MAECO-Lite: Modular Ontology for Dynamic Malware Analysis

Capturing dynamic malware behavior in a practical but still semantically precise manner remains a significant challenge in cyber threat intelligence. While standards such as MAEC and STIX provide widely adopted vocabularies for describing malware artifacts and observations, they represent data wi...

Evidence at the Moment of Attack. Answers at AI Speed.

Wiz Sensor Forensics is now generally available - automatically capturing forensic artifacts at the moment of detection and using AI to accelerate investigation for SOC and IR teams...

CVE-2026-2651

A flaw was found in MLflow when the --serve-artifacts mode is enabled. A remote attacker can exploit this vulnerability due to insufficient resource-level permission checks for multipart upload MPU endpoints. This allows the attacker to overwrite artifacts belonging to other users, which can lead...

CVE-2026-44749

The SAP Gateway allows attackers to inject content into error messages, potentially leading to disclosure of request artefacts e.g., regex patterns and revealing underlying URI parsing logic. Leading to low impact on confidentiality. Integrity and availability are unaffected...

MLflow allows unauthorized access to multipart upload endpoints when the `--serve-artifacts` mode is enabled

A vulnerability in MLflow versions =3.10.1.dev0 allows unauthorized access to multipart upload MPU endpoints when the --serve-artifacts mode is enabled. The authorization logic does not enforce resource-level permission checks for /mlflow-artifacts/mpu/ endpoints, enabling attackers to overwrite...

GHSA-8C7Q-86FQ-VVMH MLflow allows unauthorized access to multipart upload endpoints when the `--serve-artifacts` mode is enabled

A vulnerability in MLflow versions =3.10.1.dev0 allows unauthorized access to multipart upload MPU endpoints when the --serve-artifacts mode is enabled. The authorization logic does not enforce resource-level permission checks for /mlflow-artifacts/mpu/ endpoints, enabling attackers to overwrite...

MAL-2026-4347 Malicious code in @devcarron/clob (npm)

A campaign of npm packages sharing a common dropper clob.js that downloads and persistently installs a Windows executable from IPFS on postinstall. The dropper fetches the binary from IPFS CID bafybeif3zkapj364ofnrvbty7oj5h5ufpxlp4s62usk3ulxrru35e3gssa via multiple public gateways Pinata,...

Malicious code in @devcarron/clob (npm)

A campaign of npm packages sharing a common dropper clob.js that downloads and persistently installs a Windows executable from IPFS on postinstall. The dropper fetches the binary from IPFS CID bafybeif3zkapj364ofnrvbty7oj5h5ufpxlp4s62usk3ulxrru35e3gssa via multiple public gateways Pinata,...

Missing Authorization

Overview Affected versions of this package are vulnerable to Missing Authorization in the /mlflow-artifacts/mpu/ endpoints in --serve-artifacts mode. An attacker can gain unauthorized access to and overwrite artifacts belonging to other users by manipulating artifactpath and pathfilename argument...

Missing Authorization

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 Missing Authorization in the /mlflow-artifacts/mpu/ endpoints in...

PYSEC-2026-2220

A vulnerability in MLflow versions =3.10.1.dev0 allows unauthorized access to multipart upload MPU endpoints when the --serve-artifacts mode is enabled. The authorization logic does not enforce resource-level permission checks for /mlflow-artifacts/mpu/ endpoints, enabling attackers to overwrite...

CVE-2026-2651

A vulnerability in MLflow versions =3.10.1.dev0 allows unauthorized access to multipart upload MPU endpoints when the --serve-artifacts mode is enabled. The authorization logic does not enforce resource-level permission checks for /mlflow-artifacts/mpu/ endpoints, enabling attackers to overwrite...

PYSEC-2026-2220

A vulnerability in MLflow versions =3.10.1.dev0 allows unauthorized access to multipart upload MPU endpoints when the --serve-artifacts mode is enabled. The authorization logic does not enforce resource-level permission checks for /mlflow-artifacts/mpu/ endpoints, enabling attackers to overwrite...

CVE-2026-2651

MLflow CVE-2026-2651 describes missing authorization validation for MPU endpoints under /mlflow-artifacts/mpu/* when serve-artifacts is enabled. Vulnerable in MLflow versions

CVE-2026-2651

A vulnerability in MLflow versions =3.10.1.dev0 allows unauthorized access to multipart upload MPU endpoints when the --serve-artifacts mode is enabled. The authorization logic does not enforce resource-level permission checks for /mlflow-artifacts/mpu/ endpoints, enabling attackers to overwrite...

CVE-2026-2651 Missing Authorization Validation in mlflow/mlflow

A vulnerability in MLflow versions =3.10.1.dev0 allows unauthorized access to multipart upload MPU endpoints when the --serve-artifacts mode is enabled. The authorization logic does not enforce resource-level permission checks for /mlflow-artifacts/mpu/ endpoints, enabling attackers to overwrite...

CVE-2026-2651 Missing Authorization Validation in mlflow/mlflow

A vulnerability in MLflow versions =3.10.1.dev0 allows unauthorized access to multipart upload MPU endpoints when the --serve-artifacts mode is enabled. The authorization logic does not enforce resource-level permission checks for /mlflow-artifacts/mpu/ endpoints, enabling attackers to overwrite...

Improper Integrity Verification

Amazon SageMaker Python SDK is vulnerable to improper integrity verification. The vulnerability is due to missing integrity verification in the Triton inference handler, which allows an authenticated attacker with S3 write access to replace model artifacts with a specially crafted pickle payload...

CVE-2026-40610 BentoML has Information Disclosure in `bentoml build` via symlink traversal in the build context

BentoML is a Python library for building online serving systems optimized for AI apps and model inference. In versions 1.4.38 and prior, the build packaging workflow follows attacker-controlled symlinks inside the build context and copies the referenced file contents into the generated Bento...

EUVD-2026-31497

BentoML is a Python library for building online serving systems optimized for AI apps and model inference. In versions 1.4.38 and prior, the build packaging workflow follows attacker-controlled symlinks inside the build context and copies the referenced file contents into the generated Bento...