EUVD-2026-45595

In the Linux kernel, the following vulnerability has been resolved: gpio: aggregator: remove the software node when deactivating the aggregator The dynamic software node we create for the aggregator platform device when using configfs is leaked when the device is deactivated. Destroy it as the la...

CVE-2026-64022 gpio: aggregator: remove the software node when deactivating the aggregator

In the Linux kernel, the following vulnerability has been resolved: gpio: aggregator: remove the software node when deactivating the aggregator The dynamic software node we create for the aggregator platform device when using configfs is leaked when the device is deactivated. Destroy it as the la...

CVE-2026-64022

In the Linux kernel, the following vulnerability has been resolved: gpio: aggregator: remove the software node when deactivating the aggregator The dynamic software node we create for the aggregator platform device when using configfs is leaked when the device is deactivated. Destroy it as the la...

OESA-2026-3038 NetworkManager security update

NetworkManager attempts to keep an active network connection available at all times. The point of NetworkManager is to make networking configuration and setup as painless and automatic as possible. If using DHCP, NetworkManager is intended to replace default routes, obtain IP addresses from a DHC...

PT-2026-61339

Name of the Vulnerable Software and Affected Versions Linux kernel affected versions not specified Description A memory leak occurs in the gpio aggregator when using configfs. The dynamic software node created for the aggregator platform device is not properly removed during device deactivation...

CVE-2026-9147

uproot dynamically generates Python class source code from ROOT TStreamerInfo records in a file and compiles it at runtime. Some file-controlled streamer metadata fields for example, streamer element names are interpolated into the generated Python source without safe quoting via repr or the !r...

CVE-2026-9147 uproot 5.7.4 and prior Code Injection via TStreamerInfo Metadata

uproot dynamically generates Python class source code from ROOT TStreamerInfo records in a file and compiles it at runtime. Some file-controlled streamer metadata fields for example, streamer element names are interpolated into the generated Python source without safe quoting via repr or the !r...

CVE-2026-9147

uproot dynamically generates Python class source code from ROOT TStreamerInfo records in a file and compiles it at runtime. Some file-controlled streamer metadata fields for example, streamer element names are interpolated into the generated Python source without safe quoting via repr or the !r...

GO-2026-5958 SiYuan: Unauthenticated SQLite Data Exfiltration via Template Injection in /api/icon/getDynamicIcon in github.com/siyuan-note/siyuan/kernel

SiYuan: Unauthenticated SQLite Data Exfiltration via Template Injection in /api/icon/getDynamicIcon in github.com/siyuan-note/siyuan/kernel...

CVE-2026-9135 Policies Component Dynamic CodeInput Fields Bypass Custom Component Validation

IBM Langflow OSS 1.0.0 through 1.10.0 Langflow versions up to 1.9.2 commit 94981c443d4918517b9e8163d70fc598dc33a32d contain a code injection vulnerability in the Policies component's ToolGuard integration that bypasses the allowcustomcomponents=false security control. The vulnerability exists...

CVE-2026-9135

IBM Langflow OSS 1.0.0 through 1.10.0 Langflow versions up to 1.9.2 commit 94981c443d4918517b9e8163d70fc598dc33a32d contain a code injection vulnerability in the Policies component's ToolGuard integration that bypasses the allowcustomcomponents=false security control. The vulnerability exists...

EUVD-2026-45257

IBM Langflow OSS 1.0.0 through 1.10.0 Langflow versions up to 1.9.2 commit 94981c443d4918517b9e8163d70fc598dc33a32d contain a code injection vulnerability in the Policies component's ToolGuard integration that bypasses the allowcustomcomponents=false security control. The vulnerability exists...

CVE-2026-9135 Policies Component Dynamic CodeInput Fields Bypass Custom Component Validation

IBM Langflow OSS 1.0.0 through 1.10.0 Langflow versions up to 1.9.2 commit 94981c443d4918517b9e8163d70fc598dc33a32d contain a code injection vulnerability in the Policies component's ToolGuard integration that bypasses the allowcustomcomponents=false security control. The vulnerability exists...

CVE-2026-9135

CVE-2026-9135 affects IBM Langflow OSS versions 1.0.0–1.10.0. The vulnerability lies in the Policies component’s ToolGuard integration: validation only checks the main component code field (node_template["code"]["value"]) and does not validate dynamic CodeInput fields that store generated ToolGua...

CVE-2026-21770

HCL Traveler for Microsoft Outlook HTMO is susceptible to a DLL hijacking vulnerability which could allow an attacker to modify or replace the application with malicious content...

EUVD-2026-45141

HCL Traveler for Microsoft Outlook HTMO is susceptible to a DLL hijacking vulnerability which could allow an attacker to modify or replace the application with malicious content...

CVE-2026-21770 HCL Traveler for Microsoft Outlook (HTMO) is susceptible to DLL hijacking

HCL Traveler for Microsoft Outlook HTMO is susceptible to a DLL hijacking vulnerability which could allow an attacker to modify or replace the application with malicious content...

Fuzz'EMup: Leveraging EM Side-Channel Emanation to Guide Black-Box Embedded Firmware Fuzzing

As IoT and embedded devices proliferate across various domains, securing their firmware has become critical. Fuzzing offers a systematic approach to uncovering vulnerabilities in firmware, and coverage feedback can improve its effectiveness by guiding exploration. However, many devices make...

PT-2026-60713

HCL Traveler for Microsoft Outlook HTMO is susceptible to a DLL hijacking vulnerability which could allow an attacker to modify or replace the application with malicious content...

Revisiting Data-Driven Dynamic Security Assessment with a Tabular Foundation Model

Data-driven pre-fault dynamic security assessment DSA rapidly evaluates the dynamic risk of credible contingencies on a power system using machine learning. Existing approaches face two limitations. First, they require a large labelled database for training, with a separate model trained, tuned,...