CVE-2026-70477

Published: Ago 04, 2026 Last Modified: Ago 05, 2026
ExploitDB:
Other exploit source:
Google Dorks:
CRITICAL 9,5
Attack Vector: network
Attack Complexity: high
Privileges Required: none
User Interaction: none
Confidentiality: N/A
Integrity: N/A
Availability: N/A

Description

AI Translation Available

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, a prompt injection sent to a chatflow using a CSV Agent node can cause the LLM to respond with a malicious Python script that bypasses the blocklist validator and executes in an unsandboxed Pyodide environment. The specific flaw exists within the run method of the CSV_Agents class, where untrusted data is used to construct an LLM prompt and the resulting pythonCode is validated by validatePythonCodeForDataFrame before execution. An attacker can leverage this to execute arbitrary code in the context of the service account. This issue is fixed in 3.1.3.

EPSS (Exploit Prediction Scoring System)

Trend Analysis

EPSS (Exploit Prediction Scoring System)

Prevede la probabilità di sfruttamento basata su intelligence sulle minacce e sulle caratteristiche della vulnerabilità.

EPSS Score
0,0044
Percentile
0,4th
Updated

EPSS Score Trend (Last 3 Days)

94

Improper Control of Generation of Code ('Code Injection')

Draft
Common Consequences
Security Scopes Affected:
Access Control Integrity Confidentiality Availability Non-Repudiation
Potential Impacts:
Bypass Protection Mechanism Gain Privileges Or Assume Identity Execute Unauthorized Code Or Commands Hide Activities
Applicable Platforms
Languages: Interpreted
Technologies: AI/ML
View CWE Details
https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-5xvg-pmgg-3mxr
https://github.com/FlowiseAI/Flowise/commit/f4e2794f6a576b94578f2fdafbf49c2fb30…
https://github.com/FlowiseAI/Flowise/pull/6499
https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-5xvg-pmgg-3mxr