Encrypted Neural Networks without Overflows

Fully homomorphic encryption FHE enables private inference by evaluating neural networks on encrypted data. In this way, we can delegate the computation to a third party server without ever revealing the user's data. Currently, the CKKS scheme is the backbone of most efficient FHE implementations...

F5 Networks BIG-IP : BIG-IP and BIG-IQ Configuration utility vulnerability (K000156761)

The version of F5 Networks BIG-IP installed on the remote host is prior to 17.1.3.1 / 17.5.1.4 / 21.0.0. It is, therefore, affected by a vulnerability as referenced in the K000156761 advisory. An authenticated remote code execution vulnerability through undisclosed vectors exists in the BIG-IP an...

F5 Networks BIG-IP : iControl REST and tmsh vulnerability (K000160863)

The version of F5 Networks BIG-IP installed on the remote host is prior to 17.1.3.2 / 17.5.1.6 / 21.0.0.2. It is, therefore, affected by a vulnerability as referenced in the K000160863 advisory. A vulnerability exists in iControl REST and the TMOS Shell tmsh where a highly privileged, authenticat...

F5 Networks BIG-IP : BIG-IP FastL4 virtual server vulnerability (K000160862)

The version of F5 Networks BIG-IP installed on the remote host is prior to 17.1.3.1 / 17.5.1.4 / 21.0.0.1. It is, therefore, affected by a vulnerability as referenced in the K000160862 advisory. When embedded Packet Velocity Acceleration ePVA acceleration is configured, undisclosed local ethernet...

F5 Networks BIG-IP : BIG-IP Configuration utility CSRF vulnerability (K35544022)

The version of F5 Networks BIG-IP installed on the remote host is prior to 17.1.3.1 / 17.5.1.4. It is, therefore, affected by a vulnerability as referenced in the K35544022 advisory. A cross-site request forgery CSRF vulnerability exists in the dashboard of the BIG-IP Configuration...

F5 Networks BIG-IP : BIG-IP and BIG-IQ privilege escalation vulnerability (K000160972)

The version of F5 Networks BIG-IP installed on the remote host is prior to 17.1.3.2 / 17.5.1.6 / 21.0.0.2. It is, therefore, affected by a vulnerability as referenced in the K000160972 advisory. A vulnerability exists in BIG-IP and BIG-IQ systems where a highly privileged, authenticated attacker...

F5 Networks BIG-IP : BIG-IP BFD vulnerability (K000150508)

The version of F5 Networks BIG-IP installed on the remote host is prior to 17.1.3 / 17.5.1. It is, therefore, affected by a vulnerability as referenced in the K000150508 advisory. When Bidirectional Forwarding Detection BFD is configured in Static and Dynamic routing protocols, undisclosed traffi...

F5 Networks BIG-IP : BIG-IP DNS Cache vulnerability (K000160945)

The version of F5 Networks BIG-IP installed on the remote host is prior to 17.1.3.2 / 17.5.1.6 / 21.0.0.1. It is, therefore, affected by a vulnerability as referenced in the K000160945 advisory. When a BIG-IP is configured with DNS caching such as a DNS profile with caching enabled, SSL...

F5 Networks BIG-IP : BIG-IP iControl SOAP vulnerability (K000160926)

The version of F5 Networks BIG-IP installed on the remote host is prior to 17.1.3.1 / 17.5.1.4 / 21.0.0.1. It is, therefore, affected by a vulnerability as referenced in the K000160926 advisory. An authenticated attacker with the Resource Administrator or Administrator role can create SNMP...

F5 Networks BIG-IP : iControl SOAP vulnerability (K000160973)

The version of F5 Networks BIG-IP installed on the remote host is prior to 17.1.3.2 / 17.5.1.6 / 21.0.0.2. It is, therefore, affected by a vulnerability as referenced in the K000160973 advisory. A vulnerability exists in iControl SOAP where an authenticated attacker with the Resource Administrato...

F5 Networks BIG-IP : Appliance mode iControl REST vulnerability (K000160911)

The version of F5 Networks BIG-IP installed on the remote host is prior to 17.1.3.2 / 17.5.1.6 / 21.0.0.2. It is, therefore, affected by a vulnerability as referenced in the K000160911 advisory. When running in Appliance mode, a directory traversal vulnerability exists in an undisclosed iControl...

Exploit for CVE-2026-0265

CVE-2026-0265 Vulnerability Assessment Tool Safely detect whe...

FreeBSD Security Advisory - FreeBSD-SA-26:23.bsdinstall

FreeBSD Security Advisory - When bsdinstall or bsdconfig are prompted to scan for nearby Wi-Fi networks, they build up a list of network names and use bsddialog1 to prompt the user to select a network. This is implemented using a shell script, and the code which handled network names was not...

GHSA-J3FJ-QPPJ-FMMC Mailpit has an incomplete fix for GHSA-6jxm: HTML check still permits SSRF to private/loopback/IMDS via missing IP-filter dialer

Summary The fix for GHSA-6jxm-fv7w-rw5j CVE-2026-23845, "Server-Side Request Forgery SSRF via HTML Check API", shipped in mailpit v1.28.3, hardened internal/htmlcheck/css.go::downloadCSSToBytes with a 5MB size cap, a text/css content-type check, login-info stripping in isValidURL, and an opt-in...

Nozomi Networks Guardian和Nozomi Networks CMC 跨站脚本漏洞

Nozomi Networks Guardian and Nozomi Networks CMC are both products of the American company Nozomi Networks. Nozomi Networks Guardian is an IoT device and software inspection system. Nozomi Networks CMC is an application software that provides centralized OT and IoT security management. Both Nozom...

Nozomi Networks CMC和Nozomi Networks Guardian 跨站脚本漏洞

Nozomi Networks CMC and Nozomi Networks Guardian are both products of Nozomi Networks, a company based in the United States. Nozomi Networks CMC is a network management platform. Nozomi Networks Guardian is a security software. Both Nozomi Networks CMC and Nozomi Networks Guardian have cross-site...

Nozomi Networks CMC和Nozomi Networks Guardian 安全漏洞

Nozomi Networks CMC and Nozomi Networks Guardian are both products of Nozomi Networks, a company based in the United States. Nozomi Networks CMC is a network management platform. Nozomi Networks Guardian is a security software. Both Nozomi Networks CMC and Nozomi Networks Guardian have security...

CVE-2026-45245

Summarize prior to 0.15.1 contains a vulnerability in the hover summary feature that allows malicious pages to dispatch synthetic mouseover events over attacker-controlled links, causing the extension to make authenticated daemon requests using stored tokens without verifying event trustworthines...

A No-Defense Defense against Gradient-Based Adversarial Attacks on ML-NIDS: Is Less More?

Gradient-based adversarial attacks subtly manipulate inputs of Machine Learning ML models to induce incorrect predictions. This paper investigates whether careful architectural choices alone can yield an inherently robust Deep Neural Network DNN-based Network Intrusion Detection Systems NIDS,...

From Detection to Response: A Deep Learning and Retrieval-Augmented Generation Framework for Network Intrusion Mitigation

Machine-learning-based Intrusion Detection Systems IDS have achieved impressive accuracy in classifying network attacks, yet they consistently fall short on the question that matters most to a security analyst: what should I do next? This paper presents a unified, end-to-end framework that closes...