malicious gguf model can cause DoS by allocate unlimited memory via network access

This report is not public...

malicious gguf model can be uploaded and created causing division by zero via network, leading to DoS

This report is not public...

DoS using malicious gguf model file

This report is not public...

The vulnerability of the libodxdll.dll library in the AutoCAD modeling, design, and drafting software allows a perpetrator to gain unauthorized access to protected information, execute arbitrary code, or cause a service failure.

The vulnerability of the libodxdll.dll library in software for simulation, design, and drawing in AutoCAD is related to the use of memory after it is freed. Exploiting this vulnerability can allow an attacker to gain unauthorized access to protected information, execute arbitrary code, or cause a...

CVE-2024-8596

A maliciously crafted MODEL file, when parsed in libodxdll.dll through Autodesk AutoCAD, may force an Out-of-Bounds Write vulnerability. A malicious actor may leverage this vulnerability to cause a crash, cause data corruption, or execute arbitrary code in the context of the current process...

Autodesk AutoCAD 安全漏洞

Autodesk AutoCAD is a suite of professional 3D drawing software from Autodesk, Inc. in the United States. A security vulnerability exists in Autodesk AutoCAD that originates from a maliciously constructed MODEL file parsed in libodxdll.dll that can lead to post-release reuse and can be exploited ...

CVE-2024-45853

Deserialization of untrusted data can occur in versions 23.10.2.0 and newer of the MindsDB platform, enabling a maliciously uploaded ‘inhouse’ model to run arbitrary code on the server when used for a prediction...

CVE-2024-45854

Deserialization of untrusted data can occur in versions 23.10.3.0 and newer of the MindsDB platform, enabling a maliciously uploaded ‘inhouse’ model to run arbitrary code on the server when a ‘describe’ query is run on it...

PYSEC-2024-83

Deserialization of untrusted data can occur in versions 23.10.2.0 and newer of the MindsDB platform, enabling a maliciously uploaded ‘inhouse’ model to run arbitrary code on the server when used for a prediction...

PYSEC-2024-84

Deserialization of untrusted data can occur in versions 23.10.3.0 and newer of the MindsDB platform, enabling a maliciously uploaded ‘inhouse’ model to run arbitrary code on the server when a ‘describe’ query is run on it...

MindsDB 安全漏洞

MindsDB is an emerging low-code machine learning platform from MindsDB, Inc. A security vulnerability exists in MindsDB version 23.10.2.0 and earlier, which stems from the presence of deserialization of untrusted data, allowing a maliciously uploaded model to run arbitrary code on the server when...

Division By Zero Error

TensorFlow is vulnerable to Division By Zero Error. The vulnerability is due to improper validation of the params input in the GatherNd TFLite operator, which allows an empty tensor to craft a malicious model that can trigger a division by zero and causing a zero dimension in paramsshape.Dims...

PT-2024-33304 · Unknown · Llama Cpp Python +1

Name of the Vulnerable Software and Affected Versions: parisneo/lollms-webui version affected versions not specified Description: The issue arises from an insecure dependency on llama cpp python version llama cpp python-0.2.61+cpuavx2-cp311-cp311-manylinux 2 31 x86 64. The vulnerability is linked...

Autodesk AutoCAD Out-of-Bounds Read Vulnerability (CNVD-2024-33000)

Autodesk AutoCAD is a set of professional 3D drawing software from the American Autodesk Corporation. An out-of-bounds read vulnerability exists in Autodesk AutoCAD version 2024.1.5, which stems from a lack of proper validation of user-supplied data when parsing a maliciously crafted MODEL file i...

CVE-2024-23155 Multiple ZDI Vulnerabilities in Autodesk AutoCAD and certain AutoCAD-based products

A maliciously crafted MODEL file, when parsed in atfasminterface.dll through Autodesk applications, can be used to cause a Heap-based Buffer Overflow. A malicious actor can leverage this vulnerability to cause a crash or execute arbitrary code in the context of the current process...

GHSA-J8MG-PQC5-X9GJ MLFlow unsafe deserialization

Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.0.0rc0 or newer, enabling a maliciously uploaded Tensorflow model to run arbitrary code on an end user’s system when interacted with...

GHSA-HQ88-WG7Q-GP4G mlflow vulnerable to Path Traversal

mlflow/mlflow is vulnerable to Local File Inclusion LFI due to improper parsing of URIs, allowing attackers to bypass checks and read arbitrary files on the system. The issue arises from the 'islocaluri' function's failure to properly handle URIs with empty or 'file' schemes, leading to the...

CVE-2024-3573

mlflow/mlflow is vulnerable to Local File Inclusion LFI due to improper parsing of URIs, allowing attackers to bypass checks and read arbitrary files on the system. The issue arises from the 'islocaluri' function's failure to properly handle URIs with empty or 'file' schemes, leading to the...

CVE-2024-3573

The CVE-2024-3573 entry concerns mlflow/mlflow with a Local File Inclusion (LFI) caused by improper parsing of URIs in the is_local_uri logic. The issue misclassifies URIs with empty or file schemes as non-local, enabling an attacker to craft malicious model versions (source parameter) that bypas...

PT-2024-26681 · Mlflow · Mlflow

Name of the Vulnerable Software and Affected Versions: mlflow/mlflow affected versions not specified Description: The issue arises from the is local uri function's failure to properly handle URIs with empty or 'file' schemes, leading to the misclassification of URIs as non-local. Attackers can...