GL-iNet GL-AR300M16 安全漏洞

GL-iNet GL-AR300M16 is a portable mini router produced by the Chinese company GL-iNet. The GL-iNet GL-AR300M16 v4.3.11 version contains a security vulnerability. This vulnerability stems from a command injection vulnerability in the setconfig function, which may allow for the execution of arbitra...

CVE-2026-32121 OpenEMR: Stored DOM XSS via `.html()` in Portal Signer Modal

OpenEMR is a free and open source electronic health records and medical practice management application. Prior to 8.0.0.1, Stored XSS in prescription CSS/HTML print view via patient demographics. That finding involves server-side rendering of patient names via raw PHP echo. This finding involves...

CVE-2026-32097

PingPong is a platform for using large language models LLMs for teaching and learning. Prior to 7.27.2, an authenticated user may be able to retrieve or delete files outside the intended authorization scope. This issue could result in retrieval or deletion of private files, including user-uploade...

EUVD-2026-11338

PingPong is a platform for using large language models LLMs for teaching and learning. Prior to 7.27.2, an authenticated user may be able to retrieve or delete files outside the intended authorization scope. This issue could result in retrieval or deletion of private files, including user-uploade...

CVE-2026-32097

PingPong, a platform for teaching/learning with LLMs, has a vulnerability prior to 7.27.2 where an authenticated user could retrieve or delete files outside the intended authorization scope. The issue allows retrieval of private files and deletion of files (including user uploads and model output...

DRUPAL-CONTRIB-2026-028

The module and certain submodules AI Automators, AI Translate, AI API Explorer, AI Content Suggestions provide the ability to use an LLM to generate HTML or Markdown and preview it in a browser. Under certain circumstances, rendering of this HTML can lead to exposing secret communications in the...

Important: Red Hat Security Advisory: RHTAS 1.3.2 - Tech Preview Release Of the Model Validation Operator

The Tech Preview release of the RHTAS Model Validation Operator. For more details please visit the product documentation at https://access.redhat.com/documentation/en-us/redhattrustedartifactsigner/1.3 The RHTAS Model Validation Operator can be used with OpenShift Container Platform 4.16, 4.17,...

Important: Red Hat Security Advisory: RHTAS 1.3.2 - Tech Preview Release of Model Transparency

The Tech Preview release of the RHTAS Model Transparency CLI image. For more details please visit the product documentation at https://access.redhat.com/documentation/en-us/redhattrustedartifactsigner/1.3 The RHTAS Model Transparency CLI image can be used to sign and verify AI/ML workloads...

CVE-2026-0489

Due to insufficient validation of user-controlled input in the URLs query parameter. SAP Business One Job Service could allow an unauthenticated attacker to inject specially crafted input which upon user interaction could result in a DOM-based Cross-Site Scripting XSS vulnerability. This issue ha...

firefox: thunderbird: Undefined behavior in the DOM: Core & HTML component

A flaw was found in Firefox and Thunderbird. The Mozilla Foundation's Security Advisory describes the following issue: Undefined behavior in the DOM: Core & HTML component...

firefox: thunderbird: Mitigation bypass in the DOM: HTML Parser component

A flaw was found in Firefox and Thunderbird. The Mozilla Foundation's Security Advisory describes the following issue: Mitigation bypass in the DOM: HTML Parser component...

firefox: thunderbird: Mitigation bypass in the DOM: Security component

A flaw was found in Firefox and Thunderbird. The Mozilla Foundation's Security Advisory describes the following issue: Mitigation bypass in the DOM: Security component...

firefox: thunderbird: Use-after-free in the DOM: Window and Location component

A flaw was found in Firefox and Thunderbird. The Mozilla Foundation's Security Advisory describes the following issue: Use-after-free in the DOM: Window and Location component...

PT-2026-24580

Name of the Vulnerable Software and Affected Versions MR-GM5L-S1 MR-GM5A-L1 Description An authentication bypass issue exists in MR-GM5L-S1 and MR-GM5A-L1, which may allow an attacker to bypass authentication and change the device configuration. Recommendations At the moment, there is no...

TOSSS: A CVE-Based Software Security Benchmark for Large Language Models

With their increasing capabilities, Large Language Models LLMs are now used across many industries. They have become useful tools for software engineers and support a wide range of development tasks. As LLMs are increasingly used in software development workflows, a critical question arises: are...

Systematic Scaling Analysis of Jailbreak Attacks in Large Language Models

Large language models remain vulnerable to jailbreak attacks, yet we still lack a systematic understanding of how jailbreak success scales with attacker effort across methods, model families, and harm types. We initiate a scaling-law framework for jailbreaks by treating each attack as a...

PT-2026-24739

OpenProject is an open-source, web-based project management software. Prior to 17.2.0, this vulnerability occurs due to improper validation of OpenProject’s Markdown rendering, specifically in the hyperlink handling. This allows an attacker to inject malicious hyperlink payloads that perform DOM...

AttriGuard: Defeating Indirect Prompt Injection in LLM Agents Via Causal Attribution of Tool Invocations

LLM agents are highly vulnerable to Indirect Prompt Injection IPI, where adversaries embed malicious directives in untrusted tool outputs to hijack execution. Most existing defenses treat IPI as an input-level semantic discrimination problem, which often fails to generalize to unseen payloads. We...

VisualLeakBench: Auditing the Fragility of Large Vision-Language Models against PII Leakage and Social Engineering

As Large Vision-Language Models LVLMs are increasingly deployed in agent-integrated workflows and other deployment-relevant settings, their robustness against semantic visual attacks remains under-evaluated -- alignment is typically tested on explicit harmful content rather than privacy-critical...

Incremental Federated Learning for Intrusion Detection in IoT Networks under Evolving Threat Landscape

The expansion of Internet of Things IoT devices has increased the attack surface of networks, necessitating a robust and adaptive intrusion detection systems. Machine learning based systems have been considered promising in enhancing the detection performance. Federated learning settings enabled ...