Tracking GPTs Third Party Service: Automation, Analysis, and Insights

ChatGPT has quickly advanced from simple natural language processing to tackling more sophisticated and specialized tasks. Drawing inspiration from the success of mobile app ecosystems, OpenAI allows developers to create applications that interact with third-party services, known as GPTs. GPTs ca...

WhatsApp to start targeting you with ads

WhatsApp has announced that it will start to show you targeted ads on the app. The ads, it says, will appear under the Updates tab. WhatsApp launched the Updates tab a year ago, and now 1.5 billion people visit it every day. Updates has historically been a place for users to follow news and updat...

Smart air fryers ordered to stop invading our digital privacy

In a confirmation that we've gone full Black Mirror, the UK's privacy czar has wagged a finger at air fryer manufacturers and told them to stop playing with our data. New draft guidance from the Information Commissioner's Office ICO targets not just air fryer vendors but manufacturers of any smar...

Meta Starts Showing Ads on WhatsApp After 6-Year Delay From 2018 Announcement

Meta Platforms on Monday announced that it's bringing advertising to WhatsApp, but emphasized that the ads are "built with privacy in mind." The ads are expected to be displayed on the Updates tab through its Stories-like Status feature, which allows ephemeral sharing of photos, videos, voice...

Weblate exposes personal IP address via e-mail

Impact The audit log notifications included the full IP address of the acting user. This could be obtained by third-party servers such as SMTP relays, or spam filters. Patches This issue has been addressed in Weblate 5.12 via https://github.com/WeblateOrg/weblate/pull/15102. References Thanks to...

How to Protect Yourself From Phone Searches at the US Border

Customs and Border Protection has broad authority to search travelers’ devices when they cross into the United States. Here’s what you can do to protect your digital life while at the US border...

A week in security (June 9 – June 15)

Last week on Malwarebytes Labs: Been scammed online? Here’s what to do How and where to report an online scam Google bug allowed phone number of almost any user to be discovered 44% of people encounter a mobile scam every single day, Malwarebytes finds GirlsDoPorn owner faces life in jail after...

Theoretically Unmasking Inference Attacks against LDP-Protected Clients in Federated Vision Models

Federated Learning enables collaborative learning among clients via a coordinating server while avoiding direct data sharing, offering a perceived solution to preserve privacy. However, recent studies on Membership Inference Attacks MIAs have challenged this notion, showing high success rates...

Mitigating Data Poisoning Attacks to Local Differential Privacy

The distributed nature of local differential privacy LDP invites data poisoning attacks and poses unforeseen threats to the underlying LDP-supported applications. In this paper, we propose a comprehensive mitigation framework for popular frequency estimation, which contains a suite of novel...

TencentOS Server 4: firefox (TSSA-2025:0151)

The version of Tencent Linux installed on the remote TencentOS Server 4 host is prior to tested version. It is, therefore, affected by multiple vulnerabilities as referenced in the TSSA-2025:0151 advisory. Package updates are available for TencentOS Server 4 that fix the following vulnerabilities...

Locally Differentially Private Frequency Estimation Via Joint Randomized Response

Local Differential Privacy LDP has been widely recognized as a powerful tool for providing a strong theoretical guarantee of data privacy to data contributors against an untrusted data collector. Under a typical LDP scheme, each data contributor independently randomly perturbs their data before...

Optimal Piecewise-Based Mechanism for Collecting Bounded Numerical Data under Local Differential Privacy

Numerical data with bounded domains is a common data type in personal devices, such as wearable sensors. While the collection of such data is essential for third-party platforms, it raises significant privacy concerns. Local differential privacy LDP has been shown as a framework providing provabl...

CVE-2025-43863

vantage6 is an open source framework built to enable, manage and deploy privacy enhancing technologies like Federated Learning and Multi-Party Computation. If attacker gets access to an authenticated session, they can try to brute-force the user password by using the change password functionality...

Your Meta AI chats might be public, and it’s not a bug

Conversations that people are having with the Meta AI app are being exposed publicly, often without the users realizing it, revealing a variety of medical, legal, and private matters. The standalone app and the company's integrations with artificial intelligence AI across its platforms—Facebook,...

Computational Attestations of Polynomial Integrity Towards Verifiable Machine-Learning

Machine-learning systems continue to advance at a rapid pace, demonstrating remarkable utility in various fields and disciplines. As these systems continue to grow in size and complexity, a nascent industry is emerging which aims to bring machine-learning-as-a-service MLaaS to market. Outsourcing...

PYSEC-2025-221

vantage6 is an open-source infrastructure for privacy preserving analysis. The JWT secret key in the vantage6 server is auto-generated unless defined by the user. The auto-generated key is a UUID1, which is not cryptographically secure as it is predictable to some extent. This vulnerability is...

CVE-2025-43863

vantage6 contains a brute-force vulnerability in the change password flow when an attacker has an authenticated session. The issue arises from unlimited password-change attempts via the route, enabling password-guessing and account compromise. Multiple sources (CVEs, advisories, and vendor notes)...

US Tops List of Unsecured Cameras Exposing Homes and Offices

A BitSight report reveals over 40,000 internet-connected security cameras globally are exposed, streaming live footage without protection. Learn how common devices, from home cameras to factory surveillance, pose privacy and security risks and get simple tips to secure your own...

User Perceptions and Attitudes toward Untraceability in Messaging Platforms

Mainstream messaging platforms offer a variety of features designed to enhance user privacy, such as disappearing messages, password-protected chats, and end-to-end encryption E2EE, which primarily protect message contents. Beyond contents, the transmission of messages generates metadata that can...

TimberStrike: Dataset Reconstruction Attack Revealing Privacy Leakage in Federated Tree-Based Systems

Federated Learning has emerged as a privacy-oriented alternative to centralized Machine Learning, enabling collaborative model training without direct data sharing. While extensively studied for neural networks, the security and privacy implications of tree-based models remain underexplored. This...