CVE-2026-73484
CVE-2026-73484 is a high-severity vulnerability with a CVSS 4.0 base score of 8.6. It is not currently listed as actively exploited by CISA, and its EPSS exploit-prediction score is low. The underlying weakness is classified as CWE-184.
Key facts
- Severity: High (CVSS 4.0 base score 8.6)
- EPSS exploit prediction: 0% (22nd percentile)
- Actively exploited: Not listed in CISA KEV
- Weakness: CWE-184
- Published:
- Last modified:
Description
Flowise before 3.1.3 contains a sandbox escape vulnerability in pythonCodeValidator.ts that fails to block native Pandas DataFrame methods like to_csv, to_json, pipe, and query. Authenticated attackers can exploit this to exfiltrate uploaded CSV data or write arbitrary files to the server filesystem.
Frequently asked questions
- What is CVE-2026-73484?
- Flowise before 3.1.3 contains a sandbox escape vulnerability in pythonCodeValidator.ts that fails to block native Pandas DataFrame methods like to_csv, to_json, pipe, and query. Authenticated attackers can exploit this to exfiltrate uploaded CSV data or write arbitrary files to the server filesystem.
- How severe is CVE-2026-73484?
- CVE-2026-73484 has a CVSS 4.0 base score of 8.6, rated high severity.
- Is CVE-2026-73484 being actively exploited?
- It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 0% (22nd percentile), an estimate of the probability of exploitation in the next 30 days.
- How do I fix CVE-2026-73484?
- Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround. Given its high severity, prioritise patching exposed systems.
- When was CVE-2026-73484 published?
- CVE-2026-73484 was published on 2026-08-13.
References
- https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-x58f-9m57-qc4m
- https://www.vulncheck.com/advisories/flowise-before-sandbox-escape-via-pandas-methods
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