Directory Traversal

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 Directory Traversal via improper validation of user-supplied paths...

CVE-2025-11201 MLflow Tracking Server Model Creation Directory Traversal Remote Code Execution Vulnerability

MLflow Tracking Server Model Creation Directory Traversal Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of MLflow Tracking Server. Authentication is not required to exploit this vulnerability. The specific flaw...

CVE-2025-11201 MLflow Tracking Server Model Creation Directory Traversal Remote Code Execution Vulnerability

MLflow Tracking Server Model Creation Directory Traversal Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of MLflow Tracking Server. Authentication is not required to exploit this vulnerability. The specific flaw...

CVE-2025-11201

CVE-2025-11201 is a Directory Traversal leading to Remote Code Execution in MLflow Tracking Server. The flaw arises from improper validation of a user-supplied model file path, allowing an attacker to execute code with the service account via crafted paths over the network without authentication....

CVE-2025-11201 MLflow Tracking Server Model Creation Directory Traversal Remote Code Execution Vulnerability

MLflow Tracking Server Model Creation Directory Traversal Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of MLflow Tracking Server. Authentication is not required to exploit this vulnerability. The specific flaw...

New AI-Targeted Cloaking Attack Tricks AI Crawlers Into Citing Fake Info as Verified Facts

Cybersecurity researchers have flagged a new security issue in agentic web browsers like OpenAI ChatGPT Atlas that exposes underlying artificial intelligence AI models to context poisoning attacks. In the attack devised by AI security company SPLX, a bad actor can set up websites that serve...

MINI-778M-CG3H-RH5V

Bulletin has no description...

EUVD-2025-36634

Keras is vulnerable to arbitrary local file loading and Server-Side Request Forgery...

AZL-69021 CVE-2025-12058 affecting package keras 3.3.3-6

The Keras.Model.loadmodel method, including when executed with the intended security mitigation safemode=True, is vulnerable to arbitrary local file loading and Server-Side Request Forgery SSRF. This vulnerability stems from the way the StringLookup layer is handled during model loading from a...

CVE-2025-12058

The Keras.Model.loadmodel method, including when executed with the intended security mitigation safemode=True, is vulnerable to arbitrary local file loading and Server-Side Request Forgery SSRF. This vulnerability stems from the way the StringLookup layer is handled during model loading from a...

AZL-69583 CVE-2025-12058 affecting package keras 2.11.0-3

The Keras.Model.loadmodel method, including when executed with the intended security mitigation safemode=True, is vulnerable to arbitrary local file loading and Server-Side Request Forgery SSRF. This vulnerability stems from the way the StringLookup layer is handled during model loading from a...

UBUNTU-CVE-2025-12058

The Keras.Model.loadmodel method, including when executed with the intended security mitigation safemode=True, is vulnerable to arbitrary local file loading and Server-Side Request Forgery SSRF. This vulnerability stems from the way the StringLookup layer is handled during model loading from a...

CVE-2025-12058

The CVE describes a vulnerability in Keras Model.load_model where the StringLookup layer can load a local file or fetch remote content during model loading, enabling arbitrary local file reads and SSRF even when safe_mode=True. IBM bulletins link affected packages (keras-3.11.3 wheel; keras-2.14....

CVE-2025-12058 Vulnerability in Keras Model.load_model Leading to Arbitrary Local File Loading and SSRF

The Keras.Model.loadmodel method, including when executed with the intended security mitigation safemode=True, is vulnerable to arbitrary local file loading and Server-Side Request Forgery SSRF. This vulnerability stems from the way the StringLookup layer is handled during model loading from a...

CVE-2025-12058

The Keras.Model.loadmodel method, including when executed with the intended security mitigation safemode=True, is vulnerable to arbitrary local file loading and Server-Side Request Forgery SSRF. This vulnerability stems from the way the StringLookup layer is handled during model loading from a...

CVE-2025-12058 Vulnerability in Keras Model.load_model Leading to Arbitrary Local File Loading and SSRF

The Keras.Model.loadmodel method, including when executed with the intended security mitigation safemode=True, is vulnerable to arbitrary local file loading and Server-Side Request Forgery SSRF. This vulnerability stems from the way the StringLookup layer is handled during model loading from a...

CVE-2025-12058 Vulnerability in Keras Model.load_model Leading to Arbitrary Local File Loading and SSRF

The Keras.Model.loadmodel method, including when executed with the intended security mitigation safemode=True, is vulnerable to arbitrary local file loading and Server-Side Request Forgery SSRF. This vulnerability stems from the way the StringLookup layer is handled during model loading from a...

CVE-2025-64208 WordPress Jannah - Extensions plugin <= 1.1.4 - Cross Site Scripting (XSS) vulnerability

Improper Neutralization of Input During Web Page Generation 'Cross-site Scripting' vulnerability in TieLabs Jannah - Extensions jannah-extensions allows DOM-Based XSS.This issue affects Jannah - Extensions: from n/a through = 1.1.4...

Model Inversion Attacks Meet Cryptographic Fuzzy Extractors

Model inversion attacks pose an open challenge to privacy-sensitive applications that use machine learning ML models. For example, face authentication systems use modern ML models to compute embedding vectors from face images of the enrolled users and store them. If leaked, inversion attacks can...

MLflow 路径遍历漏洞

MLflow is an open source platform from MLflow that simplifies machine learning development, including tracking experiments, packaging code into repeatable runs, and sharing and deploying models. MLflow suffers from a path traversal vulnerability that stems from improper handling of model file...