CVE-2026-41274: Flowise Cypher Injection Vulnerability in GraphCypherQAChain
Attack on AI2 Disclosed vulnerabilityInfrastructure vulnerability
An unauthenticated Cypher injection vulnerability exists in the Flowise GraphCypherQAChain node due to unsanitized user input forwarded to the database. An attacker can execute arbitrary Cypher queries to exfiltrate or modify data on the underlying Neo4j database.
disclosed CVENo confirmed exploitation, so this record is tracked as a disclosed vulnerability and not counted as an incident. It moves into the counts if CISA or the vendor confirms exploitation. Why
Details
- type
- Attack on AIAn AI model, agent or AI-powered product was the thing exploited, abused or leaked.
- categories
- Infrastructure vulnerabilityCVEs and advisories in AI frameworks, inference servers, MCP servers, AI developer tools and hosting stacks.
- Infrastructure vulnerability
- owasp llm top 10
- mitre atlas
- no technique for these categoriesBoth rows are derived from the type and categories (OWASP 2025 edition, ATLAS release 2026.09), not classified per record. How
- severity
- 2 · Disclosed vulnerabilityCVE or vendor advisory, patched or patchable, no confirmed exploitation.
- targets
- Framework / tooling
- products
- Flowise
- incident date
- 16 Apr 2026
- first reported
- 16 Apr 2026
- origin
- GitHub Advisory DatabaseVulnerability record from NVD / the GitHub Advisory Database. This product uses the NVD API but is not endorsed or certified by the NVD.
- classifier confidence
- 0.95 · published at or above 0.80; see the methodology
- tags
- CVE-2026-41274 · cypher-injection · flowise
- record
- created 2026-10-18 07:00Z · updated 2026-10-18 10:04Z · json
Sources · 2
- 2026-04-16CVE-2026-41274: Flowise: Cypher Injection in GraphCypherQAChainGitHub Advisory Database · github.com/advisories/GHSA-28g4-38q8-3cwc
- 2026-04-23CVE-2026-41274: Flowise is a drag & drop user interface to build a customized large language model flow.NVD · nvd.nist.gov/vuln/detail/CVE-2026-41274
Titles and links belong to their publishers. The summary above is written by GCD AI RADAR in its own words; data is CC BY-SA 4.0.
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