Vulnerability in Flowiseai Flowise
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.
Published · last modified .
CVSS v3 metric
CVSS v3 base score 8.1 (High). Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N.
EPSS exploit prediction
EPSS: 0.004 (35.3th percentile), scored .
Very low probability of exploitation in the next 30 days; routine patching cadence is appropriate. 35th percentile — 35.3% of CVEs in the catalogue have a lower EPSS than this one. How to read EPSS.
EPSS over last 30 days · oldest: 0.003 · newest: 0.004 · change: +0.001
Affected products
- Flowiseai Flowise — versions 0, 3.1.3
Weakness classification (CWE)
References
- github.com/FlowiseAI/Flowise/security/advisories/GHSA-x58f-9m57-qc4m (Exploit, vendor-advisory, Vendor Advisory)
- www.vulncheck.com/advisories/flowise-before-sandbox-escape-via-pandas-methods (Third Party Advisory, third-party-advisory)
Frequently asked questions
- What is CVE-2026-73484?
- CVE-2026-73484 is a high-severity vulnerability in Flowiseai Flowise, classified under Incomplete List of Disallowed Inputs. CVSS score: 8.1/10. Published 2026-08-13.
- How severe is CVE-2026-73484?
- High severity. CVSS v3 base score is 8.1 out of 10.