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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
Network-exploitable via authenticated Python code submission requiring only low-privilege credentials; no availability impact and no scope change beyond the Flowise server process.
Primary rating from Vendor (VulnCheck).
CVSS VectorVendor: VulnCheck
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
Lifecycle Timeline
3DescriptionCVE.org
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.
Articles & Coverage 1
AnalysisAI
Sandbox escape in Flowise's Python code execution layer (pythonCodeValidator.ts) allows authenticated low-privilege users to invoke native Pandas DataFrame methods - to_csv, to_json, pipe, and query - that the validator's denylist fails to restrict. All Flowise deployments prior to version 3.1.3 are vulnerable, with a CVSS 4.0 score of 8.6 reflecting high confidentiality and high integrity impact. …
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Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata
Vulnerability AssessmentAI
| Exploitation | Exploitation requires a valid authenticated account on the target Flowise instance - the CVSS 4.0 PR:L metric confirms that low-privilege credentials are sufficient and no administrative or elevated role is needed. … Additional conditions and limiting factors are described in the full assessment. |
| Risk Assessment | The CVSS 4.0 base vector (AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:N) presents a direct exploitation path: network-accessible, low complexity, requiring only low-privilege authentication with no additional preconditions. … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in. |
| Exploit Scenario | An authenticated Flowise user with any valid low-privilege account opens a workflow editor and adds a Python code node containing a call such as pd.read_csv('/app/uploads/sensitive.csv').to_csv('/var/www/html/exfil.csv') or uses pipe() to pass a DataFrame through an os.system() wrapper. Because pythonCodeValidator.ts does not include these Pandas methods in its denylist, the validator passes the code without triggering any block, and the server executes it under its own process credentials. … |
| Remediation | Upgrade Flowise to version 3.1.3 or later, which patches pythonCodeValidator.ts to include to_csv, to_json, pipe, and query in the method denylist; full details are in the GitHub Security Advisory at https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-x58f-9m57-qc4m. … Detailed patch versions, workarounds, and compensating controls in full report. |
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Within 24 hours, identify all Flowise deployments and verify current versions. …
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Same weakness CWE-184 – Incomplete List of Disallowed Inputs
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External POC / Exploit Code
Leaving vuln.today
EUVD-2026-57800
GHSA-354w-hcpx-6wvw