EUVD-2026-57803
GHSA-x3jw-7gj7-qv6m
Severity by source
CVSS:4.0/AV:N/AC:H/AT:N/PR:N/UI:N/VC:H/VI:L/VA:N/SC:H/SI:L/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
Unauthenticated network access to the prediction API gives PR:N/AV:N, but reliably defeating the regex validator via LLM manipulation is AC:H; SSRF/code execution beyond the app justifies S:C with C:H, I:L.
Primary rating from Vendor (VulnCheck).
CVSS VectorVendor: VulnCheck
CVSS:4.0/AV:N/AC:H/AT:N/PR:N/UI:N/VC:H/VI:L/VA:N/SC:H/SI:L/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 regex-based Python code validator bypass in CSV and Airtable Agent nodes that allows unauthenticated attackers to inject malicious code via prompt injection. Attackers can exploit unblocked pandas functions like pd.read_json() to exfiltrate datasets, perform SSRF against internal services, or achieve code execution through the unauthenticated prediction API.
Articles & Coverage 1
AnalysisAI
Remote code execution and SSRF in FlowiseAI Flowise before 3.1.3 stems from a bypassable regex-based Python code validator in the CSV and Airtable Agent nodes, letting attackers smuggle malicious pandas calls through the unauthenticated prediction API via prompt injection. Because the validator blocklists rather than sandboxes, unblocked functions such as pd.read_json() can be abused to exfiltrate local datasets, reach internal services (SSRF), or execute arbitrary code. …
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Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata
Vulnerability AssessmentAI
| Exploitation | Exploitation requires that the target Flowise deployment (before 3.1.3) expose a flow using the CSV Agent or Airtable Agent node reachable through the prediction API, and that this API be network-accessible without authentication (PR:N per the CVSS vector). … Additional conditions and limiting factors are described in the full assessment. |
| Risk Assessment | The CVSS 4.0 base score is 9.0 (AV:N/AC:H/AT:N/PR:N/UI:N/VC:H/VI:L/VA:N/SC:H/SI:L/SA:N): network-reachable and unauthenticated (PR:N) with high impact to confidentiality of both the vulnerable system and downstream/internal systems (SC:H, reflecting SSRF), but rated high attack complexity (AC:H) because the attacker must reliably steer the LLM and craft payloads that survive the regex validator. … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in. |
| Exploit Scenario | An attacker submits a crafted query to an internet-exposed Flowise instance's unauthenticated prediction API targeting a CSV or Airtable Agent flow, using prompt injection to make the underlying LLM emit Python that calls an unblocked function like pd.read_json('http://169.254.169.254/...') or a local file path. Because the regex validator does not block this call, Flowise executes it, letting the attacker reach internal services (SSRF), read local datasets, or escalate to code execution. … |
| Remediation | Upgrade to Flowise 3.1.3 or later (Vendor-released patch: 3.1.3), which addresses the validator bypass - see GHSA-w7x8-q2gp-5cgg. … Detailed patch versions, workarounds, and compensating controls in full report. |
Recommended ActionAI
Within 24 hours, create a comprehensive inventory of Flowise instances across your environment including version numbers and network location; immediately restrict network access to Flowise prediction APIs to only trusted internal clients and disable or isolate CSV/Airtable Agent nodes if operationally feasible. …
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External POC / Exploit Code
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