gordo-components (>=0.44.0, <=0.46.0) potentially affected by CVE-2026-33865 via mlflow (1.4.0)

mlflow PYPI version 1.4.0 is affected by a known vulnerability. The following packages have a transitive dependency on mlflow and may be impacted: - gordo-components =0.44.0, =0.46.0 Source cves: CVE-2026-33865 Source advisory: OSV:PYSEC-2026-93...

EUVD-2025-209255

Remote Code Execution Vulnerability in JP1/IT Desktop Management 2 - Manager on Windows, JP1/IT Desktop Management 2 - Operations Director on Windows, Job Management Partner 1/IT Desktop Management 2 - Manager on Windows, JP1/IT Desktop Management - Manager on Windows, Job Management Partner 1/IT...

CVE-2025-65115

CVE-2025-65115: Affects JP1/IT Desktop Management 2 and JP1/NETM/DM (Manager, Operations Director, and related components) on Windows. Vulnerable versions are listed as prior to specific 13.x and 12.x, 10.x releases (e.g., Manager: before 13-50-02, 12-60-12; Operations Director: before 13-50-02, ...

Mozilla Thunderbird < 149.0.2

The version of Thunderbird installed on the remote macOS or Mac OS X host is prior to 149.0.2. It is, therefore, affected by multiple vulnerabilities as referenced in the mfsa2026-28 advisory. - Memory safety bugs present in Firefox 149.0.1 and Thunderbird 149.0.1. Some of these bugs showed...

PT-2026-30792

Remote Code Execution Vulnerability in JP1/IT Desktop Management 2 - Manager on Windows, JP1/IT Desktop Management 2 - Operations Director on Windows, Job Management Partner 1/IT Desktop Management 2 - Manager on Windows, JP1/IT Desktop Management - Manager on Windows, Job Management Partner 1/IT...

Security Bulletin: Investigation Assistant App for IBM QRadar SIEM is vulnerable to using components with known vulnerabilities

Summary The product includes vulnerable components e.g., framework libraries that could be identified and exploited with automated tools. Investigation Assistant App for IBM QRadar SIEM has addressed the applicable CVEs in an update. Vulnerability Details CVEID:CVE-2026-27628 DESCRIPTION: pypdf i...

Exploit for Deserialization of Untrusted Data in Facebook React

👻 CVE-2025-55182 Go exploit Interactive RCE exploitation to...

CVE-2026-28797

RAGFlow is an open-source RAG Retrieval-Augmented Generation engine. In versions 0.24.0 and prior, a Server-Side Template Injection SSTI vulnerability exists in RAGFlow's Agent workflow Text Processing StringTransform and Message components. These components use Python's jinja2.Template unsandbox...

AppleScript macOS Data Compromise

The vulnerability of AppleScript components in macOS operating systems is related to deficiencies in access control. Exploiting this vulnerability can allow an attacker to compromise the integrity of protected information...

Exploit for Deserialization of Untrusted Data in Facebook React

CVE-2025-55182 React2Shell — Security Analysis Overview...

EUVD-2026-18851

Improper neutralization of special elements in the authentication components in Amazon Athena ODBC driver before 2.1.0.0 might allow a threat actor to execute arbitrary code or redirect authentication flows by using specially crafted connection parameters that are processed by the driver during...

CVE-2026-35558 Improper neutralization of special elements in authentication components in Amazon Athena ODBC driver

Improper neutralization of special elements in the authentication components in Amazon Athena ODBC driver before 2.1.0.0 might allow a threat actor to execute arbitrary code or redirect authentication flows by using specially crafted connection parameters that are processed by the driver during...

CVE-2026-35562

CVE-2026-35562 affects the Amazon Athena ODBC driver prior to version 2.1.0.0, where allocations of resources in the parsing components may be unbounded, enabling a threat actor to induce a denial of service via crafted input during parsing. Affected platforms include Windows, Linux, and macOS bu...

gordo-components (>=0.44.0, <=0.46.0) potentially affected by CVE-2026-0545 via mlflow (1.4.0)

mlflow PYPI version 1.4.0 is affected by a known vulnerability. The following packages have a transitive dependency on mlflow and may be impacted: - gordo-components =0.44.0, =0.46.0 Source cves: CVE-2026-0545 Source advisory: OSV:GHSA-7QHF-V65M-G5F3...

CVE-2026-28797: Improper Input Validation

RAGFlow is an open-source RAG Retrieval-Augmented Generation engine. In versions 0.24.0 and prior, a Server-Side Template Injection SSTI vulnerability exists in RAGFlow's Agent workflow Text Processing StringTransform and Message components. These components use Python's jinja2.Template unsandbox...

CVE-2026-35562: Allocation of Resources Without Limits or Throttling

Allocation of resources without limits in the parsing components in Amazon Athena ODBC driver before 2.1.0.0 might allow a threat actor to cause a denial of service by delivering crafted input that triggers excessive resource consumption during the driver's parsing operations. To remediate this...

PT-2026-30221

Allocation of resources without limits in the parsing components in Amazon Athena ODBC driver before 2.1.0.0 might allow a threat actor to cause a denial of service by delivering crafted input that triggers excessive resource consumption during the driver's parsing operations. To remediate this...

From Component Manipulation to System Compromise: Understanding and Detecting Malicious MCP Servers

The model context protocol MCP standardizes how LLMs connect to external tools and data sources, enabling faster integration but introducing new attack vectors. Despite the growing adoption of MCP, existing MCP security studies classify attacks by their observable effects, obscuring how attacks...

Authorization Bypass Through User-Controlled Key

Overview Affected versions of this package are vulnerable to Authorization Bypass Through User-Controlled Key via batch operation. An attacker can perform unauthorized operations such as signaling, deleting, or resetting workflows or activities in another namespace by manipulating the namespace...

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...