EUVD-2025-210115

A privacy issue was addressed by removing the vulnerable code. This issue is fixed in macOS Sequoia 15.4. An app may be able to access sensitive user data...

CVE-2025-30459

A privacy issue was addressed by removing the vulnerable code. This issue is fixed in macOS Sequoia 15.4. An app may be able to access sensitive user data...

Malicious code in self-certificate (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector ab587fcd5a0b45e17454fc742007b8b597a0aec49b443d8a5a087ba910ea4a40 The package presents itself as a self-signed certificate generator, but its public generateCertificates API path loads sample/cert.pem, strips the...

CVE-2026-53675

BuddyPress 14.4.0 contains an insecure direct object reference vulnerability in the friends REST API that allows any authenticated attacker to enumerate another user's complete friend list. Attackers can query the friends endpoint with an arbitrary userid because the getitemspermissionscheck meth...

Apple macOS Sequoia 信息泄露漏洞

Apple macOS is a proprietary operating system developed by the American company Apple for Mac computers. Versions of Apple macOS Sequoia 15.4 had a security vulnerability that stemmed from privacy concerns, potentially allowing applications to access sensitive user data...

Уязвимость функции конфиденциальности Fenced Frames браузеров Microsoft Edge и Google Chrome, позволяющая нарушителю обойти существующие механизмы безопасности

Уязвимость функции конфиденциальности Fenced Frames браузеров Microsoft Edge и Google Chrome связана с недостатком в механизме подтверждения источника. Эксплуатация уязвимости может позволить нарушителю, действующему удалённо, обойти существующие механизмы безопасности...

OPENSUSE-SU-2026:20937-1 Security update for python-Django

This update for python-Django fixes the following issues: Changes in python-Django: - CVE-2026-6873: Signed cookie salt namespace collision bsc1267578 - CVE-2026-7666: Potential unencrypted email transmission via STARTTLS in the SMTP backend bsc1267579 - CVE-2026-8404: Potential exposure of priva...

Mapping Every Flock License Plate Reader Near US World Cup Stadiums

Most US World Cup stadiums are surrounded by surveillance cameras. Want to know if you’re being watched on your way to a match? These maps will help you...

EUVD-2026-35879

BuddyPress 14.4.0 contains an insecure direct object reference vulnerability in the friends REST API that allows any authenticated attacker to enumerate another user's complete friend list. Attackers can query the friends endpoint with an arbitrary userid because the getitemspermissionscheck meth...

CVE-2026-53675

BuddyPress 14.4.0 contains an insecure direct object reference vulnerability in the friends REST API that allows any authenticated attacker to enumerate another user's complete friend list. Attackers can query the friends endpoint with an arbitrary userid because the getitemspermissionscheck meth...

Bridging the Smart City Cybersecurity Data Gap through AI-Driven Synthetic Dataset Generation

Smart cities rely on interconnected cyber-physical systems that integrate sensors, IoT devices, cloud platforms, and AI-driven services and decision-making. While these systems enhance city services, they also introduce complex cybersecurity challenges due to their large attack surfaces,...

SwarmSense-DNN: A Trustworthy and Decentralized Neural Framework for Proactive Anomaly Defense in Consumer IoT

The rapid growth of consumer IoT devices has introduced unprecedented challenges in trustworthy anomaly detection against AI-enabled cyber threats, requiring real-time, privacy-preserving, and scalable defense mechanisms. Traditional centralized strategies face critical limitations, including...

MAL-2026-5451 Malicious code in privacy-sdk (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 5c92b5d6dae289f8667ca24f2a941473b65e560f6937874f68ff26ed24d58969 [email protected] is a hollow wrapper index.js is module.exports = , blank description, blank author whose sole runtime dependency is declared as a...

Meta’s face-recognition code raises new concerns about smart glasses

Meta’s smart glasses are once again at the center of a privacy debate due to face recognition. WIRED reports that Meta had quietly embedded unreleased face-recognition code, internally called “NameTag,” into its Meta AI companion app, which powers the company’s smart glasses. The code was not...

wisp

Wisp — the open-source Ghost alternative, built in Elixir & Ph...

Certification of Network Quantum Sensing

The distribution of quantum sensors on quantum networks is a key enabler of quantum technologies in interferometry, gravimetry, timekeeping, biological monitoring, and beyond. Yet, guaranteeing the security of these distributed sensors over noisy, insecure networks remains a formidable challenge...

PT-2026-47531

Under certain conditions, when an unauthorized attacker accesses a specific endpoint, SAP Business Objects application leaks sensitive information .This has a low impact on the confidentiality of the data. There is no impact on integrity and availability of the application...

EUVD-2026-35201

Fides is an open-source privacy engineering platform. From version 2.33.0 to before version 2.84.5, there is a DOM-based XSS vulnerability in fides.js via the fidesdescription override. This issue has been patched in version 2.84.5...

Secrets Best Not Shared: DNS Privacy Enhancements for the Constrained IoT

Attackers often identify DNS traffic to disrupt or compromise Internet services. While prior work has focused on encrypting queries using DNS over TLS, HTTPS, or QUIC to counter such attacks, we consider IETF protocols designed for resource-constrained IoT devices and empirically analyze the...

Unveiling Privacy Risks in Multi-Modal Large Language Models: Task-Specific Vulnerabilities and Mitigation Challenges

Privacy risks in text-only Large Language Models LLMs are well studied, particularly their tendency to memorize and leak sensitive information. However, Multi-modal Large Language Models MLLMs, which process both text and images, introduce unique privacy challenges that remain underexplored...