CVE-2026-70477 Details
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.
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Exploit prediction scoring system (EPSS) score for CVE-2026-70477
EPSS (Exploit Prediction Scoring System): EPSS predicts the likelihood that a vulnerability will be exploited in the wild. A higher percentage means a greater chance of an exploit occurring. The EPSS model produces a probability score between 0 and 1 (0 and 100%).
0.83 Probability of exploitation activity being observed over the next 30 days (56th percentile)
CVSS score for CVE-2026-70477
CVSS (Common Vulnerability Scoring System): An open framework owned and managed by FIRST.Org, Inc. that assigns a numerical score from 0 to 10 to software vulnerabilities to indicate their severity.
9.8 Critical
Products affected by CVE-2026-70477

CVE-2026-70477 Global Footprint

Top 10 Identified Countries

Country Observations Percentage
US 39 35.45%
DE 21 19.09%
SG 6 5.45%
FR 5 4.55%
AU 4 3.64%
NL 4 3.64%
CA 3 2.73%
GB 3 2.73%
CL 2 1.82%
CN 2 1.82%

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CVE-2026-70477 Industry Footprint

Top 10 Identified Industries

*Service provider organizations (typically Technology and Telecommunications) are disproportionally represented in the results given their upstream ownership of end-user infrastructure. See our FAQs.

Industry* Observations Percentage
Technology 94 96.91%
Telecommunications 3 3.09%

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