CVE-2026-56349
AWAITING NVDn8n before version 2.10.0 contains an input validation vulnerability in the Guardrail node that allows attackers to bypass default guardrail instructions. End users can craft malicious inputs to circumvent guardrail protections and compromise workflow...
Full CISO analysis pending enrichment.
What systems are affected?
| Package | Ecosystem | Vulnerable Range | Patched |
|---|---|---|---|
| n8n | npm | — | No patch |
Do you use n8n? You're affected.
How severe is it?
What should I do?
No patch available
Monitor for updates. Consider compensating controls or temporary mitigations.
Which compliance frameworks are affected?
Compliance analysis pending. Sign in for full compliance mapping when available.
Frequently Asked Questions
What is CVE-2026-56349?
n8n before version 2.10.0 contains an input validation vulnerability in the Guardrail node that allows attackers to bypass default guardrail instructions. End users can craft malicious inputs to circumvent guardrail protections and compromise workflow integrity.
Is CVE-2026-56349 actively exploited?
No confirmed active exploitation of CVE-2026-56349 has been reported, but organizations should still patch proactively.
How to fix CVE-2026-56349?
No patch is currently available. Monitor vendor advisories for updates.
What is the CVSS score for CVE-2026-56349?
No CVSS score has been assigned yet.
What are the technical details?
Original Advisory
n8n before version 2.10.0 contains an input validation vulnerability in the Guardrail node that allows attackers to bypass default guardrail instructions. End users can craft malicious inputs to circumvent guardrail protections and compromise workflow integrity.
Weaknesses (CWE)
CWE-20 — Improper Input Validation: The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.
- [Architecture and Design] Consider using language-theoretic security (LangSec) techniques that characterize inputs using a formal language and build "recognizers" for that language. This effectively requires parsing to be a distinct layer that effectively enforces a boundary between raw input and internal data representations, instead of allowing parser code to be scattered throughout the program, where it could be subject to errors or inconsistencies that create weaknesses. [REF-1109] [REF-1110] [REF-1111]
- [Architecture and Design] Use an input validation framework such as Struts or the OWASP ESAPI Validation API. Note that using a framework does not automatically address all input validation problems; be mindful of weaknesses that could arise from misusing the framework itself (CWE-1173).
Source: MITRE CWE corpus.
References
- github.com/n8n-io/n8n/security/advisories/GHSA-fvfv-ppw4-7h2w vendor-advisory
- vulncheck.com/advisories/n8n-guardrail-node-bypass-via-crafted-input third-party-advisory
Timeline
Related Vulnerabilities
CVE-2026-33663 10.0 n8n: member role steals plaintext HTTP credentials
Same package: n8n CVE-2026-33660 10.0 TensorFlow: type confusion NPD in tensor conversion
Same package: n8n CVE-2026-21858 10.0 n8n: Input Validation flaw enables exploitation
Same package: n8n CVE-2026-27495 9.9 n8n: Code Injection enables RCE
Same package: n8n CVE-2026-27577 9.9 n8n: Code Injection enables RCE
Same package: n8n