4814 matches found
EUVD-2022-15380
Malicious code in bioql PyPI...
EUVD-2024-46652
Malicious code in bioql PyPI...
EUVD-2024-49614
Malicious code in bioql PyPI...
EUVD-2025-7224
Malicious code in bioql PyPI...
EUVD-2025-6836
Malicious code in bioql PyPI...
EUVD-2025-19170
Malicious code in bioql PyPI...
EUVD-2021-9355
Malicious code in bioql PyPI...
EUVD-2024-31728
Malicious code in bioql PyPI...
EUVD-2023-12908
Malicious code in bioql PyPI...
EUVD-2025-16116
Malicious code in bioql PyPI...
EUVD-2021-9370
Malicious code in bioql PyPI...
EUVD-2024-44087
Malicious code in bioql PyPI...
EUVD-2024-50324
Malicious code in bioql PyPI...
EUVD-2024-47859
Malicious code in bioql PyPI...
EUVD-2025-21001
Malicious code in bioql PyPI...
EUVD-2025-25951
Malicious code in bioql PyPI...
BIT-GITLAB-2025-8014 Allocation of Resources Without Limits or Throttling in GitLab
Denial of Service issue in GraphQL endpoints in Gitlab EE/CE affecting all versions from 11.10 prior to 18.2.7, 18.3 prior to 18.3.3, and 18.4 prior to 18.4.1 allows unauthenticated users to potentially bypass query complexity limits leading to resource exhaustion and service disruption...
BIT-GITLAB-2025-11042 Allocation of Resources Without Limits or Throttling in GitLab
An issue was discovered in GitLab CE/EE affecting all versions starting from 17.2 before 18.2.7, 18.3 before 18.3.3, and 18.4 before 18.4.1, that allows an attacker to cause uncontrolled CPU consumption, potentially leading to a Denial of Service DoS condition while using specific GraphQL queries...
GitLab GraphQL API DoS
The vulnerability of the GraphQL API component of the software platform based on Git for collaborative code development on GitLab is related to the unlimited distribution of resources during HTTP response processing. Exploiting this vulnerability can allow a malicious actor to cause service...
CVE-2025-8014
Denial of Service issue in GraphQL endpoints in Gitlab EE/CE affecting all versions from 11.10 prior to 18.2.7, 18.3 prior to 18.3.3, and 18.4 prior to 18.4.1 allows unauthenticated users to potentially bypass query complexity limits leading to resource exhaustion and service disruption...