FlowiseAI DatasetRow Mass Assignment Workspace Takeover
Attack on AI2 Disclosed vulnerabilityInfrastructure vulnerability
A mass assignment vulnerability in FlowiseAI enables attackers to overwrite workspace identifiers and take over dataset rows across workspaces. A vendor fix is available.
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
- FlowiseAI
- incident date
- 14 May 2026
- first reported
- 14 May 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-2026-46478 · mass_assignment · idor
- record
- created 2026-10-18 07:00Z · updated 2026-10-18 10:04Z · json
Sources · 2
- 2026-05-14CVE-2026-46478: FlowiseAI: DatasetRow create+update mass-assignment allows cross-workspace row takeoverGitHub Advisory Database · github.com/advisories/GHSA-7j65-65cr-6644
- 2026-06-08CVE-2026-46478: Flowise is a drag & drop user interface to build a customized large language model flow.NVD · nvd.nist.gov/vuln/detail/CVE-2026-46478
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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