CVE-2025-49005 Next.js cache poisoning due to omission of Vary header

Next.js is a React framework for building full-stack web applications. In Next.js App Router from 15.3.0 to before 15.3.3 and Vercel CLI from 41.4.1 to 42.2.0, a cache poisoning vulnerability was found. The issue allowed page requests for HTML content to return a React Server Component RSC payloa...

CVE-2025-49005 Next.js cache poisoning due to omission of Vary header

Next.js is a React framework for building full-stack web applications. In Next.js App Router from 15.3.0 to before 15.3.3 and Vercel CLI from 41.4.1 to 42.2.0, a cache poisoning vulnerability was found. The issue allowed page requests for HTML content to return a React Server Component RSC payloa...

CVE-2025-49005

Next.js CVE-2025-49005 affects Next.js App Router (versions 15.3.0 to before 15.3.3) and Vercel CLI (41.4.1 to 42.2.0). A cache poisoning vulnerability could cause HTML requests to return a React Server Component payload under certain conditions. When deployed on Vercel, impact is limited to the ...

Next.js has a Cache poisoning vulnerability due to omission of the Vary header

Summary A cache poisoning issue in Next.js App Router =15.3.0 and 15.3.3 may have allowed RSC payloads to be cached and served in place of HTML, under specific conditions involving middleware and redirects. This issue has been fixed in Next.js 15.3.3. Users on affected versions should upgrade...

GHSA-R2FC-CCR8-96C4 Next.js has a Cache poisoning vulnerability due to omission of the Vary header

Summary A cache poisoning issue in Next.js App Router =15.3.0 and 15.3.3 may have allowed RSC payloads to be cached and served in place of HTML, under specific conditions involving middleware and redirects. This issue has been fixed in Next.js 15.3.3. Users on affected versions should upgrade...

PT-2025-27835

Name of the Vulnerable Software and Affected Versions: Next.js versions 15.3.0 through 15.3.2 Vercel CLI versions 41.4.1 through 42.1.0 Description: A cache poisoning issue was found in Next.js App Router and Vercel CLI, allowing page requests for HTML content to return a React Server Component R...

PT-2025-27836 · Next.Js · Next.Js

Name of the Vulnerable Software and Affected Versions: Next.js versions 15.0.4-canary.51 through 15.1.7 Description: Next.js is susceptible to a cache poisoning issue that can lead to a Denial of Service DoS condition. This flaw allows attackers to manipulate the caching of HTTP responses,...

Malicious code in prototype-poisoning-package (npm)

The package communicates with a domain associated with malicious activity. --- -= Per source details. Do not edit below this line.=- Source: ghsa-malware fb7e50b04c4ffcf207fdb21b54873ca1488fe7dd526b90c1206bc830af9b111b Any computer that has this package installed or running should be considered...

MAL-2025-5298 Malicious code in prototype-poisoning-package (npm)

The package communicates with a domain associated with malicious activity. --- -= Per source details. Do not edit below this line.=- Source: ghsa-malware fb7e50b04c4ffcf207fdb21b54873ca1488fe7dd526b90c1206bc830af9b111b Any computer that has this package installed or running should be considered...

Adversarial Threats in Quantum Machine Learning: a Survey of Attacks and Defenses

Quantum Machine Learning QML integrates quantum computing with classical machine learning, primarily to solve classification, regression and generative tasks. However, its rapid development raises critical security challenges in the Noisy Intermediate-Scale Quantum NISQ era. This chapter examines...

On the Feasibility of Poisoning Text-To-Image AI Models Via Adversarial Mislabeling

Today's text-to-image generative models are trained on millions of images sourced from the Internet, each paired with a detailed caption produced by Vision-Language Models VLMs. This part of the training pipeline is critical for supplying the models with large volumes of high-quality image-captio...

Client Clustering Meets Knowledge Sharing: Enhancing Privacy and Robustness in Personalized Peer-To-Peer Learning

The growing adoption of Artificial Intelligence AI in Internet of Things IoT ecosystems has intensified the need for personalized learning methods that can operate efficiently and privately across heterogeneous, resource-constrained devices. However, enabling effective personalized learning in...

Debian dla-4228 : libnginx-mod-http-auth-pam - security update

The remote Debian 11 host has packages installed that are affected by multiple vulnerabilities as referenced in the dla-4228 advisory. - ------------------------------------------------------------------------- Debian LTS Advisory DLA-4228-1 [email protected]...

CVE-2025-52560 Kanboard Password Reset Poisoning via Host Header Injection

Kanboard is project management software that focuses on the Kanban methodology. Prior to version 1.2.46, Kanboard allows password reset emails to be sent with URLs derived from the unvalidated Host header when the applicationurl configuration is unset default behavior. This allows an attacker to...

RepuNet: a Reputation System for Mitigating Malicious Clients in DFL

Decentralized Federated Learning DFL enables nodes to collaboratively train models without a central server, introducing new vulnerabilities since each node independently selects peers for model aggregation. Malicious nodes may exploit this autonomy by sending corrupted models model poisoning,...

Generalization under Byzantine and Poisoning Attacks: Tight Stability Bounds in Robust Distributed Learning

Whitepaper called Generalization Under Byzantine and Poisoning Attacks: Tight Stability Bounds In Robust Distributed Learning...

Quantum Machine Learning

The meteoric rise of artificial intelligence in recent years has seen machine learning methods become ubiquitous in modern science, technology, and industry. Concurrently, the emergence of programmable quantum computers, coupled with the expectation that large-scale fault-tolerant machines will...

Winter Soldier: Backdooring Language Models at Pre-Training with Indirect Data Poisoning

The pre-training of large language models LLMs relies on massive text datasets sourced from diverse and difficult-to-curate origins. Although membership inference attacks and hidden canaries have been explored to trace data usage, such methods rely on memorization of training data, which LM...

Unlearning-Enhanced Website Fingerprinting Attack: against Backdoor Poisoning in Anonymous Networks

Website Fingerprinting WF is an effective tool for regulating and governing the dark web. However, its performance can be significantly degraded by backdoor poisoning attacks in practical deployments. This paper aims to address the problem of hidden backdoor poisoning attacks faced by Website...

Model Context Protocol (MCP) at First Glance: Studying the Security and Maintainability of MCP Servers

Although Foundation Models FMs, such as GPT-4, are increasingly used in domains like finance and software engineering, reliance on textual interfaces limits these models' real-world interaction. To address this, FM providers introduced tool calling-triggering a proliferation of frameworks with...