CVE-2023-33976

TensorFlow is an end-to-end open source platform for machine learning. arrayops.upperbound causes a segfault when not given a rank 2 tensor. The fix will be included in TensorFlow 2.13 and will also cherrypick this commit on TensorFlow 2.12...

CVE-2023-33976

CVE-2023-33976: TensorFlow is vulnerable to a denial-of-service crash due to a segfault in array_ops.upper_bound when not given a rank-2 tensor. The documented root cause is a segfault in array_ops.upper_bound; impact is a crash that can be triggered remotely as described in the advisory. The pub...

CVE-2023-33976 TensorFlow segfault in array_ops.upper_bound

TensorFlow is an end-to-end open source platform for machine learning. arrayops.upperbound causes a segfault when not given a rank 2 tensor. The fix will be included in TensorFlow 2.13 and will also cherrypick this commit on TensorFlow 2.12...

CVE-2023-33976 TensorFlow segfault in array_ops.upper_bound

TensorFlow is an end-to-end open source platform for machine learning. arrayops.upperbound causes a segfault when not given a rank 2 tensor. The fix will be included in TensorFlow 2.13 and will also cherrypick this commit on TensorFlow 2.12...

Microsoft Azure Machine Learning Forecasting Toolkit azuremlftkrelease Uncontrolled Search Path Element Remote Code Execution Vulnerability

This vulnerability allows remote attackers to execute arbitrary code on affected installations of Forecasting Toolkit for Microsoft Azure. Authentication is not required to exploit this vulnerability. The specific flaw exists within the installation of Forecasting Toolkit. When installed from the...

Microsoft Azure Machine Learning Notebooks azuremlpackages Uncontrolled Search Path Element Remote Code Execution Vulnerability

This vulnerability allows remote attackers to execute arbitrary code on affected installations of Azure Machine Learning Notebooks for Microsoft Azure. Authentication is not required to exploit this vulnerability. The specific flaw exists within the installation of Azure Machine Learning Notebook...

CVE-2024-6960

CVE-2024-6960 describes an unsafe deserialization flaw in H2O’s Iced framework: deserialized models can execute arbitrary code due to lack of a class whitelist. Public sources (including Red Hat RH/CVE and PT-Security) confirm this affects H2O, enabling potential code execution when importing cra...

H2O vulnerable to Deserialization of Untrusted Data

The H2O machine learning platform uses "Iced" classes as the primary means of moving Java Objects around the cluster. The Iced format supports inclusion of serialized Java objects. When a model is deserialized, any class is allowed to be deserialized no class allowlist. An attacker can construct ...

Fortinet FortiAIOps Cross-Site Request Forgery Vulnerability

Fortinet FortiAIOps is a Fortinet networking solution that combines artificial intelligence and machine learning AI/ML from Fortinet. Fortinet FortiAIOps version 2.0.0 suffers from a cross-site request forgery vulnerability that arises from a web application that does not adequately validate that...

Fortinet FortiAIOps Code Issue Vulnerability

Fortinet FortiAIOps is a Fortinet networking solution that combines artificial intelligence and machine learning AI/ML from Fortinet. A code issue vulnerability exists in Fortinet FortiAIOps version 2.0.0, which stems from the presence of multiple sessions that have insufficiently expired, and ca...

New Mirai Botnet Variants Observed: How to Identify a Mirai-Style DDoS Attack

The Mirai Internet of Things IoT botnet, notorious for targeting connected household devices like cameras, alarm systems, and personal routers, continues evolving and poses significant cybersecurity threats. It has a history of executing massive DDoS attacks, including a major incident that...

The Emerging Role of AI in Open-Source Intelligence

Recently the Office of the Director of National Intelligence ODNI unveiled a new strategy for open-source intelligence OSINT and referred to OSINT as the "INT of first resort". Public and private sector organizations are realizing the value that the discipline can provide but are also finding tha...

Takeaways From The Take Command Summit: Navigating Modern SOC Challenges

At our recent Take Command summit, experts delved into the pressing challenges faced by SOC teams. With 2,365 more data breaches in 2023 than in 2022 74% of which were a direct result of cyber attacks, the need for robust security operations has never been greater. Key takeaways from the 25 minut...

The vulnerability of the Zenml framework for creating machine learning pipelines, related to the incorrect validity period of a session, allows attackers to bypass the authentication process.

The vulnerability of the Zenml machine learning pipeline creation framework is related to an incorrect session duration. Exploiting this vulnerability can allow a malicious actor to bypass the authentication process...

Prompt Injection Flaw in Vanna AI Exposes Databases to RCE Attacks

Cybersecurity researchers have disclosed a high-severity security flaw in the Vanna.AI library that could be exploited to achieve remote code execution vulnerability via prompt injection techniques. The vulnerability, tracked as CVE-2024-5565 CVSS score: 8.1, relates to a case of prompt injection...

Number withdrawn

ZenML is an extensible open source MLOps framework for creating portable, production-ready machine learning pipelines. This CVE number has been withdrawn...

Mitigating SSRF Vulnerabilities Impacting Azure Machine Learning

Summary On May 9, 2024, Microsoft successfully addressed multiple vulnerabilities within the Azure Machine Learning AML service, which were initially discovered by security research firms Wiz and Tenable. These vulnerabilities, which included Server-Side Request Forgeries SSRF and a path traversa...

The vulnerability of the ML lifecycle management platform, which stems from the lack of measures taken to protect the website structure, allows attackers to carry out cross-site scripting attacks.

The vulnerability of the MLflow model lifecycle management platform exists due to the lack of measures taken to protect the website structure. Exploiting this vulnerability allows a remote attacker to perform cross-site scripting attacks...

New Attack Technique 'Sleepy Pickle' Targets Machine Learning Models

The security risks posed by the Pickle format have once again come to the fore with the discovery of a new "hybrid machine learning ML model exploitation technique" dubbed Sleepy Pickle. The attack method, per Trail of Bits, weaponizes the ubiquitous format used to package and distribute machine...

Unpacking 2024's SaaS Threat Predictions

Early in 2024, Wing Security released its State of SaaS Security report, offering surprising insights into emerging threats and best practices in the SaaS domain. Now, halfway through the year, several SaaS threat predictions from the report have already proven accurate. Fortunately, SaaS Securit...