Aggregator

本篇文章将以系统演化为起点，深入揭示用户在Android中为何“身份注定暴露”。

本篇文章将以系统演化为起点，深入揭示用户在Android中为何“身份注定暴露”。

本篇文章将以系统演化为起点，深入揭示用户在Android中为何“身份注定暴露”。

A vulnerability classified as problematic was found in ClipperCMS 1.3.3. This vulnerability affects unknown code of the file /assets/files. The manipulation leads to cross-site request forgery. This vulnerability was named CVE-2018-19135. The attack can be initiated remotely. Furthermore, there is an exploit available.

A vulnerability classified as problematic was found in HDF5 up to 1.14.6. This vulnerability affects the function H5F__accum_free of the file src/H5Faccum.c. The manipulation of the argument overlap_size leads to heap-based buffer overflow. This vulnerability was named CVE-2025-2915. Attacking locally is a requirement. Furthermore, there is an exploit available.

A vulnerability classified as problematic has been found in HDF5 up to 1.14.6. This affects the function H5FS__sinfo_Srialize_Sct_cb of the file src/H5FScache.c. The manipulation of the argument sect leads to heap-based buffer overflow. This vulnerability is uniquely identified as CVE-2025-2914. Local access is required to approach this attack. Furthermore, there is an exploit available.

A vulnerability was found in HDF5 up to 1.14.6. It has been rated as problematic. Affected by this issue is the function H5FL__blk_gc_list of the file src/H5FL.c. The manipulation of the argument H5FL_blk_head_t leads to use after free. This vulnerability is handled as CVE-2025-2913. An attack has to be approached locally. Furthermore, there is an exploit available.

A vulnerability was found in HDF5 up to 1.14.6. It has been declared as problematic. Affected by this vulnerability is the function H5O_msg_flush of the file src/H5Omessage.c. The manipulation of the argument oh leads to heap-based buffer overflow. This vulnerability is known as CVE-2025-2912. The attack needs to be approached locally. Furthermore, there is an exploit available.

Cybercriminals are increasingly targeting MailChimp, a popular email marketing platform, through sophisticated phishing and social engineering attacks. Recent incidents reveal compromised accounts being used to exfiltrate subscriber lists, impersonate trusted brands, and launch secondary attacks. Attackers bypass multi-factor authentication (MFA) by stealing session cookies via infostealer malware like RedLine and Lumma, enabling unauthorized access without […]

The post Hackers Exploit MailChimp Email Marketing Platform Using Phishing and Social Engineering Tactics appeared first on GBHackers Security | #1 Globally Trusted Cyber Security News Platform.

Submit #520899 / VDB-301888

Submit #520880 / VDB-301887

Submit #520404 / VDB-301886

Submit #519966 / VDB-301885

This is a truly fascinating paper: “Trusted Machine Learning Models Unlock Private Inference for Problems Currently Infeasible with Cryptography.” The basic idea is that AIs can act as trusted third parties:

Abstract: We often interact with untrusted parties. Prioritization of privacy can limit the effectiveness of these interactions, as achieving certain goals necessitates sharing private data. Traditionally, addressing this challenge has involved either seeking trusted intermediaries or constructing cryptographic protocols that restrict how much data is revealed, such as multi-party computations or zero-knowledge proofs. While significant advances have been made in scaling cryptographic approaches, they remain limited in terms of the size and complexity of applications they can be used for. In this paper, we argue that capable machine learning models can fulfill the role of a trusted third party, thus enabling secure computations for applications that were previously infeasible. In particular, we describe Trusted Capable Model Environments (TCMEs) as an alternative approach for scaling secure computation, where capable machine learning model(s) interact under input/output constraints, with explicit information flow control and explicit statelessness. This approach aims to achieve a balance between privacy and computational efficiency, enabling private inference where classical cryptographic solutions are currently infeasible. We describe a number of use cases that are enabled by TCME, and show that even some simple classic cryptographic problems can already be solved with TCME. Finally, we outline current limitations and discuss the path forward in implementing them...

The post AIs as Trusted Third Parties appeared first on Security Boulevard.

关键词安全漏洞网络安全研究人员日前在Synology Mail Server中发现一个被追踪为CVE-2025

关键词零日漏洞Mozilla 针对 Windows 系统上的 Firefox 浏览器发布了紧急安全更新，以解决

关键词恶意软件网络安全研究人员近期揭露一起新型网络攻击事件：不法分子正利用即将上映的迪士尼真人电影《白雪公主》

关键词数据泄露美国主要互联网服务提供商WideOpenWest（WOW！）近日遭遇重大网络安全事件。