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-2024-85

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 using ‘finetune’ on it...

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...

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-2024-85

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 using ‘finetune’ 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...

CVE-2024-45853

CVE-2024-45853 affects MindsDB platform (23.10.2.0 and newer) via deserialization of untrusted data when using an uploaded ‘inhouse’ model for prediction, enabling arbitrary code execution on the server. The connected sources confirm the vulnerability, its impact on server integrity and availabil...

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...

K000141047: Multiple Node.js vulnerabilities

Security Advisory Description CVE-2024-22018 A vulnerability has been identified in Node.js, affecting users of the experimental permission model when the --allow-fs-read flag is used. This flaw arises from an inadequate permission model that fails to restrict file stats through the fs.lstat API...

PT-2024-31810 · Mindsdb · Mindsdb

Name of the Vulnerable Software and Affected Versions: MindsDB versions 23.10.2.0 and newer Description: The issue concerns the deserialization of untrusted data in the MindsDB platform. This allows a maliciously uploaded 'inhouse' model to run arbitrary code on the server when used for a...

i-doit SQL注入漏洞

i-doit is a configuration management database software from i-doit Inc. An SQL injection vulnerability exists in i-doit that originates from an information disclosure vulnerability contained in the ID parameter in isysapimodelcmdbobjectsbyrelation.class.php...

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...

x86/fpu: Keep xfd_state in sync with MSR_IA32_XFD

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kernel: xdp: Remove WARN() from __xdp_reg_mem_model()

A flaw was found in the Linux kernel's xdp subsystem in the xdpregmemmodel function where a memory allocation failure will trigger a warning if the function memidinithashtable returns an error. This warning is unnecessary as it elevates the severity of a memory allocation failure and pollutes the...

BIT-NODE-2023-30582

A vulnerability has been identified in Node.js version 20, affecting users of the experimental permission model when the --allow-fs-read flag is used with a non- argument. This flaw arises from an inadequate permission model that fails to restrict file watching through the fs.watchFile API. As a...

BIT-NODE-2023-30583

fs.openAsBlob can bypass the experimental permission model when using the file system read restriction with the --allow-fs-read flag in Node.js 20. This flaw arises from a missing check in the fs.openAsBlob API. Please note that at the time this CVE was issued, the permission model is an...

BIT-NODE-2023-30584

A vulnerability has been discovered in Node.js version 20, specifically within the experimental permission model. This flaw relates to improper handling of path traversal bypass when verifying file permissions. Please note that at the time this CVE was issued, the permission model is an...

BIT-NODE-2023-30587

A vulnerability in Node.js version 20 allows for bypassing restrictions set by the --experimental-permission flag using the built-in inspector module node:inspector. By exploiting the Worker class's ability to create an "internal worker" with the kIsInternal Symbol, attackers can modify the...