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Rapid7 Vulnerability Database (full)
Rapid7 Vulnerability Database (full)
•added 2026/08/10 12:00 a.m.•1 views

CVE-2026-18620: Authorization Bypass Through User-Controlled Key

A flaw was found in Data Science Pipelines. A restricted user, or tenant, can exploit an improper authorization vulnerability in the setDefaultServiceAccount function. By specifying a more privileged ServiceAccount SA during a CreateRun request, an attacker can bypass authorization checks. This...

7.1CVSS6AI score0.00478EPSS
SaveExploits0References2
Rapid7 Vulnerability Database (full)
Rapid7 Vulnerability Database (full)
•added 2026/08/10 12:00 a.m.•3 views

CVE-2026-18608: Execution with Unnecessary Privileges

A flaw was found in the Data Science Pipelines Operator DSPO. The operator's ClusterRole, which defines its permissions, includes extensive privileges beyond what is necessary for its operation. These excessive permissions, such as the ability to execute commands within pods and manage cluster-wi...

8.7CVSS6.1AI score0.007EPSS
SaveExploits0References2
Rapid7 Vulnerability Database (full)
Rapid7 Vulnerability Database (full)
•added 2026/08/10 12:00 a.m.•3 views

CVE-2026-18617: Improperly Controlled Modification of Dynamically-Determined Object Attributes

A flaw was found in the Data Science Pipelines Operator DSPO. A namespace editor can exploit a vulnerability in the spec.database.customExtraParams field, which allows for the injection of dangerous parameters into the MySQL Data Source Name DSN string. By manipulating these parameters, an attack...

8.8CVSS5.8AI score0.00733EPSS
SaveExploits0References2
Rapid7 Vulnerability Database (full)
Rapid7 Vulnerability Database (full)
•added 2026/08/10 12:00 a.m.•3 views

CVE-2026-18611: Use of Cryptographically Weak Pseudo-Random Number Generator (PRNG)

A flaw was found in the Data Science Pipelines Operator. This vulnerability allows an unauthenticated attacker to derive sensitive credentials, such as MariaDB root/user passwords and MinIO access/secret keys, if they can access the MinIO Route or MariaDB Service. The flaw occurs because the...

7.5CVSS5.8AI score0.00606EPSS
SaveExploits0References2
Snyk
Snyk
•added 2026/01/01 6:26 a.m.•4 views

Deserialization of Untrusted Data

Overview ai-data-science-team is a Build and run an AI-powered data science team. Affected versions of this package are vulnerable to Deserialization of Untrusted Data via the loadpickle function in aidatascienceteam/tools/dataloader.py. An attacker can execute arbitrary code by supplying a...

9.8CVSS7.7AI score
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NVD
NVD
•added 2025/11/18 4:15 p.m.•13 views

CVE-2025-63603

A command injection vulnerability exists in the MCP Data Science Server's reading-plus-ai/mcp-server-data-exploration 0.1.6 in the safeeval function src/mcpserverds/server.py:108. The function uses Python's exec to execute user-supplied scripts but fails to restrict the builtins dictionary in the...

6.5CVSS0.00858EPSS
SaveExploits1References1
Rapid7 Vulnerability Database (full)
Rapid7 Vulnerability Database (full)
•added 2025/11/18 12:00 a.m.•2 views

CVE-2025-63603: Improper Neutralization of Special Elements used in a Command

A command injection vulnerability exists in the MCP Data Science Server's reading-plus-ai/mcp-server-data-exploration 0.1.6 in the safeeval function src/mcpserverds/server.py:108. The function uses Python's exec to execute user-supplied scripts but fails to restrict the builtins dictionary in the...

6.5CVSS6.4AI score0.00858EPSS
SaveExploits1References1
Positive Technologies
Positive Technologies
•added 2025/11/18 12:00 a.m.•16 views

PT-2025-47331

Name of the Vulnerable Software and Affected Versions MCP Data Science Server version 0.1.6 Description A command injection issue exists in the safe eval function src/mcp server ds/server.py:108 of the software. The function utilizes Python’s exec to run scripts provided by users, but it does not...

6.5CVSS7.9AI score0.00858EPSS
SaveExploits1References3
Vulnrichment
Vulnrichment
•added 2025/11/18 12:00 a.m.•5 views

CVE-2025-63603

A command injection vulnerability exists in the MCP Data Science Server's reading-plus-ai/mcp-server-data-exploration 0.1.6 in the safeeval function src/mcpserverds/server.py:108. The function uses Python's exec to execute user-supplied scripts but fails to restrict the builtins dictionary in the...

8AI score0.00858EPSS
SaveExploits1References1
EUVD
EUVD
•added 2025/10/07 12:30 a.m.•15 views

EUVD-2021-16597

Malware in sbrugna...

4.6CVSS5AI score0.00457EPSS
SaveExploits0References2
EUVD
EUVD
•added 2025/10/07 12:30 a.m.•12 views

EUVD-2018-7536

Malware in sbrugna...

5.3CVSS5.5AI score0.01195EPSS
SaveExploits0References3
EUVD
EUVD
•added 2025/10/07 12:30 a.m.•16 views

EUVD-2018-3255

Malware in sbrugna...

9.8CVSS9.5AI score0.02399EPSS
SaveExploits0References2
EUVD
EUVD
•added 2025/10/07 12:30 a.m.•18 views

EUVD-2019-18375

Malware in sbrugna...

8.1CVSS6.9AI score0.01747EPSS
SaveExploits0References4
EUVD
EUVD
•added 2025/10/07 12:30 a.m.•16 views

EUVD-2019-18376

Malware in sbrugna...

5CVSS5AI score0.01226EPSS
SaveExploits0References4
EUVD
EUVD
•added 2025/10/07 12:30 a.m.•16 views

EUVD-2018-12666

Malware in sbrugna...

9.9CVSS9.3AI score0.0099EPSS
SaveExploits0References3
EUVD
EUVD
•added 2025/10/07 12:30 a.m.•11 views

EUVD-2018-12665

Malware in sbrugna...

8.3CVSS8.2AI score0.00832EPSS
SaveExploits0References2
EUVD
EUVD
•added 2025/10/07 12:30 a.m.•15 views

EUVD-2017-6988

Malware in sbrugna...

8.8CVSS8.8AI score0.00918EPSS
SaveExploits0References2
EUVD
EUVD
•added 2025/10/03 8:07 p.m.•11 views

EUVD-2022-52425

Malicious code in bioql PyPI...

8.7CVSS5.8AI score0.00522EPSS
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NVD
NVD
•added 2025/09/05 10:15 p.m.•23 views

CVE-2025-58366

Onyxia is a data science environment for kubernetes. In versions 4.6.0 through 4.8.0, Onyxia-API leaked the credentials of private helm repositories in the public unauthenticated /public/catalogs endpoint.vOnly instances using private helm repositories i.e setting username & password in the...

9.4CVSS0.00352EPSS
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Packet Storm News
Packet Storm News
•added 2025/05/26 12:00 a.m.•16 views

Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs

As Artificial Intelligence AI systems, particularly those based on machine learning ML, become integral to high-stakes applications, their probabilistic and opaque nature poses significant challenges to traditional verification and validation methods. These challenges are exacerbated in regulated...

6.9AI score
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