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Made with love by Amit Schendel & Alon Barad



GHSA-X9F6-9RVM-MMRG

GHSA-X9F6-9RVM-MMRG: Improper Access Control and Volume Mount Isolation Bypass in vantage6 Node

Amit Schendel
Amit Schendel
Senior Security Researcher

Jun 6, 2026·4 min read·19 visits

Executive Summary (TL;DR)

Malicious algorithm containers executed on a vantage6 node can bypass path boundaries to access or tamper with data belonging to other concurrent or historical tasks due to improper mounting isolation.

An improper access control vulnerability in the vantage6 node component allows concurrently running algorithm containers to read and modify sensitive input and output files of other tasks. The lack of strict workspace directory isolation exposes a significant attack surface in multi-tenant or federated environments where untrusted algorithms are executed.

Vulnerability Overview

The vantage6 platform is designed to facilitate secure, privacy-preserving federated learning across multiple distinct organizations. Within this framework, individual nodes download task configurations, retrieve algorithms packaged as Docker images, and execute them locally. The node is responsible for managing container lifecycles, mounting datasets, and handling input and output files.

This vulnerability, designated as GHSA-X9F6-9RVM-MMRG, is an improper access control issue in the node component. When multiple tasks execute concurrently or sequentially, the node fails to enforce strict logical and physical directory isolation boundaries between container workspaces. This structural deficiency allows a malicious container running on the node to access data belonging to other algorithms.

Root Cause Analysis

The root cause of GHSA-X9F6-9RVM-MMRG lies in how the vantage6 node handles temporary directory allocation and volume mounts for Docker-based task executions. When a task is initialized, the node allocates physical folders on the host to store the input JSON payloads and output result files.

Instead of mounting only the explicit subfolder dedicated to a single active container, the system's mounting logic allows container processes to traverse up or guess sibling directories. Predictive naming conventions, such as using sequential indices or static parent folders under /tmp/vantage6/, facilitate this unauthorized traversal. Because the containerized processes run with permissions that can read the host-mounted shares, a container can systematically locate files of other workspaces.

Code Analysis and Architectural Flow

The following diagram illustrates the flow of volume mounts where improper isolation allows cross-container access. When parent directories are exposed to the container environment, directory traversal allows adjacent containers to read and write arbitrary files.

To prevent directory traversal, volume mounting must restrict the scope of accessible folders. The vulnerable implementation exposes a parent path structure that container processes can exploit if they have standard read and write system privileges.

Exploitation Methodology

Exploiting this vulnerability does not require administrative privileges on the target node. An attacker must have the ability to submit a federated learning task to the central vantage6 server, specifying a custom Docker image under their control.

Once the target node pulls and executes the malicious container, the containerized program initiates a directory sweeping routine. It attempts to traverse back via parent directories or directly probes common host mount structures. Since the node fails to restrict access to adjacent directories, the attacker's container can extract sensitive inputs or modify output files to compromise the integrity of the federated calculation.

Impact Assessment

The primary security impact of GHSA-X9F6-9RVM-MMRG is the complete breakdown of the federated learning trust model. In a federated setup, data providers assume that their local data and individual task outputs remain confidential and untampered with.

By accessing other algorithm files, an attacker can perform data harvesting or data poisoning. Modifying input files allows attackers to manipulate model parameters, while reading output files can expose sensitive intermediate statistical summaries. This compromises both data integrity and confidentiality across the entire federated network.

Remediation & Mitigation Guidance

At the time of disclosure, no security patch was backported to the 3.x release line of vantage6. Security roadmap tracking indicates that comprehensive directory isolation and volume mount hardening were scheduled for the major 5.0.x release.

To mitigate this risk immediately, administrators must configure algorithm whitelisting on all active nodes. This prevents the execution of arbitrary, untrusted container images. The node configuration should explicitly define the allowed algorithm registry and image tags, rejecting any task that specifies unverified code.

Technical Appendix

CVSS Score
6.9/ 10
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:L/VA:N/SC:N/SI:N/SA:N

Affected Systems

vantage6 node
AttributeDetail
CWE IDCWE-284
Attack VectorNetwork
CVSS v4.06.9 (Medium)
Affected Componentvantage6 node
RemediationEnforce algorithm whitelisting or upgrade to 5.0.x
Exploit StatusNo public proof-of-concept
CWE-284
Improper Access Control

Vulnerability Timeline

Development issue #1932 opened regarding security roadmap integration for v5.0.
2025-05-10
GitHub Security Advisory GHSA-X9F6-9RVM-MMRG published.
2026-06-05

References & Sources

  • [1]GitHub Security Advisory GHSA-X9F6-9RVM-MMRG
  • [2]Vantage6 Security Advisory
  • [3]Vantage6 Issue Tracker - Security Advisory Roadmapping (#1932)
  • [4]PyPI Vantage6 Project Metadata

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