Python 安全漏洞

Python is an open source, object-oriented programming language from the Python Foundation. The language is extensible, supports modules and packages, and supports multiple platforms. A security vulnerability exists in Python 3.12 and later, which stems from an extraction filter that allows...

CPython 安全漏洞

CPython is a Python interpreter implemented in C from the Python Foundation. A security vulnerability exists in CPython that stems from a filter member not being skipped and still being extracted when TarFile.errorlevel = 0...

PT-2025-23607

Name of the Vulnerable Software and Affected Versions Python versions 3.12 through 3.13 Description An issue exists in the tarfile module when extracting untrusted tar archives. When using the TarFile.extractall or TarFile.extract functions with the filter parameter set to data or tar, it is...

PT-2025-23609

Name of the Vulnerable Software and Affected Versions Python versions 3.12 and later Description The issue allows the extraction filter to be ignored, enabling symlink targets to point outside the destination directory and the modification of some file metadata. This affects users who utilize the...

PT-2025-23610

Name of the Vulnerable Software and Affected Versions python3.12 versions prior to 3.12.7-1ubuntu2.2 python3.13 versions prior to 3.13.0-1ubuntu0.3 Description Python incorrectly handles tar archive extraction when using the filtering option. Specifically, when TarFile.errorlevel is set to 0 duri...

CVE-2025-48387

tar-fs provides filesystem bindings for tar-stream. Versions prior to 3.0.9, 2.1.3, and 1.16.5 have an issue where an extract can write outside the specified dir with a specific tarball. This has been patched in versions 3.0.9, 2.1.3, and 1.16.5. As a workaround, use the ignore option to ignore n...

CVE-2025-48387 tar-fs has issue where extract can write outside the specified dir with a specific tarball

tar-fs provides filesystem bindings for tar-stream. Versions prior to 3.0.9, 2.1.3, and 1.16.5 have an issue where an extract can write outside the specified dir with a specific tarball. This has been patched in versions 3.0.9, 2.1.3, and 1.16.5. As a workaround, use the ignore option to ignore n...

CVE-2025-48387 tar-fs has issue where extract can write outside the specified dir with a specific tarball

tar-fs provides filesystem bindings for tar-stream. Versions prior to 3.0.9, 2.1.3, and 1.16.5 have an issue where an extract can write outside the specified dir with a specific tarball. This has been patched in versions 3.0.9, 2.1.3, and 1.16.5. As a workaround, use the ignore option to ignore n...

CVE-2025-48387

tar-fs provides filesystem bindings for tar-stream. Versions prior to 3.0.9, 2.1.3, and 1.16.5 have an issue where an extract can write outside the specified dir with a specific tarball. This has been patched in versions 3.0.9, 2.1.3, and 1.16.5. As a workaround, use the ignore option to ignore n...

Malware Masquerades as Legitimate, Hidden WordPress Plugin with Remote Code Execution Capabilities

📢In case you missed it, Wordfence just published itsannual WordPress security report for 2024. Read it now to learn more about the evolving risk landscape of WordPress so you can keep your sites protected in 2025 and beyond. The Wordfence Threat Intelligence team recently discovered an interestin...

MISLEADER: Defending against Model Extraction with Ensembles of Distilled Models

Model extraction attacks aim to replicate the functionality of a black-box model through query access, threatening the intellectual property IP of machine-learning-as-a-service MLaaS providers. Defending against such attacks is challenging, as it must balance efficiency, robustness, and utility...

Video Signature: In-Generation Watermarking for Latent Video Diffusion Models

The rapid development of Artificial Intelligence Generated Content AIGC has led to significant progress in video generation but also raises serious concerns about intellectual property protection and reliable content tracing. Watermarking is a widely adopted solution to this issue, but existing...

CVE-2025-5287

The Likes and Dislikes Plugin plugin for WordPress is vulnerable to SQL Injection via the 'post' parameter in all versions up to, and including, 1.0.0 due to insufficient escaping on the user supplied parameter and lack of sufficient preparation on the existing SQL query. This makes it possible f...

Breaking the Gold Standard: Extracting Forgotten Data under Exact Unlearning in Large Language Models

Large language models are typically trained on datasets collected from the web, which may inadvertently contain harmful or sensitive personal information. To address growing privacy concerns, unlearning methods have been proposed to remove the influence of specific data from trained models. Of...

CVE-2025-5287

The CVE-2025-5287 vulnerability affects the WordPress plugin Likes and Dislikes (≤ 1.0.0). Root cause: insufficient escaping / lack of prepared statements in the SQL queries used by the my_likes_dislikes_action/ajax flow, allowing unauthenticated SQL injection via the post parameter. Impact: atta...

Exploit for Exposure of Sensitive Information to an Unauthorized Actor in Microsoft

CVE-2025-24071 PoC SMB + TAR Extraction Method This is a Po...

System Prompt Extraction Attacks and Defenses in Large Language Models

The system prompt in Large Language Models LLMs plays a pivotal role in guiding model behavior and response generation. Often containing private configuration details, user roles, and operational instructions, the system prompt has become an emerging attack target. Recent studies have shown that...

RADEP: a Resilient Adaptive Defense Framework against Model Extraction Attacks

Machine Learning as a Service MLaaS enables users to leverage powerful machine learning models through cloud-based APIs, offering scalability and ease of deployment. However, these services are vulnerable to model extraction attacks, where adversaries repeatedly query the application programming...

Evaluating Query Efficiency and Accuracy of Transfer Learning-Based Model Extraction Attack in Federated Learning

Federated Learning FL is a collaborative learning framework designed to protect client data, yet it remains highly vulnerable to Intellectual Property IP threats. Model extraction ME attacks pose a significant risk to Machine Learning as a Service MLaaS platforms, enabling attackers to replicate...

CVE-2025-22957

A SQL injection vulnerability exists in the front-end of the website in ZZCMS = 2023, which can be exploited without any authentication. This vulnerability could potentially allow attackers to gain unauthorized access to the database and extract sensitive information...