CVE-2026-8013

Insufficient validation of untrusted input in FedCM in Google Chrome prior to 148.0.7778.96 allowed a remote attacker to leak cross-origin data via a crafted HTML page. Chromium security severity: Low...

AoI-Guided Client Selection for Robust and Timely Federated Intrusion Detection in Cloud-Edge Security Analytics

Federated learning FL is attractive for cloud-edge intrusion detection because it enables collaborative training over distributed telemetry without centralizing raw logs. In production security analytics pipelines, however, only a subset of clients participates in each round, and heterogeneous...

PT-2026-38206

Name of the Vulnerable Software and Affected Versions Google Chrome versions prior to 148.0.7778.96 Description Insufficient validation of untrusted input in FedCM Federated Credential Management, an API that allows users to sign into websites using credentials from a third-party identity provide...

Google Chrome 输入验证错误漏洞

Google Chrome is a web browser developed by Google Inc. Versions of Google Chrome prior to 148.0.7778.96 had a vulnerability related to input validation. This vulnerability stemmed from insufficient trust-based input validation by FedCM, which could allow remote attackers to exploit the system by...

A Comparative Analysis of Machine Learning Models for Intrusion Detection in Intelligent Transport Systems

AI-powered edge computing security is moving Intelligent Transportation Systems ITS from passive, rule-based protections to proactive, smart, zero-touch, self-sufficient safeguards that neutralize threats in milliseconds. As transportation becomes more connected with edge computing, massive IoT,...

NVIDIA FLARE SDK 输入验证错误漏洞

NVIDIA FLARE SDK is a federal learning application development toolkit provided by NVIDIA Corporation in the United States. The NVIDIA Flare SDK has a vulnerability related to input validation errors. This vulnerability stems from path traversal, which leads to improper input validation,...

Scalable and Verifiable Federated Learning for Cross-Institution Financial Fraud Detection

The global financial ecosystem confronts a critical asymmetry: while fraud syndicates operate as borderless, distributed networks, banking institutions remain constrained by regulatory data silos, limiting visibility into cross-institutional threat patterns under strict privacy laws such as GDPR...

IBM DB2 Federated Server DoS (7269435) (Unix)

According to its self-reported version number, IBM Db2 is affected by a denial of service vulnerability: - IBM Db2 for Linux, UNIX and Windows includes DB2 Connect Server could allow an authenticated user to cause a denial of service due to improper neutralization of special elements in the data...

DP-FlogTinyLLM: Differentially Private Federated Log Anomaly Detection Using Tiny LLMs

Modern distributed systems generate massive volumes of log data that are critical for detecting anomalies and cyber threats. However, in real world settings, these logs are often distributed across multiple organizations and cannot be centralized due to privacy and security constraints. Existing...

Security Bulletin: IBM® Db2® Federated server is vulnerable to a denial of service with a specially crafted query in a Fenced environment (CVE-2026-3676)

Summary IBM® Db2® Federated server is vulnerable to a denial of service with a specially crafted query in a Fenced environment CVE-2026-3676 Vulnerability Details CVEID:CVE-2026-3676 DESCRIPTION: IBM Db2 for Linux, UNIX and Windows includes DB2 Connect Server could allow an authenticated user to...

Evaluating Differential Privacy against Membership Inference in Federated Learning: Insights from the NIST Genomics Red Team Challenge

While Federated Learning FL mitigates direct data exposure, the resulting trained models remain susceptible to membership inference attacks MIAs. This paper presents an empirical evaluation of Differential Privacy DP as a defense mechanism against MIAs in FL, leveraging the environment of the 202...

CVE-2026-34148 Fedify affected by resource exhaustion caused by unbounded redirect following during remote key/document resolution

Fedify is a TypeScript library for building federated server apps powered by ActivityPub. Prior to 1.9.6, 1.10.5, 2.0.8, and 2.1.1, @fedify/fedify follows HTTP redirects recursively in its remote document loader and authenticated document loader without enforcing a maximum redirect count or...

Digital Privacy in IoT: Exploring Challenges, Approaches and Open Issues

Privacy has always been a critical issue in the digital era, particularly with the increasing use of Internet of Things IoT devices. As the IoT continues to transform industries such as healthcare, smart cities, and home automation, it has also introduced serious challenges regarding the security...

Deserialization of Untrusted Data

Overview fedml is an A research and production integrated edge-cloud library for federated/distributed machine learning at anywhere at any scale. Affected versions of this package are vulnerable to Deserialization of Untrusted Data via the sendMessage function in grpcserver.py. An attacker can...

FEDML 路径遍历漏洞

FEDML is a unified and scalable machine learning training and deployment library open sourced by TensorOpera. Versions of FEDML 0.8.9 and earlier contained a path traversal vulnerability. This vulnerability stemmed from incorrect handling of the parameter dataSet, which could lead to path travers...

The vulnerability of the FedCM component in the Google Chrome browser allows a hacker to execute arbitrary code.

The vulnerability of the FedCM component’s Google Chrome browser component is related to the use of memory after deallocation. Exploiting this vulnerability could allow a remote attacker to execute arbitrary code using a specially created HTML page...

CVE-2026-33879

Federated Learning and Interoperability Platform FLIP is an open-source platform for federated training and evaluation of medical imaging AI models across healthcare institutions. The FLIP login page in versions 0.1.1 and prior has no rate limiting or CAPTCHA, enabling brute-force and...

CVE-2026-33879

Federated Learning and Interoperability Platform FLIP is an open-source platform for federated training and evaluation of medical imaging AI models across healthcare institutions. The FLIP login page in versions 0.1.1 and prior has no rate limiting or CAPTCHA, enabling brute-force and...

CVE-2026-33879

Federated Learning and Interoperability Platform FLIP is an open-source platform for federated training and evaluation of medical imaging AI models across healthcare institutions. The FLIP login page in versions 0.1.1 and prior has no rate limiting or CAPTCHA, enabling brute-force and...

CVE-2026-33879 FLIP doesn't have rate limiting or brute-force protection on login

Federated Learning and Interoperability Platform FLIP is an open-source platform for federated training and evaluation of medical imaging AI models across healthcare institutions. The FLIP login page in versions 0.1.1 and prior has no rate limiting or CAPTCHA, enabling brute-force and...