently Awaiting Analysis. Flowise versions prior to 3.1.3 contain a sandbox escape vulnerability in pythonCodeValidator.ts that fails to block native Pandas DataFrame methods like to_csv, to_json, pipe, and query. This allows authenticated attackers to exfiltrate uploaded CSV data or write arbitrary files to the server filesystem. Organizations should review and implement vendor-provided guidance, assess exposure, and enhance monitoring and detection capabilities. The vulnerability exists in Flowise before version 3.1.3, specifically in the pythonCodeValidator.ts file, which fails to block native Pandas DataFrame methods. Limited details are available on the scope of affected deployments. To verify, defenders should review the official advisory, assess their deployments for version 3.1.3 or later, and monitor for potential exploitation attempts. Additional information may be necessary as more details become available.

Vendor
FlowiseAI
Product
Flowise
CVSS
HIGH 8.6
CISA KEV
Not listed in stored evidence
Original CVE published
2026-08-13
Original CVE updated
2026-08-31
Advisory published
2026-08-13
Advisory updated
2026-08-31

Who should care

Organizations using Flowise versions prior to 3.1.3, security teams responsible for monitoring and mitigating vulnerabilities, administrators of systems that interact with Flowise deployments, and operators of affected platforms should be aware of this vulnerability and take necessary actions to mitigate it. This includes reviewing and implementing vendor-provided guidance, assessing exposure, and enhancing monitoring and detection capabilities.

Technical summary

The Flowise application, prior to version 3.1.3, contains a sandbox escape vulnerability in the pythonCodeValidator.ts file. This vulnerability allows authenticated attackers to exploit native Pandas DataFrame methods, such as to_csv, to_json, pipe, and query, potentially leading to data exfiltration or arbitrary file writes on the server filesystem. The vulnerability can be mitigated by restricting access to sensitive data and systems, implementing compensating controls, and applying vendor-provided patches or updates as available.

Defensive priority

Authenticated attackers can exploit this vulnerability to exfiltrate uploaded CSV data or write arbitrary files to the server filesystem, indicating a high level of urgency for mitigation.

Recommended defensive actions

  • Inventory and assess Flowise deployments for version 3.1.3 or later
  • Restrict access to sensitive data and systems
  • Implement compensating controls to monitor and detect potential exploitation attempts
  • Apply vendor-provided patches or updates as available
  • Review official advisory or CVE record to validate affected scope, severity, and vendor guidance
  • Plan vendor-supported updates or mitigations through normal change control where exposure is confirmed
  • Check relevant monitoring, detection, and logs for exposed assets that need extra review

Evidence notes

The vulnerability exists in Flowise before version 3.1.3, specifically in the pythonCodeValidator.ts file, which fails to block native Pandas DataFrame methods. Limited details are available on the scope of affected deployments. To verify, defenders should review the official advisory, assess their deployments for version 3.1.3 or later, and monitor for potential exploitation attempts. Additional information may be necessary as more details become available.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-73484 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-73484

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-73484 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-73484

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.