GHSA-QRC4-49GV-MV9M LiteLLM allows an authenticated internal_user to create API keys with access to routes that their role does not permit

LiteLLM prior to 1.83.14 allows an authenticated internaluser to create API keys with access to routes that their role does not permit. When generating a key, the allowedroutes field is stored without verifying that the specified routes fall within the user's own permissions. A key created with...

EUVD-2026-31345

LiteLLM prior to 1.83.10 allows a user to modify their own userrole via the /user/update endpoint. While the endpoint correctly restricts users to updating only their own account, it does not restrict which fields may be changed. A user who can reach this endpoint can set their role to proxyadmin...

CVE-2026-8955

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

Ollama Scanner

This module identifies ollama instances and enumerates the LLM models which have been loaded and are running. Module Options msf use auxiliary/scanner/http/ollamainfo msf auxiliaryollamainfo show actions ...actions... msf auxiliaryollamainfo set ACTION msf auxiliaryollamainfo show options ...show...

GHSA-RQ6V-X3J8-7QGF Amazon SageMaker Python SDK is missing integrity verification in its Triton inference handler

Summary Amazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the Triton inference handler deserializes model artifacts without performing integrity verification, allowing...

Improper Validation of Integrity Check Value

Overview sagemaker-serve is a SageMaker Serve package for model serving and deployment Affected versions of this package are vulnerable to Improper Validation of Integrity Check Value in the Triton inference handler. An attacker can execute arbitrary code with the SageMaker execution role's IAM...

EUVD-2026-30423

Amazon SageMaker Python SDK is missing integrity verification in its Triton inference handler...

Amazon SageMaker Python SDK is missing integrity verification in its Triton inference handler

Summary Amazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the Triton inference handler deserializes model artifacts without performing integrity verification, allowing...

Cleartext Storage of Sensitive Information

Overview sagemaker-serve is a SageMaker Serve package for model serving and deployment Affected versions of this package are vulnerable to Cleartext Storage of Sensitive Information in the ModelBuilder/Serve component. An attacker can extract sensitive HMAC signing keys by accessing the SageMaker...

Cleartext storage of HMAC signing key in Amazon SageMaker Python SDK ModelBuilder/Serve path

Summary Amazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the ModelBuilder/Serve component stores an HMAC signing key in cleartext as a container environment variable,...

LMDeploy: Arbitrary code execution via hardcoded trust_remote_code=True in lmdeploy model initialization

Summary lmdeploy hardcodes trustremotecode=True in multiple HuggingFace model-loading call sites. The affected code paths are in: text lmdeploy/archs.py lmdeploy/utils.py The vulnerable call sites pass trustremotecode=True into HuggingFace Transformers APIs such as AutoConfig.frompretrained,...

GHSA-M549-QQ94-FVHG LMDeploy: Arbitrary code execution via hardcoded trust_remote_code=True in lmdeploy model initialization

Summary lmdeploy hardcodes trustremotecode=True in multiple HuggingFace model-loading call sites. The affected code paths are in: text lmdeploy/archs.py lmdeploy/utils.py The vulnerable call sites pass trustremotecode=True into HuggingFace Transformers APIs such as AutoConfig.frompretrained,...

RLSA-2026:1631 Moderate: python3 security update

Python is an interpreted, interactive, object-oriented programming language, which includes modules, classes, exceptions, very high level dynamic data types and dynamic typing. Python supports interfaces to many system calls and libraries, as well as to various windowing systems. Security Fixes:...

macOS Kernel Memory Corruption Exploit

A group used Anthropic's Mythos AI model to help find a kernel memory corruption vulnerability and exploit on Apple's M5. News article...

Security Bulletin: IBM Watson Speech Services Cartridge is vulnerable to an Improper Input Validation in ONNX [CVE-2026-34445, CVE-2026-34446, CVE-2026-34447]

Summary IBM Watson Speech Services Cartridge is vulnerable to an Improper Input Validation in ONNX due to an issue with the ExternalDataInfo class in ONNX using Python's setattr function to load metadata like file paths or data lengths directly from an ONNX model file, which fails to properly...

SUSE CVE-2026-9126

Use after free in DOM in Google Chrome on prior to 148.0.7778.179 allowed a remote attacker to execute arbitrary code inside a sandbox via a crafted HTML page. Chromium security severity: Medium...

CVE-2026-2734

A flaw was found in mlflow. An authenticated user could exploit a lack of proper authorization checks in the SearchModelVersions REST API and mlflowSearchModelVersions GraphQL query. This flaw allows them to enumerate all model versions across all registered models, potentially exposing sensitive...

Access Control Bypass

Overview mlflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. Affected versions of this package are vulnerable to Access Control Bypass via the SearchModelVersions REST API endpoin...

Access Control Bypass

Overview Affected versions of this package are vulnerable to Access Control Bypass via the SearchModelVersions REST API endpoint and the mlflowSearchModelVersions GraphQL query. An attacker can access sensitive information, including model names, version descriptions, source URIs, tags, and other...

MLflow authenticated users can enumerate any registered model versions due to lack of per-model permissions checks

In mlflow/mlflow versions up to 3.9.0, the SearchModelVersions REST API endpoint and the mlflowSearchModelVersions GraphQL query lack proper per-model authorization checks when basic authentication is enabled. This allows any authenticated user to enumerate all model versions across all registere...