H2O 代码问题漏洞

H2O is an in-memory platform for distributed, scalable machine learning open-sourced by H2O.ai. A code issue vulnerability exists in H2O version 3.46.0.4, which stems from deserializing untrusted data and could lead to remote code execution...

polyaxon 跨站请求伪造漏洞

polyaxon is a polyaxon open source MLOps tool for managing and orchestrating the machine learning lifecycle. A cross-site request forgery vulnerability exists in polyaxon version v2.4.0, which stems from cross-site request forgery and could lead to unauthorized operations...

Announcing the winners of the Adaptive Prompt Injection Challenge (LLMail-Inject)

We are excited to announce the winners of LLMail-Inject, our first Adaptive Prompt Injection Challenge! The challenge ran from December 2024 until February 2025 and was featured as one of the four official competitions of the 3rd IEEE Conference on Secure and Trustworthy Machine Learning IEEE...

The vulnerability of the Iced training platform’s classes allows a hacker to execute arbitrary code.

The vulnerability of the Iced training platform for machine learning H2O is related to deficiencies in the deserialization mechanism. Exploiting this vulnerability allows a remote attacker to execute arbitrary code...

EPSS Decoded: An Examination & Comparison to CVSS

Running short on time but still want to stay in the know? Well, we've got you covered! We've condensed all the key takeaways into a handy audio summary. Our AI-driven podcasts are fit for on the go. Click right here to hear it all! A Paradigm Shift in Vulnerability Management Vulnerability...

Malicious ML Models on Hugging Face Leverage Broken Pickle Format to Evade Detection

Cybersecurity researchers have uncovered two malicious machine learning ML models on Hugging Face that leveraged an unusual technique of "broken" pickle files to evade detection. "The pickle files extracted from the mentioned PyTorch archives revealed the malicious Python content at the beginning...

CVE-2021-37648

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the code for tf.rawops.SaveV2 does not properly validate the inputs and an attacker can trigger a null pointer dereference. The implementation uses ValidateInputs to check that the input arguments are vali...

CVE-2022-23574

Tensorflow is an Open Source Machine Learning Framework. There is a typo in TensorFlow's SpecializeType which results in heap OOB read/write. Due to a typo, arg is initialized to the ith mutable argument in a loop where the loop index is j. Hence it is possible to assign to arg from outside the...

Security Bulletin: Vulnerabilites in the IBM WebSphere Application Server Liberty version 17.0.0.3 - 24.0.0.5 affects Watson Machine Learning Accelerator on Cloud Pak for Data

Summary Vulnerabilites in the IBM WebSphere Application Server Liberty version 17.0.0.3 - 24.0.0.5 affects Watson Machine Learning Accelerator on Cloud Pak for Data several releases. It has be fixed in Watson Machine Learning Accelerator on Cloud Pak for Data 5.0.1 release. Vulnerability Details...

PT-2025-2712 · Qualcomm · Qualcomm Snapdragon Auto

Name of the Vulnerable Software and Affected Versions: Qualcomm Snapdragon Auto affected versions not specified Description: Memory corruption occurs while parsing the ML IE due to invalid frame content. This issue could potentially be exploited for remote code execution. Recommendations: At the...

CVE-2024-49375 Remote Code Execution via Remote Model Loading in Rasa

Open source machine learning framework. A vulnerability has been identified in Rasa that enables an attacker who has the ability to load a maliciously crafted model remotely into a Rasa instance to achieve Remote Code Execution. The prerequisites for this are: 1. The HTTP API must be enabled on t...

CVE-2025-23042 Gradio Blocked Path ACL Bypass Vulnerability

Gradio is an open-source Python package that allows quick building of demos and web application for machine learning models, API, or any arbitrary Python function. Gradio's Access Control List ACL for file paths can be bypassed by altering the letter case of a blocked file or directory path. This...

Malicious code in amzn-aws-glue-ml-libs-python (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: kam193 e5986d73558862130dbb1317c6a92532786ec34f23d4d88c8fd6273198c5ce45 This is a couple of packages with names appearing to be a library for an AWS or other service. Their only behaviour is to call home on installation or import -...

Rasa 安全漏洞

Rasa is an open source machine learning framework for automating text and speech based conversations. A security vulnerability exists in Rasa. An attacker exploiting the vulnerability can remotely execute code...

Rapid7 Extends Cloud Security Capabilities with Updates to Exposure Command

The cloud has become the backbone of modern innovation, powering everything from AI to remote work. But as organizations embrace the cloud, they also face an ever-expanding and increasingly complex attack surface. With purpose-built harvesting technology providing real-time visibility into...

Researchers Uncover Flaws in Popular Open-Source Machine Learning Frameworks

Cybersecurity researchers have disclosed multiple security flaws impacting open-source machine learning ML tools and frameworks such as MLflow, H2O, PyTorch, and MLeap that could pave the way for code execution. The vulnerabilities, discovered by JFrog, are part of a broader collection of 22...

Qualys TotalAI: The Journey from LLM Scanner to Comprehensive AI Security Solution

Embarking on the AI/ML Journey The launch of Qualys TotalAI marks a significant milestone in our journey with AI/ML. It all began in March 2024 when we ventured into the rapidly evolving AI/ML landscape and the emerging LLM ecosystem. Recognizing the potential of these technologies to revolutioni...

Why Cybercriminals Are Not Necessarily Embracing AI

As published in HackerNoon and featured as a “Top 20 Best Read Article” for AI. Introduction The rapid advancement of AI has offered powerful tools for malware detection, but it has also introduced new avenues for adversarial attacks. As an example, recently OpenAI reported threat actors abusing...

The vulnerability of the library for optimizing machine learning models in Intel Neural Compressor lies in the failure to take measures to neutralize special elements in the template creation mechanism. This allows attackers to enhance their privileges.

The vulnerability of the Intel Neural Compressor library for optimizing machine learning models is related to the lack of measures taken to neutralize special elements in the template creation mechanism. Exploiting this vulnerability can allow a remote attacker to enhance their privileges...

The vulnerability of the library for optimizing machine learning models in Intel Neural Compressor allows attackers to exploit it by bypassing security measures related to SQL query structures, thereby enabling them to enhance their privileges.

The vulnerability of the Intel Neural Compressor library for optimizing machine learning models is related to the lack of protective measures for SQL query structures. Exploiting this vulnerability can allow attackers to enhance their privileges remotely...