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...

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...

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...

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...

CVE-2026-46432: Improper Control of Generation of Code

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...

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...

The vulnerability of the Model.load_model() function in the Keras library allows a hacker to execute arbitrary code.

The vulnerability of the Model.loadmodel function in the Keras library is related to deficiencies in the deserialization mechanism. Exploiting this vulnerability could allow an attacker to execute arbitrary code...

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...