CVE-2025-0185: Pandas query injection vulnerability in Dify Vanna module
Attack on AI2 Disclosed vulnerabilityInfrastructure vulnerability
The Vanna module in Dify fails to properly sanitize user inputs before executing Pandas queries. This vulnerability can potentially lead to remote code execution.
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
- Dify
- incident date
- 20 Mar 2025
- first reported
- 20 Mar 2025
- origin
- NVDVulnerability 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-2025-0185 · rce · infra_vuln
- record
- created 2026-10-18 10:04Z · updated 2026-10-18 10:04Z · json
Sources · 1
- 2025-03-20CVE-2025-0185: A vulnerability in the Dify Tools' Vanna module of the langgenius/dify repository allows for a Pandas Query Injection in the…NVD · nvd.nist.gov/vuln/detail/CVE-2025-0185
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