---
cve: "CVE-2026-73484"
severity: "HIGH"
cvss: 8.6
epss: "29%"
vendor: "FlowiseAI"
kev: false
exploited: false
published: "2026-08-13 11:28:04"
tags: [cve, security, high]
source: tsecurity.de CVE-Dossier
exported: "2026-09-05T18:42:53+02:00"
---

# CVE-2026-73484

> 8.6 HIGH · 🧪 PoC

## Beschreibung

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.

## CVSS-Vektor

```
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
```

| Metrik | Wert | Bewertung |
|---|---|---|
| AV Angriffsvektor | Netzwerk | bad |
| AC Komplexität | Gering | bad |
| PR Privilegien | Gering | warn |
| UI Interaktion | Keine | bad |

## Patch verfügbar (OSV)

- 09f099dbfda179e439ec677d06ad737375899eef (Commit)

## Referenzen

- <https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-x58f-9m57-qc4m>
- <https://www.vulncheck.com/advisories/flowise-before-sandbox-escape-via-pandas-methods>

---
_Exportiert aus dem [tsecurity.de CVE-Dossier](https://tsecurity.de/cve?cve=CVE-2026-73484) · Datenquellen: EUVD (ENISA), NVD, OSV, CISA KEV, FIRST EPSS, Exploit-DB, BSI BITS_