CVE-2026-2430

The Autoptimize plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the lazy-loading image processing in all versions up to, and including, 3.1.14. This is due to the use of an overly permissive regular expression in the addlazyload function that replaces all occurrences of \ssr...

CVE-2026-2430

The CVE concerns the Autoptimize WordPress plugin. All versions up to 3.1.14 are affected by a stored XSS via the lazy-loading image processing due to an overly permissive regex in add_lazyload that replaces every occurrence of \ssrc= in image tags without scoping to the actual attribute. This en...

CVE-2026-2352

The Autoptimize plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the 'aopostpreload' meta value in all versions up to, and including, 3.1.14. This is due to insufficient input sanitization in the aometaboxsave function and missing output escaping when the value is rendered in...

CVE-2026-2352 Autoptimize <= 3.1.14 - Authenticated (Contributor+) Stored Cross-Site Scripting via 'ao_post_preload' Meta Value

The Autoptimize plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the 'aopostpreload' meta value in all versions up to, and including, 3.1.14. This is due to insufficient input sanitization in the aometaboxsave function and missing output escaping when the value is rendered in...

CVE-2026-2352 Autoptimize <= 3.1.14 - Authenticated (Contributor+) Stored Cross-Site Scripting via 'ao_post_preload' Meta Value

The Autoptimize plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the 'aopostpreload' meta value in all versions up to, and including, 3.1.14. This is due to insufficient input sanitization in the aometaboxsave function and missing output escaping when the value is rendered in...

CVE-2026-2352

The Autoptimize WordPress plugin (affected: all versions up to 3.1.14) is vulnerable to Stored Cross-Site Scripting via the ao_post_preload meta value. The root cause is insufficient input sanitization in ao_metabox_save() and missing output escaping when rendering the value into a tag in autopt...

GHSA-6QH5-M6G3-XHQ6 Parse Server LiveQuery subscription query depth bypass

Impact Parse Server's LiveQuery component does not enforce the requestComplexity.queryDepth configuration setting when processing WebSocket subscription requests. An attacker can send a subscription with deeply nested logical operators, causing excessive recursion and CPU consumption that degrade...

CVE-2026-32887 Effect Bug: `AsyncLocalStorage` context lost/contaminated inside Effect fibers under concurrent load with RPC

Effect is a TypeScript framework that consists of several packages that work together to help build TypeScript applications. Prior to version 3.20.0, when using RpcServer.toWebHandler or HttpApp.toWebHandlerRuntime inside a Next.js App Router route handler, any Node.js AsyncLocalStorage-dependent...

Effect `AsyncLocalStorage` context lost/contaminated inside Effect fibers under concurrent load with RPC

Versions - effect: 3.19.15 - @effect/rpc: 0.72.1 - @effect/platform: 0.94.2 - Node.js: v22.20.0 - Vercel runtime with Fluid compute - Next.js: 16 App Router - @clerk/nextjs: 6.x Root cause Effect's MixedScheduler batches fiber continuations and drains them inside a single microtask or timer...

EUVD-2026-13818

Effect AsyncLocalStorage context lost/contaminated inside Effect fibers under concurrent load with RPC...

CVE-2026-32949

SQLBot is an intelligent data query system based on a large language model and RAG. Versions prior to 1.7.0 contain a Server-Side Request Forgery SSRF vulnerability that allows an attacker to retrieve arbitrary system and application files from the server. An attacker can exploit the...

SUSE CVE-2026-28500

Open Neural Network Exchange ONNX is an open standard for machine learning interoperability. In versions up to and including 1.20.1, a security control bypass exists in onnx.hub.load due to improper logic in the repository trust verification mechanism. While the function is designed to warn users...

PT-2026-26713

The Autoptimize plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the lazy-loading image processing in all versions up to, and including, 3.1.14. This is due to the use of an overly permissive regular expression in the add lazyload function that replaces all occurrences of ssr...

WeGIA SQL注入漏洞

WeGIA is a network manager for welfare institutions developed by Nilson Lazarin as an individual project. Versions 3.6.5 and 3.6.6 of WeGIA contain SQL injection vulnerabilities. These vulnerabilities stem from a lack of content validation during the loading of SQL files by the loadBackupDB...

PT-2026-26711

The Autoptimize plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the 'ao post preload' meta value in all versions up to, and including, 3.1.14. This is due to insufficient input sanitization in the ao metabox save function and missing output escaping when the value is rendere...

GHSA-Q485-CG9Q-XQ2R Improper Authentication and Origin Validation Error in pyload-ng

Summary A Host Header Spoofing vulnerability in the @localcheck decorator allows unauthenticated external attackers to bypass local-only restrictions. This grants access to the Click'N'Load API endpoints, enabling attackers to remotely queue arbitrary downloads, leading to Server-Side Request...

fs: ntfs3: fix infinite loop in attr_load_runs_range on inconsistent metadata

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SUSE CVE-2025-71265

In the Linux kernel, the following vulnerability has been resolved: fs: ntfs3: fix infinite loop in attrloadrunsrange on inconsistent metadata We found an infinite loop bug in the ntfs3 file system that can lead to a Denial-of-Service DoS condition. A malformed NTFS image can cause an infinite lo...

PT-2026-26484

Name of the Vulnerable Software and Affected Versions NiceGUI versions prior to 3.9.0 Description NiceGUI’s app.add media file and app.add media files functions are susceptible to a flaw where a user-controlled query parameter, passed to the range-response implementation without validation, can...

CVE-2026-28500

A flaw was found in Open Neural Network Exchange ONNX, an open standard for machine learning interoperability. A security control bypass exists in the onnx.hub.load function due to improper logic in its repository trust verification. An attacker can exploit this by providing a malicious model,...