CVE-2026-55447: CWE-61: UNIX Symbolic Link (Symlink) Following in langflow-ai langflow
Langflow is a tool for building and deploying AI-powered agents and workflows. Prior to 1.9.2, by controlling a files that are digested into the RAG, an attacker can direct the node to read any file on the file-system by absolute path. All components based on BaseFileComponent are vulnerable to the vulnerability. This includes Docling (DoclingInlineComponent), Docling Serve, DoclingRemoteComponent), Read File (FileComponent), NVIDIA Retriever Extraction (NvidiaIngestComponent), Video File (VideoFileComponent), and Unstructured API (UnstructuredComponent). This vulnerability is fixed in 1.9.2.
AI Analysis
Technical Summary
Langflow versions before 1.9.2 contain a symbolic link (symlink) following vulnerability (CWE-61) that allows an attacker who can control files digested into the RAG to direct nodes to read any file on the filesystem using absolute paths. This affects all components derived from BaseFileComponent, including DoclingInlineComponent, DoclingServe, DoclingRemoteComponent, FileComponent, NvidiaIngestComponent, VideoFileComponent, and UnstructuredComponent. The vulnerability leads to unauthorized information disclosure (CWE-200). The issue is resolved in langflow version 1.9.2.
Potential Impact
Successful exploitation allows an unauthenticated attacker with the ability to control input files to read arbitrary files on the host filesystem, leading to full confidentiality, integrity, and availability impact as per the CVSS score of 9.6. This can result in exposure of sensitive data and potential disruption of service.
Mitigation Recommendations
Upgrade langflow to version 1.9.2 or later, where this vulnerability is fixed. No other mitigation or temporary workaround is indicated in the available data.
CVE-2026-55447: CWE-61: UNIX Symbolic Link (Symlink) Following in langflow-ai langflow
Description
Langflow is a tool for building and deploying AI-powered agents and workflows. Prior to 1.9.2, by controlling a files that are digested into the RAG, an attacker can direct the node to read any file on the file-system by absolute path. All components based on BaseFileComponent are vulnerable to the vulnerability. This includes Docling (DoclingInlineComponent), Docling Serve, DoclingRemoteComponent), Read File (FileComponent), NVIDIA Retriever Extraction (NvidiaIngestComponent), Video File (VideoFileComponent), and Unstructured API (UnstructuredComponent). This vulnerability is fixed in 1.9.2.
CVSS v3.1
Score 9.6critical
Affected software
pkg:github/langflow-ai/langflowRun on your own infrastructure? Check whether these packages are installed with threat-finder — our free open-source scanner.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
Langflow versions before 1.9.2 contain a symbolic link (symlink) following vulnerability (CWE-61) that allows an attacker who can control files digested into the RAG to direct nodes to read any file on the filesystem using absolute paths. This affects all components derived from BaseFileComponent, including DoclingInlineComponent, DoclingServe, DoclingRemoteComponent, FileComponent, NvidiaIngestComponent, VideoFileComponent, and UnstructuredComponent. The vulnerability leads to unauthorized information disclosure (CWE-200). The issue is resolved in langflow version 1.9.2.
Potential Impact
Successful exploitation allows an unauthenticated attacker with the ability to control input files to read arbitrary files on the host filesystem, leading to full confidentiality, integrity, and availability impact as per the CVSS score of 9.6. This can result in exposure of sensitive data and potential disruption of service.
Mitigation Recommendations
Upgrade langflow to version 1.9.2 or later, where this vulnerability is fixed. No other mitigation or temporary workaround is indicated in the available data.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- GitHub_M
- Date Reserved
- 2026-06-16T21:59:57.018Z
- Cvss Version
- 3.1
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 6a3ab6daeed863c81e4f9f29
Added to database: 06/23/2026, 16:39:54 UTC
Last enriched: 06/30/2026, 23:16:09 UTC
Last updated: 08/05/2026, 12:41:16 UTC
Views: 71
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