CVE-2026-73484
Published:August 13, 2026
Updated:August 31, 2026
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 Packages
https://github.com/FlowiseAI/Flowise.git (GITHUB):
Affected version(s) >=flowise-components@3.1.0 <flowise-components@3.1.3Fix Suggestion:
Update to version flowise-components@3.1.3flowise (NPM):
Affected version(s) >=1.0.0 <3.1.3Fix Suggestion:
Update to version 3.1.3Related Resources (4)
Do you need more information?
Contact UsCVSS v4
Base Score:
8.6
Attack Vector
NETWORK
Attack Complexity
LOW
Attack Requirements
NONE
Privileges Required
LOW
User Interaction
NONE
Vulnerable System Confidentiality
HIGH
Vulnerable System Integrity
HIGH
Vulnerable System Availability
NONE
Subsequent System Confidentiality
NONE
Subsequent System Integrity
NONE
Subsequent System Availability
NONE
CVSS v3
Base Score:
8.1
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
LOW
User Interaction
NONE
Scope
UNCHANGED
Confidentiality
HIGH
Integrity
HIGH
Availability
NONE
Weakness Type (CWE)
Incomplete List of Disallowed Inputs
EPSS
Base Score:
0.29