CVE-2026-48250

Adobe Experience Manager versions 6.5.24, LTS SP1, 2026.04 and earlier are affected by a DOM-based Cross-Site Scripting XSS vulnerability. An attacker could exploit this issue by manipulating the DOM environment to execute malicious JavaScript within the context of the victim's browser...

CVE-2026-47983

Adobe Experience Manager versions 6.5.24, LTS SP1, 2026.04 and earlier are affected by a DOM-based Cross-Site Scripting XSS vulnerability. An attacker could exploit this issue by manipulating the DOM environment to execute malicious JavaScript within the context of the victim's browser...

CVE-2026-47935

Adobe Experience Manager versions 6.5.24, LTS SP1, 2026.04 and earlier are affected by a DOM-based Cross-Site Scripting XSS vulnerability. An attacker could exploit this issue by manipulating the DOM environment to execute malicious JavaScript within the context of the victim's browser...

CVE-2026-34692

Adobe Experience Manager versions 6.5.24, LTS SP1, 2026.04 and earlier are affected by a DOM-based Cross-Site Scripting XSS vulnerability. An attacker could exploit this issue by manipulating the DOM environment to execute malicious JavaScript within the context of the victim's browser...

Important: Red Hat Security Advisory: Red Hat AI Inference Server Model Optimization Tools 3.2.2 (cuda)

Red Hat AI Inference Server Model Optimization Tools 3.2.2 cuda is now available. Red Hat® AI Inference Server Model Optimization Tools...

GHSA-3WW4-5JV9-J5GM vLLM's Artifact Pin Decay allows pinned deployments to load unpinned code, weights, and processors

Summary vLLM's revision pinning controls do not consistently apply to all artifacts loaded for a model. A deployment that supplies --revision or --code-revision can still load dynamic code, GGUF files, image processors, retrieval side weights, or same-repository subfolder weights/config from an...

Use of Incorrectly-Resolved Name or Reference

Overview vllm is an A high-throughput and memory-efficient inference and serving engine for LLMs Affected versions of this package are vulnerable to Use of Incorrectly-Resolved Name or Reference through several model loading paths. An attacker can make the server load a different Hugging Face...

MINI-RC54-65RG-PXP9

Bulletin has no description...

MINI-H824-8MHF-M29R

Bulletin has no description...

MINI-GP28-34HR-7976

Bulletin has no description...

firefox: thunderbird: Use-after-free in the DOM: Networking 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: Networking component...

firefox: thunderbird: Use-after-free in the DOM: Networking 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: Networking component...

Arbitrary Code Injection

Overview Affected versions of this package are vulnerable to Arbitrary Code Injection via the model initialization process when trustremotecode=True is hardcoded in multiple HuggingFace model-loading call sites. An attacker can execute arbitrary code by supplying a malicious model repository...

CVE-2026-46432

LMDeploy is a toolkit for compressing, deploying, and serving large language models. In versions 0.12.3 and prior, LMDeploy is vulnerable to arbitrary code execution through hardcoded "trustremotecode=True" in multiple HuggingFace model-loading call sites. At time of publication, there are no...

PT-2026-48537

Name of the Vulnerable Software and Affected Versions vLLM versions prior to 0.22.0 Description vLLM is an inference and serving engine for large language models. The software contains a supply-chain integrity issue where revision pinning controls are not consistently applied to all artifacts...

SQLAlchemy Admin 安全漏洞

SQLAlchemy Admin is an open-source SQLAlchemy model management interface tool developed by Smithy HQ. Versions of SQLAlchemy Admin prior to 0.25.1 contained a security vulnerability. This vulnerability stemmed from the ajaxlookup endpoint in the application.py file, which bypassed the isaccessibl...

Mind Your Key: An Empirical Study of LLM API Credential Leakage in IOS Apps

The rapid integration of large language models LLMs into mobile applications has introduced a new class of credential security risk: leaked credentials that grant unauthorized access to LLM inference services, causing financial damage to developers. Prior work on credential leakage has focused...

lmdeploy 代码注入漏洞

lmdeploy is a toolkit developed by InternLM for compressing, deploying, and serving LLMs. Versions of lmdeploy prior to 0.12.3 have a code injection vulnerability. This vulnerability stems from the hardcoding of trustremotecode=True at multiple HuggingFace model loading points, which may allow...

Smarter Saboteurs, Better Fixers: Scaling and Security in Linear Multi-Agent Workflows

As LLM-based multi-agent systems MAS are deployed in the wild, the resilience of their collaboration structures against adversarial compromise becomes a critical safety concern. Attackers may leverage prompt-injection or jailbreaking to sabotage individual agents within MAS workflows, but the...

CVE-2026-46432 LMDeploy: Arbitrary code execution via hardcoded trust_remote_code=True in lmdeploy model initialization

LMDeploy is a toolkit for compressing, deploying, and serving large language models. In versions 0.12.3 and prior, LMDeploy is vulnerable to arbitrary code execution through hardcoded "trustremotecode=True" in multiple HuggingFace model-loading call sites. At time of publication, there are no...