CVE-2026-33990

Docker Model Runner DMR is software used to manage, run, and deploy AI models using Docker. Prior to version 1.1.25, Docker Model Runner contains an SSRF vulnerability in its OCI registry token exchange flow. When pulling a model, Model Runner follows the realm URL from the registry's...

CVE-2026-34163

FastGPT is an AI Agent building platform. Prior to version 4.14.9.5, FastGPT's MCP Model Context Protocol tools endpoints /api/core/app/mcpTools/getTools and /api/core/app/mcpTools/runTool accept a user-supplied URL parameter and make server-side HTTP requests to it without validating whether the...

CVE-2026-34159

The CVE-2026-34159 entry for llama.cpp describes an unauthenticated RCE via the RPC backend: prior to v.b8492, deserialize_tensor() omits bounds validation when tensor.buffer == 0, enabling an attacker to read/write arbitrary process memory through crafted GRAPH_COMPUTE messages. Combined with AL...

CVE-2026-33990 Docker Model Runner OCI Registry Client Vulnerable to Server-Side Request Forgery (SSRF)

Docker Model Runner DMR is software used to manage, run, and deploy AI models using Docker. Prior to version 1.1.25, Docker Model Runner contains an SSRF vulnerability in its OCI registry token exchange flow. When pulling a model, Model Runner follows the realm URL from the registry's...

EUVD-2026-17963

Docker Model Runner DMR is software used to manage, run, and deploy AI models using Docker. Prior to version 1.1.25, Docker Model Runner contains an SSRF vulnerability in its OCI registry token exchange flow. When pulling a model, Model Runner follows the realm URL from the registry's...

CVE-2026-33990

Docker Model Runner DMR is software used to manage, run, and deploy AI models using Docker. Prior to version 1.1.25, Docker Model Runner contains an SSRF vulnerability in its OCI registry token exchange flow. When pulling a model, Model Runner follows the realm URL from the registry's...

CVE-2026-33990

Docker Model Runner (DMR) is affected by an SSRF in the OCI registry token exchange flow prior to version 1.1.25. When pulling a model, DMR uses the realm URL from the registry’s WWW-Authenticate header without validating the scheme, hostname, or IP range, allowing a malicious OCI registry to dir...

CVE-2026-33990 Docker Model Runner OCI Registry Client Vulnerable to Server-Side Request Forgery (SSRF)

Docker Model Runner DMR is software used to manage, run, and deploy AI models using Docker. Prior to version 1.1.25, Docker Model Runner contains an SSRF vulnerability in its OCI registry token exchange flow. When pulling a model, Model Runner follows the realm URL from the registry's...

CVE-2026-33990 Docker Model Runner OCI Registry Client Vulnerable to Server-Side Request Forgery (SSRF)

Docker Model Runner DMR is software used to manage, run, and deploy AI models using Docker. Prior to version 1.1.25, Docker Model Runner contains an SSRF vulnerability in its OCI registry token exchange flow. When pulling a model, Model Runner follows the realm URL from the registry's...

CVE-2026-25601 Credential Exposure vulnerability in MEPIS RM

A vulnerability was identified in MEPIS RM, an industrial software product developed by Metronik. The application contained a hardcoded cryptographic key within the Mx.Web.ComponentModel.dll component. When the option to store domain passwords was enabled, this key was used to encrypt user...

firefox: thunderbird: Sandbox escape due to incorrect boundary conditions, integer overflow in the XPCOM component

A flaw was found in Firefox and Thunderbird. The Mozilla Foundation's Security Advisory describes the following issue: Sandbox escape due to incorrect boundary conditions, integer overflow in the XPCOM component...

Directory Traversal

Overview onnxruntime is a performance-focused scoring engine for Open Neural Network Exchange ONNX models. Affected versions of this package are vulnerable to Directory Traversal due to insufficient validation of external TensorProto data paths. The external data loading path validation did not...

CVE-2026-30310

In its design for automatic terminal command execution, Sixth offers two options: Execute safe commands and Execute all commands. The description for the former states that commands determined by the model to be safe will be automatically executed, whereas if the model judges a command to be...

CVE-2026-5176

A security flaw has been discovered in Totolink A3300R 17.0.0cu.557b20221024. Affected is the function setSyslogCfg of the file /cgi-bin/cstecgi.cgi. Performing a manipulation of the argument provided results in command injection. The attack may be initiated remotely. The exploit has been release...

MINI-75W6-MRR6-898P

Bulletin has no description...

XML Injection

Overview xmldom is an A pure JavaScript W3C standard-based XML DOM Level 2 Core DOMParser and XMLSerializer module. Affected versions of this package are vulnerable to XML Injection via the XMLSerializer function. An attacker can manipulate the structure and integrity of generated XML documents b...

Arbitrary Code Injection

Overview Affected versions of this package are vulnerable to Arbitrary Code Injection through the escapeNodeAttributeValues process. An attacker can execute arbitrary operating system commands by crafting a malicious .sy.zip file containing specially formatted block attribute values, which, when...

TorchGeo Remote Code Execution Vulnerability

Impact TorchGeo 0.4–0.6.0 used an eval statement in its model weight API that could allow an unauthenticated, remote attacker to execute arbitrary commands. All platforms that expose torchgeo.models.getweight or torchgeo.trainers as an external API could be affected. Patches The eval statement wa...

PT-2026-29577

Name of the Vulnerable Software and Affected Versions ONNX versions prior to 1.21.0 Description The ExternalDataInfo class in ONNX used Python’s setattr function to load metadata from ONNX model files without validating the keys. This allowed an attacker to craft a malicious model that could...

When Safe Models Merge into Danger: Exploiting Latent Vulnerabilities in LLM Fusion

Model merging has emerged as a powerful technique for combining specialized capabilities from multiple fine-tuned LLMs without additional training costs. However, the security implications of this widely-adopted practice remain critically underexplored. In this work, we reveal that model merging...