VulnerableCode Package Details - pkg:pypi/vantage6@4.1.3

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Vulnerability	Summary	Fixed by
VCID-cc7t-us5t-ffbb Aliases: CVE-2025-43863 GHSA-j6g5-p62x-58hw PYSEC-2025-220	vantage6 is an open source framework built to enable, manage and deploy privacy enhancing technologies like Federated Learning and Multi-Party Computation. If attacker gets access to an authenticated session, they can try to brute-force the user password by using the change password functionality: they can call that route infinitely which will return the message that password is wrong until it is correct. This vulnerability is fixed in 4.11.	4.11.0 Affected by 0 other vulnerabilities.
VCID-hdj5-dmqq-cqdp Aliases: CVE-2024-21671 GHSA-45gq-q4xh-cp53 PYSEC-2024-31	The vantage6 technology enables to manage and deploy privacy enhancing technologies like Federated Learning (FL) and Multi-Party Computation (MPC). It is possible to find out usernames from the response time of login requests. This could aid attackers in credential attacks. Version 4.2.0 patches this vulnerability.	4.2.0 Affected by 1 other vulnerability. This version is affected by these other vulnerabilities: {{ fixed_by_vuln.vulnerability_id }}
VCID-sgwu-s2e9-7qbp Aliases: CVE-2024-21649 GHSA-w9h2-px87-74vx PYSEC-2024-30	The vantage6 technology enables to manage and deploy privacy enhancing technologies like Federated Learning (FL) and Multi-Party Computation (MPC). Prior to 4.2.0, authenticated users could inject code into algorithm environment variables, resulting in remote code execution. This vulnerability is patched in 4.2.0.	4.2.0 Affected by 1 other vulnerability. This version is affected by these other vulnerabilities: {{ fixed_by_vuln.vulnerability_id }}
VCID-tjnd-7tza-1fay Aliases: CVE-2024-22193 GHSA-rjmv-52mp-gjrr PYSEC-2024-32	The vantage6 technology enables to manage and deploy privacy enhancing technologies like Federated Learning (FL) and Multi-Party Computation (MPC). There are no checks on whether the input is encrypted if a task is created in an encrypted collaboration. Therefore, a user may accidentally create a task with sensitive input data that will then be stored unencrypted in a database. Users should ensure they set the encryption setting correctly. This vulnerability is patched in 4.2.0.	4.2.0 Affected by 1 other vulnerability. This version is affected by these other vulnerabilities: {{ fixed_by_vuln.vulnerability_id }}

Vulnerability

Summary

Fixed by

VCID-cc7t-us5t-ffbb
Aliases:
CVE-2025-43863
GHSA-j6g5-p62x-58hw
PYSEC-2025-220

vantage6 is an open source framework built to enable, manage and deploy privacy enhancing technologies like Federated Learning and Multi-Party Computation. If attacker gets access to an authenticated session, they can try to brute-force the user password by using the change password functionality: they can call that route infinitely which will return the message that password is wrong until it is correct. This vulnerability is fixed in 4.11.

4.11.0
Affected by 0 other vulnerabilities.

VCID-hdj5-dmqq-cqdp
Aliases:
CVE-2024-21671
GHSA-45gq-q4xh-cp53
PYSEC-2024-31

The vantage6 technology enables to manage and deploy privacy enhancing technologies like Federated Learning (FL) and Multi-Party Computation (MPC). It is possible to find out usernames from the response time of login requests. This could aid attackers in credential attacks. Version 4.2.0 patches this vulnerability.

4.2.0
Affected by 1 other vulnerability.

VCID-sgwu-s2e9-7qbp
Aliases:
CVE-2024-21649
GHSA-w9h2-px87-74vx
PYSEC-2024-30

The vantage6 technology enables to manage and deploy privacy enhancing technologies like Federated Learning (FL) and Multi-Party Computation (MPC). Prior to 4.2.0, authenticated users could inject code into algorithm environment variables, resulting in remote code execution. This vulnerability is patched in 4.2.0.

4.2.0
Affected by 1 other vulnerability.

VCID-tjnd-7tza-1fay
Aliases:
CVE-2024-22193
GHSA-rjmv-52mp-gjrr
PYSEC-2024-32

The vantage6 technology enables to manage and deploy privacy enhancing technologies like Federated Learning (FL) and Multi-Party Computation (MPC). There are no checks on whether the input is encrypted if a task is created in an encrypted collaboration. Therefore, a user may accidentally create a task with sensitive input data that will then be stored unencrypted in a database. Users should ensure they set the encryption setting correctly. This vulnerability is patched in 4.2.0.

4.2.0
Affected by 1 other vulnerability.

Vulnerability	Summary	Aliases
This package is not known to fix vulnerabilities.

Vulnerability

Summary

Aliases

This package is not known to fix vulnerabilities.

Date	Actor	Action	Vulnerability	Source	VulnerableCode Version
2026-06-02T04:23:09.489484+00:00	Pypa Importer	Affected by	VCID-cc7t-us5t-ffbb	https://github.com/pypa/advisory-database/blob/main/vulns/vantage6/PYSEC-2025-220.yaml	38.6.0
2026-06-02T04:20:48.773869+00:00	Pypa Importer	Affected by	VCID-tjnd-7tza-1fay	https://github.com/pypa/advisory-database/blob/main/vulns/vantage6/PYSEC-2024-32.yaml	38.6.0
2026-06-02T04:20:47.913210+00:00	Pypa Importer	Affected by	VCID-sgwu-s2e9-7qbp	https://github.com/pypa/advisory-database/blob/main/vulns/vantage6/PYSEC-2024-30.yaml	38.6.0
2026-06-02T04:20:47.052459+00:00	Pypa Importer	Affected by	VCID-hdj5-dmqq-cqdp	https://github.com/pypa/advisory-database/blob/main/vulns/vantage6/PYSEC-2024-31.yaml	38.6.0