44655 matches found
CVE-2026-57320
Unauthenticated Cross Site Scripting XSS in BEAR = 1.1.8 versions...
CVE-2026-50171
A flaw was found in the @angular/common package of Angular. The formatNumber function, which is also used by DecimalPipe, PercentPipe, and CurrencyPipe, does not properly validate the upper bounds of the digitsInfo parameter. A remote attacker could exploit this by providing a maliciously crafted...
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...
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 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...
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 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...
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-2026-53391
An insecure deserialization vulnerability exists in the BentoML framework, allowing remote code execution RCE by sending a specially crafted POST request. By exploiting this vulnerability, attackers can execute arbitrary commands on the server hosting the BentoML application. The vulnerability is...
MESA: Prioritizing Vulnerable Communication Channels for Securing Multi-Agent Systems
Multi-agent systems MAS are increasingly used to automate complex, distributed workflows. However, their inter-agent communication channels introduce new attack surfaces that remain poorly understood and are difficult to defend against. In this paper, we address how defenders should prioritize...
A Hybrid Framework for Crypto-Ransomware Detection in Enterprise Shared Storage
Most corporate workplace environments enforce policies and technical controls that limit the storage of sensitive data on client endpoints. Consequently, ransomware operators have evolved variants that expand their attack surface from local systems to network drives and shared storage resources. ...
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...
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...
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...
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-2026-53676
Mixpost through 2.6.0 contains a reflected cross-site scripting vulnerability that allows unauthenticated attackers to execute arbitrary JavaScript in authenticated users' browsers by crafting malicious OAuth callback URLs with unsanitized error query parameters. Attackers can exploit the OAuth...
PT-2026-53488
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 weights only=True...