Vantage6
Monthly
Broken authorization in vantage6's algorithm store allows any authenticated algorithm developer to overwrite a peer's pending algorithm metadata - including the Docker image reference or tag - before that submission is approved by reviewers. Versions 5.0.2 and earlier of this pip-installable federated analytics platform are affected, with no patch available. The practical consequence is a supply-chain integrity failure: nodes and reviewers may trust and execute a container image entirely different from the one originally submitted for review, with no visible indication that a substitution occurred.
Improper access control in vantage6 nodes prior to version 5.0.0 allows malicious algorithm containers to read input and output files belonging to other algorithms running on the same node. This directly undermines the core privacy guarantee of the platform - a federated learning infrastructure explicitly designed for privacy-preserving analysis - by exposing sensitive intermediate data to adversarially crafted algorithms. No public exploit has been identified at time of analysis, and a patch is available in version 5.0.0.
Default hardcoded admin credentials in vantage6 expose servers running versions prior to 5.0.0 to unauthorized administrative access by any network-accessible attacker who attempts the well-known username 'root' and password 'root'. The vantage6 server initializes with this superuser account on first deployment, and administrators who fail to change or delete it leave a predictable, trivially exploitable entry point. While not confirmed actively exploited (no CISA KEV listing), the predictability of the credential pair and the sensitivity of vantage6's federated privacy-preserving analytics data make this a meaningful operational risk for unpatched deployments.
vantage6 servers auto-generate JWT secret keys using UUID1, a predictable algorithm that lacks cryptographic strength, allowing attackers to forge authentication tokens and gain unauthorized access to the privacy-preserving analysis platform. This affects all vantage6 versions prior to 4.11.0 where users have not manually defined a strong JWT secret. The vulnerability has a CVSS score of 7.5 with high confidentiality impact, as attackers can impersonate legitimate users without needing privileges or user interaction.
Critical authentication bypass vulnerability in vantage6 (an open-source federated learning and privacy-enhancing technology framework) that allows attackers with valid authenticated session access to brute-force user passwords through the change password endpoint without rate limiting or account lockout protections. An attacker can enumerate passwords infinitely by calling the password change route repeatedly, receiving detailed error messages indicating password correctness. The vulnerability affects vantage6 versions prior to 4.11 and carries a CVSS score of 9.8 (critical severity).
vantage6 is an open source framework built to enable, manage and deploy privacy enhancing technologies like Federated Learning and Multi-Party Computation. Rated medium severity (CVSS 5.3), this vulnerability is remotely exploitable, no authentication required, low attack complexity.
vantage6 is an open source framework built to enable, manage and deploy privacy enhancing technologies like Federated Learning and Multi-Party Computation. Rated medium severity (CVSS 6.5), this vulnerability is remotely exploitable, no authentication required, low attack complexity. This Incorrect Authorization vulnerability could allow attackers to bypass authorization checks to access restricted resources.
The vantage6 technology enables to manage and deploy privacy enhancing technologies like Federated Learning (FL) and Multi-Party Computation (MPC). Rated medium severity (CVSS 4.3), this vulnerability is remotely exploitable, low attack complexity.
The vantage6 technology enables to manage and deploy privacy enhancing technologies like Federated Learning (FL) and Multi-Party Computation (MPC). Rated low severity (CVSS 3.7), this vulnerability is remotely exploitable, no authentication required.
The vantage6 technology enables to manage and deploy privacy enhancing technologies like Federated Learning (FL) and Multi-Party Computation (MPC). Rated critical severity (CVSS 9.8), this vulnerability is remotely exploitable, no authentication required, low attack complexity.
The vantage6 technology enables to manage and deploy privacy enhancing technologies like Federated Learning (FL) and Multi-Party Computation (MPC). Rated high severity (CVSS 8.8), this vulnerability is remotely exploitable, low attack complexity. This Code Injection vulnerability could allow attackers to inject and execute arbitrary code within the application.
vantage6 is a framework to manage and deploy privacy enhancing technologies like Federated Learning (FL) and Multi-Party Computation (MPC). Rated high severity (CVSS 8.8), this vulnerability is remotely exploitable, low attack complexity.
vantage6 is privacy preserving federated learning infrastructure. Rated medium severity (CVSS 4.3), this vulnerability is remotely exploitable, low attack complexity.
vantage6 is privacy preserving federated learning infrastructure. Rated medium severity (CVSS 4.3), this vulnerability is remotely exploitable, low attack complexity. This Exposure of Sensitive Information vulnerability could allow attackers to access sensitive data that should not be disclosed.
vantage6 is privacy preserving federated learning infrastructure. Rated medium severity (CVSS 5.4), this vulnerability is remotely exploitable, low attack complexity. This Incorrect Authorization vulnerability could allow attackers to bypass authorization checks to access restricted resources.
vantage6 is privacy preserving federated learning infrastructure. Rated high severity (CVSS 7.2), this vulnerability is remotely exploitable, low attack complexity. Public exploit code available.
vantage6 is a privacy preserving federated learning infrastructure for secure insight exchange. Rated high severity (CVSS 8.8), this vulnerability is remotely exploitable, low attack complexity.
vantage6 is a privacy preserving federated learning infrastructure for secure insight exchange. Rated medium severity (CVSS 6.5), this vulnerability is remotely exploitable, low attack complexity.
Broken authorization in vantage6's algorithm store allows any authenticated algorithm developer to overwrite a peer's pending algorithm metadata - including the Docker image reference or tag - before that submission is approved by reviewers. Versions 5.0.2 and earlier of this pip-installable federated analytics platform are affected, with no patch available. The practical consequence is a supply-chain integrity failure: nodes and reviewers may trust and execute a container image entirely different from the one originally submitted for review, with no visible indication that a substitution occurred.
Improper access control in vantage6 nodes prior to version 5.0.0 allows malicious algorithm containers to read input and output files belonging to other algorithms running on the same node. This directly undermines the core privacy guarantee of the platform - a federated learning infrastructure explicitly designed for privacy-preserving analysis - by exposing sensitive intermediate data to adversarially crafted algorithms. No public exploit has been identified at time of analysis, and a patch is available in version 5.0.0.
Default hardcoded admin credentials in vantage6 expose servers running versions prior to 5.0.0 to unauthorized administrative access by any network-accessible attacker who attempts the well-known username 'root' and password 'root'. The vantage6 server initializes with this superuser account on first deployment, and administrators who fail to change or delete it leave a predictable, trivially exploitable entry point. While not confirmed actively exploited (no CISA KEV listing), the predictability of the credential pair and the sensitivity of vantage6's federated privacy-preserving analytics data make this a meaningful operational risk for unpatched deployments.
vantage6 servers auto-generate JWT secret keys using UUID1, a predictable algorithm that lacks cryptographic strength, allowing attackers to forge authentication tokens and gain unauthorized access to the privacy-preserving analysis platform. This affects all vantage6 versions prior to 4.11.0 where users have not manually defined a strong JWT secret. The vulnerability has a CVSS score of 7.5 with high confidentiality impact, as attackers can impersonate legitimate users without needing privileges or user interaction.
Critical authentication bypass vulnerability in vantage6 (an open-source federated learning and privacy-enhancing technology framework) that allows attackers with valid authenticated session access to brute-force user passwords through the change password endpoint without rate limiting or account lockout protections. An attacker can enumerate passwords infinitely by calling the password change route repeatedly, receiving detailed error messages indicating password correctness. The vulnerability affects vantage6 versions prior to 4.11 and carries a CVSS score of 9.8 (critical severity).
vantage6 is an open source framework built to enable, manage and deploy privacy enhancing technologies like Federated Learning and Multi-Party Computation. Rated medium severity (CVSS 5.3), this vulnerability is remotely exploitable, no authentication required, low attack complexity.
vantage6 is an open source framework built to enable, manage and deploy privacy enhancing technologies like Federated Learning and Multi-Party Computation. Rated medium severity (CVSS 6.5), this vulnerability is remotely exploitable, no authentication required, low attack complexity. This Incorrect Authorization vulnerability could allow attackers to bypass authorization checks to access restricted resources.
The vantage6 technology enables to manage and deploy privacy enhancing technologies like Federated Learning (FL) and Multi-Party Computation (MPC). Rated medium severity (CVSS 4.3), this vulnerability is remotely exploitable, low attack complexity.
The vantage6 technology enables to manage and deploy privacy enhancing technologies like Federated Learning (FL) and Multi-Party Computation (MPC). Rated low severity (CVSS 3.7), this vulnerability is remotely exploitable, no authentication required.
The vantage6 technology enables to manage and deploy privacy enhancing technologies like Federated Learning (FL) and Multi-Party Computation (MPC). Rated critical severity (CVSS 9.8), this vulnerability is remotely exploitable, no authentication required, low attack complexity.
The vantage6 technology enables to manage and deploy privacy enhancing technologies like Federated Learning (FL) and Multi-Party Computation (MPC). Rated high severity (CVSS 8.8), this vulnerability is remotely exploitable, low attack complexity. This Code Injection vulnerability could allow attackers to inject and execute arbitrary code within the application.
vantage6 is a framework to manage and deploy privacy enhancing technologies like Federated Learning (FL) and Multi-Party Computation (MPC). Rated high severity (CVSS 8.8), this vulnerability is remotely exploitable, low attack complexity.
vantage6 is privacy preserving federated learning infrastructure. Rated medium severity (CVSS 4.3), this vulnerability is remotely exploitable, low attack complexity.
vantage6 is privacy preserving federated learning infrastructure. Rated medium severity (CVSS 4.3), this vulnerability is remotely exploitable, low attack complexity. This Exposure of Sensitive Information vulnerability could allow attackers to access sensitive data that should not be disclosed.
vantage6 is privacy preserving federated learning infrastructure. Rated medium severity (CVSS 5.4), this vulnerability is remotely exploitable, low attack complexity. This Incorrect Authorization vulnerability could allow attackers to bypass authorization checks to access restricted resources.
vantage6 is privacy preserving federated learning infrastructure. Rated high severity (CVSS 7.2), this vulnerability is remotely exploitable, low attack complexity. Public exploit code available.
vantage6 is a privacy preserving federated learning infrastructure for secure insight exchange. Rated high severity (CVSS 8.8), this vulnerability is remotely exploitable, low attack complexity.
vantage6 is a privacy preserving federated learning infrastructure for secure insight exchange. Rated medium severity (CVSS 6.5), this vulnerability is remotely exploitable, low attack complexity.