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...

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...

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...

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...

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...

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...

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,...

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...

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...

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 ...

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...

CVE-2026-81726

A flaw was found in NLTK. This vulnerability, known as path traversal, allows an attacker to bypass security restrictions in the model-artifact APIs. By exploiting this, an attacker can perform unauthorized read or write operations on files outside the intended secure directories. This could lead...

Johnny Still Receives Spam SMS: Assessing the Robustness of SMS Spam Detection

SMS spam detection systems often achieve high accuracy in controlled environments but struggle against adversarial attacks and increasingly sophisticated spam tactics in real-world deployments. In this paper, we evaluate the robustness of SMS anti-spam systems that end users actually rely on,...

PT-2026-84388

Name of the Vulnerable Software and Affected Versions Elasticsearch affected versions not specified Description Deserialization of untrusted data in the machine learning component allows remote code execution through object injection. An attacker can use a specially crafted trained model artifact...

Effective Interventions against AI-Enhanced Scams

In 2025, scams were responsible for an estimated $442 billion in direct losses globally. In the United States, reported losses increased by nearly 400% between 2020 and 2025. Though AI in scamming is a relatively new phenomenon, its use significantly changes the economics of scams as well as the...

AlmaLinux 9 : nodejs:22 (ALSA-2026:61383)

The remote AlmaLinux 9 host has packages installed that are affected by multiple vulnerabilities as referenced in the ALSA-2026:61383 advisory. nodejs: Node.js: Unauthorized filesystem access due to Permission Model enforcement flaw CVE-2026-58043 nodejs: Node.js: Remote memory exhaustion via...

Using LLMs to Elicit Security Requirements for Service-Oriented Cyber Ranges

Cyber ranges are complex environments comprising many interacting components and stakeholders with different security concerns. The Service-Oriented Cyber Range SOR is no exception, particularly when it comes to training scenarios targeting critical infrastructure. Security concerns are translate...

AlmaLinux 10 : nodejs24 (ALSA-2026:61377)

The remote AlmaLinux 10 host has packages installed that are affected by multiple vulnerabilities as referenced in the ALSA-2026:61377 advisory. nodejs: Node.js: Unauthorized filesystem access due to Permission Model enforcement flaw CVE-2026-58043 nodejs: Node.js: Remote memory exhaustion via...

RLSA-2026:61383 Important: nodejs:22 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...

RLSA-2026:61386 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...