databricks-genai (>=1.1.8, <=1.2.0a22), sports-prediction-framework (>=0.1.0, <=0.1.4) potentially affected by CVE-2026-2635 via mlflow (2.20.2)

mlflow PYPI version 2.20.2 is affected by a known vulnerability. The following packages have a transitive dependency on mlflow and may be impacted: - databricks-genai =1.1.8, =0.1.0, =0.1.4 Source cves: CVE-2026-2635 Source advisory: OSV:PYSEC-2026-421...

PYSEC-2026-404 Ludwig framework is vulnerable to insecure deserialization through its predict() method.

The Ludwig framework thru 0.10.4 is vulnerable to insecure deserialization CWE-502 through its predict method. When a user provides a dataset file path to the predict method, the framework automatically determines the file format. If the file is a pickle .pkl file, it is loaded using...

Ludwig framework is vulnerable to insecure deserialization through its predict() method.

The Ludwig framework thru 0.10.4 is vulnerable to insecure deserialization CWE-502 through its predict method. When a user provides a dataset file path to the predict method, the framework automatically determines the file format. If the file is a pickle .pkl file, it is loaded using...

mamba language model framework vulnerable to insecure deserialization when loading pre-trained models from HuggingFace Hub

The mamba language model framework thru 2.2.6 is vulnerable to insecure deserialization CWE-502 when loading pre-trained models from HuggingFace Hub. The MambaLMHeadModel.frompretrained method uses torch.load to load the pytorchmodel.bin weight file without enabling the security-restrictive...

PYSEC-2026-406 mamba language model framework vulnerable to insecure deserialization when loading pre-trained models from HuggingFace Hub

The mamba language model framework thru 2.2.6 is vulnerable to insecure deserialization CWE-502 when loading pre-trained models from HuggingFace Hub. The MambaLMHeadModel.frompretrained method uses torch.load to load the pytorchmodel.bin weight file without enabling the security-restrictive...

Ludwig framework is vulnerable to insecure deserialization in its model serving component

The Ludwig framework thru 0.10.4 is vulnerable to insecure deserialization CWE-502 in its model serving component. When starting a model server with the ludwig serve command, the framework loads model weight files using torch.load without enabling the security-restrictive weightsonly=True...

PYSEC-2026-405 Ludwig framework is vulnerable to insecure deserialization in its model serving component

The Ludwig framework thru 0.10.4 is vulnerable to insecure deserialization CWE-502 in its model serving component. When starting a model server with the ludwig serve command, the framework loads model weight files using torch.load without enabling the security-restrictive weightsonly=True...

databricks-genai (>=1.1.8, <=1.2.0a22), sports-prediction-framework (>=0.1.0, <=0.1.4) potentially affected by CVE-2026-0545 via mlflow (2.20.2)

mlflow PYPI version 2.20.2 is affected by a known vulnerability. The following packages have a transitive dependency on mlflow and may be impacted: - databricks-genai =1.1.8, =0.1.0, =0.1.4 Source cves: CVE-2026-0545 Source advisory: OSV:PYSEC-2026-419...

databricks-genai (>=1.1.8, <=1.2.0a22), sports-prediction-framework (>=0.1.0, <=0.1.4) potentially affected by CVE-2025-15379 via mlflow (2.20.2)

mlflow PYPI version 2.20.2 is affected by a known vulnerability. The following packages have a transitive dependency on mlflow and may be impacted: - databricks-genai =1.1.8, =0.1.0, =0.1.4 Source cves: CVE-2025-15379 Source advisory: OSV:PYSEC-2026-423...

heaven-framework (>=0.1.15, <=0.1.22), oracle-oci-api-mcp-server (>=1.0.0, <=1.0.1) +18 more potentially affected by CVE-2026-32871 via fastmcp (2.12.2)

fastmcp PYPI version 2.12.2 is affected by a known vulnerability. The following packages have a transitive dependency on fastmcp and may be impacted: - heaven-framework =0.1.15, =1.0.0, =1.0.0, =1.0.0, =1.0.0, =1.0.0, =1.0.0, =1.0.0, =1.0.0, =1.0.0, =1.0.0, =1.0.0, =1.0.0, =1.0.1 and more Source...

databricks-genai (>=1.1.8, <=1.2.0a22), sports-prediction-framework (>=0.1.0, <=0.1.4) potentially affected by CVE-2025-15036 via mlflow (2.20.2)

mlflow PYPI version 2.20.2 is affected by a known vulnerability. The following packages have a transitive dependency on mlflow and may be impacted: - databricks-genai =1.1.8, =0.1.0, =0.1.4 Source cves: CVE-2025-15036 Source advisory: OSV:PYSEC-2026-425...

databricks-genai (>=1.1.8, <=1.2.0a22), sports-prediction-framework (>=0.1.0, <=0.1.4) potentially affected by CVE-2026-0596 via mlflow (2.20.2)

mlflow PYPI version 2.20.2 is affected by a known vulnerability. The following packages have a transitive dependency on mlflow and may be impacted: - databricks-genai =1.1.8, =0.1.0, =0.1.4 Source cves: CVE-2026-0596 Source advisory: OSV:PYSEC-2026-424...

PYSEC-2026-519 Ray OS Command Injection vulnerability

A command injection exists in Ray's cpuprofile URL parameter allowing attackers to execute os commands on the system running the ray dashboard remotely without authentication...

Ray Missing Authorization vulnerability

LFI in Ray's /static/ directory allows attackers to read any file on the server without authentication. The issue is fixed in version 2.8.1+. Ray maintainers response can be found here:...

rpc.py vulnerable to Deserialization of Untrusted Data

rpc.py through 0.6.0 allows Remote Code Execution because an unpickle occurs when the "serializer: pickle" HTTP header is sent. In other words, although JSON not Pickle is the default data format, an unauthenticated client can cause the data to be processed with unpickle.Per the maintainer, rpc.p...

PT-2026-53489

The mamba language model framework thru 2.2.6 is vulnerable to insecure deserialization CWE-502 when loading pre-trained models from HuggingFace Hub. The MambaLMHeadModel.from pretrained method uses torch.load to load the pytorch model.bin weight file without enabling the security-restrictive...

PT-2026-86278

Уязвимость фреймворка для проектирования систем управления контентом Webasyst и CMS системы Shop-Script связана с непринятием мер по защите структуры запроса SQL. Эксплуатация уязвимости может позволить нарушителю, действующему удаленно, выполнить произвольный SQL-код...

PT-2026-53487

The Ludwig framework thru 0.10.4 is vulnerable to insecure deserialization CWE-502 through its predict method. When a user provides a dataset file path to the predict method, the framework automatically determines the file format. If the file is a pickle .pkl file, it is loaded using pandas.read...

CAN We Trust Your Results? A Cross-Dataset Study of Automotive IDS Evaluation

The increasing connectivity of modern vehicles has made securing in-vehicle communication networks a critical challenge. Intrusion Detection Systems IDS have been widely studied as a defense mechanism for detecting malicious activities on the Controller Area Network CAN bus. However, the evaluati...

AI-Generated PowerShell Malware: An Experimental Framework and Dataset

Generative AI has emerged as a significant cybersecurity threat, with several recent attack campaigns leveraging LLMs to generate code for malicious purposes via scripting languages such as PowerShell. Consequently, for cybersecurity analysts, it is imperative to investigate the offensive...