CVEvulnerability
CVE-2026-73484
8.6 HIGH
Official page ↗
- Status
- Analyzed
- Published
- 2026-08-13
- Last modified
- 2026-10-24
- Assigner
- [email protected]
- CVSS 4.0 ([email protected])
- 8.6 HIGH — CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:N/SC:N/SI:N/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
- CVSS 3.1 ([email protected])
- 8.1 HIGH — CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N
- Weaknesses
- CWE-184
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.
Affected configurations
• flowiseai flowise (< 3.1.3)
Related
Weakness · CWE (1)
- CWE-184 Incomplete List of Disallowed Inputs weakness
References
- https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-x58f-9m57-qc4m Exploit, Vendor Advisory
- https://www.vulncheck.com/advisories/flowise-before-sandbox-escape-via-pandas-methods Third Party Advisory
- https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-x58f-9m57-qc4m Exploit, Vendor Advisory