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AlmaLinux
AlmaLinux
•added 2026/09/02 12:00 a.m.•16 views

Important: nodejs:24 security update

Node.js is a software development platform for building fast and scalable network applications in the JavaScript programming language. Security Fixes: nodejs: Node.js: Unauthorized filesystem access due to Permission Model enforcement flaw CVE-2026-58043 nodejs: Node.js: Remote memory exhaustion...

8.4CVSS7.2AI score0.005EPSS
SaveExploits1References7
Tenable Nessus
Tenable Nessus
•added 2026/09/02 12:00 a.m.•18 views

RockyLinux 8 : nodejs:24 (RLSA-2026:62583)

The remote RockyLinux 8 host has packages installed that are affected by multiple vulnerabilities as referenced in the RLSA-2026:62583 advisory. nodejs: Node.js: Unauthorized filesystem access due to Permission Model enforcement flaw CVE-2026-58043 nodejs: Node.js: Remote memory exhaustion via...

8.4CVSS7.3AI score0.005EPSS
SaveExploits1References7
Snyk
Snyk
•added 2026/09/01 9:04 p.m.•15 views

Deserialization of Untrusted Data

Overview kibana is an open source Apache Licensed, browser-based analytics and search dashboard for Elasticsearch. Affected versions of this package are vulnerable to Deserialization of Untrusted Data in the machine learning component when processing trained model artifacts. An attacker can execu...

8.8CVSS6.4AI score0.00918EPSS
SaveExploits0References2
NVD
NVD
•added 2026/09/01 8:17 p.m.•35 views

CVE-2026-72649

Deserialization of Untrusted Data CWE-502 in the Elasticsearch machine learning component can lead to remote code execution via Object Injection CAPEC-586. A specially crafted trained model artifact could cause attacker-controlled logic to execute with a materially broader system-call surface tha...

8.8CVSS0.00918EPSS
SaveExploits0References1
OSV
OSV
•added 2026/09/01 8:17 p.m.•14 views

AZL-98451 CVE-2026-72649 affecting package rubygem-elasticsearch 8.9.0-1

Deserialization of Untrusted Data CWE-502 in the Elasticsearch machine learning component can lead to remote code execution via Object Injection CAPEC-586. A specially crafted trained model artifact could cause attacker-controlled logic to execute with a materially broader system-call surface tha...

8.8CVSS6.6AI score0.00918EPSS
SaveExploits0References1
Wired Threat Level
Wired Threat Level
•added 2026/09/01 8:00 p.m.•15 views

OpenAI Is About to Release Its First AI Model With ‘Critical’ Cyber Abilities

The company will give select partners early access to its Astra AI model—so they have time to shore up their defenses...

5.9AI score
SaveExploits0
RedHat Linux
RedHat Linux
•added 2026/09/01 7:57 p.m.•13 views

Important: Red Hat Security Advisory: nodejs:22 security update

An update for the nodejs:22 module is now available for Red Hat Enterprise Linux 8. Red Hat Product Security has rated this update as having a security impact of Important. A Common Vulnerability Scoring System CVSS base score, which gives a detailed severity rating, is available for each...

8.4CVSS7AI score0.005EPSS
SaveExploits1References3
RedHat Linux
RedHat Linux
•added 2026/09/01 7:57 p.m.•11 views

nodejs: Node.js: Unauthorized filesystem access due to Permission Model enforcement flaw

A flaw in the Node.js Permission Model allows attackers to bypass --permission restrictions, enabling unauthorized read or write access to files and directories...

8.4CVSS7.2AI score0.00152EPSS
SaveExploits0References5
Cvelist
Cvelist
•added 2026/09/01 7:20 p.m.•53 views

CVE-2026-72649 Deserialization of Untrusted Data in Elasticsearch Leading to Remote Code Execution

Deserialization of Untrusted Data CWE-502 in the Elasticsearch machine learning component can lead to remote code execution via Object Injection CAPEC-586. A specially crafted trained model artifact could cause attacker-controlled logic to execute with a materially broader system-call surface tha...

8.8CVSS0.00918EPSS
SaveExploits0References1
CVE
CVE
•added 2026/09/01 7:20 p.m.•180 views

CVE-2026-72649

This CVE affects the Elasticsearch machine learning component , where a deserialization of untrusted data flaw (CWE-502) via object injection (CAPEC-586) permits remote code execution . A specially crafted trained model artifact can cause attacker-controlled logic to execute with a materially bro...

8.8CVSS6.6AI score0.00918EPSS
SaveExploits0References1Affected Software1
Vulnrichment
Vulnrichment
•added 2026/09/01 7:20 p.m.•15 views

CVE-2026-72649 Deserialization of Untrusted Data in Elasticsearch Leading to Remote Code Execution

Deserialization of Untrusted Data CWE-502 in the Elasticsearch machine learning component can lead to remote code execution via Object Injection CAPEC-586. A specially crafted trained model artifact could cause attacker-controlled logic to execute with a materially broader system-call surface tha...

8.8CVSS6.6AI score0.00918EPSS
SaveExploits0References1
EUVD
EUVD
•added 2026/09/01 7:20 p.m.•24 views

EUVD-2026-69562

Deserialization of Untrusted Data CWE-502 in the Elasticsearch machine learning component can lead to remote code execution via Object Injection CAPEC-586. A specially crafted trained model artifact could cause attacker-controlled logic to execute with a materially broader system-call surface tha...

8.8CVSS6.6AI score0.00918EPSS
SaveExploits0References1
Elastic
Elastic
•added 2026/09/01 6:44 p.m.•55 views

Elasticsearch 8.19.20, 9.4.5, 9.5.1 Security Update (ESA-2026-114)

Deserialization of Untrusted Data in Elasticsearch Leading to Remote Code Execution Deserialization of Untrusted Data CWE-502 in the Elasticsearch machine learning component can lead to remote code execution via Object Injection CAPEC-586. A specially crafted trained model artifact could cause...

8.8CVSS6.3AI score0.00918EPSS
SaveExploits0
OSV
OSV
•added 2026/09/01 5:04 p.m.•5 views

GHSA-GQVG-GMMX-X4HM MLFLOW_ALLOW_PICKLE_DESERIALIZATION=False safety control bypassed by mlflow.statsmodels flavor — RCE via crafted model artifact

Summary MLflow introduced MLFLOWALLOWPICKLEDESERIALIZATION as a security control to prevent unsafe pickle.load execution during model loading, in response to CVE-2024-37052 through CVE-2024-37060. When set to False, operators expect all pickle deserialization to be blocked. The most recent relate...

8.8CVSS6.3AI score
SaveExploits0References5
Github Security Blog
Github Security Blog
•added 2026/09/01 5:04 p.m.•29 views

MLFLOW_ALLOW_PICKLE_DESERIALIZATION=False safety control bypassed by mlflow.statsmodels flavor — RCE via crafted model artifact

Summary MLflow introduced MLFLOWALLOWPICKLEDESERIALIZATION as a security control to prevent unsafe pickle.load execution during model loading, in response to CVE-2024-37052 through CVE-2024-37060. When set to False, operators expect all pickle deserialization to be blocked. The most recent relate...

6.3AI score
SaveExploits0References5Affected Software1
RedhatCVE
RedhatCVE
•added 2026/09/01 4:32 p.m.•21 views

CVE-2026-84202

A flaw was found in ModelScope. This vulnerability arises from the use of PyYAML's unsafe yaml.Loader when parsing model configuration files. A remote attacker can exploit this by crafting malicious model repositories containing poisoned configuration files. When these files are loaded by a user,...

8.8CVSS6.2AI score0.00682EPSS
SaveExploits0References8
CVE
CVE
•added 2026/09/01 3:18 p.m.•41 views

CVE-2026-84202

ModelScope (through v1.40.0 ) uses PyYAML's unsafe yaml.Loader to parse model configuration files, enabling arbitrary code execution via Python object construction tags. An attacker can craft a malicious model repository with a poisoned configuration file that executes code when a user loads the ...

8.8CVSS6.5AI score0.00682EPSS
SaveExploits0References5
EUVD
EUVD
•added 2026/09/01 3:18 p.m.•19 views

EUVD-2026-69289

ModelScope uses PyYAML's unsafe yaml.Loader to parse model configuration files, allowing arbitrary code execution through Python object construction tags. Attackers can craft malicious model repositories with poisoned configuration files that execute code when loaded by users...

8.8CVSS6.3AI score0.00682EPSS
SaveExploits0References5
Vulnrichment
Vulnrichment
•added 2026/09/01 3:18 p.m.•17 views

CVE-2026-84202 ModelScope through 1.40.0 Unsafe YAML Deserialization in Model Config Loading

ModelScope uses PyYAML's unsafe yaml.Loader to parse model configuration files, allowing arbitrary code execution through Python object construction tags. Attackers can craft malicious model repositories with poisoned configuration files that execute code when loaded by users...

8.8CVSS6.5AI score0.00682EPSS
SaveExploits0References5
Cvelist
Cvelist
•added 2026/09/01 3:18 p.m.•38 views

CVE-2026-84202 ModelScope through 1.40.0 Unsafe YAML Deserialization in Model Config Loading

ModelScope uses PyYAML's unsafe yaml.Loader to parse model configuration files, allowing arbitrary code execution through Python object construction tags. Attackers can craft malicious model repositories with poisoned configuration files that execute code when loaded by users...

8.8CVSS0.00682EPSS
SaveExploits0References5
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