OpenAI’s internal evaluation of its upcoming model, Astra, found significant advances in agentic coding and cybersecurity, leading the company to conclude that it cannot rule out the model reaching the critical capability level for cybersecurity under its Preparedness Framework. The Preparedness Framework, first published in December 2023, outlines how OpenAI evaluates frontier AI risks and determ

OpenAI has initiated a lockdown of its forthcoming Astra model after internal evaluations revealed significant advancements in its agentic coding and cybersecurity capabilities. The company stated it cannot definitively rule out Astra achieving a "critical capability" level for cybersecurity under its Preparedness Framework, which outlines risk assessment and safeguard protocols for advanced AI models.
The Preparedness Framework, established in December 2023, categorizes high-risk areas such as cybersecurity, biological and chemical threats, harmful persuasion, and AI self-improvement. Models undergo safety evaluations prior to deployment, and those deemed to pose unacceptable risks face delayed deployment or the implementation of additional safeguards.
Under this framework, an AI model is classified as possessing critical cybersecurity capabilities if it can autonomously identify previously unknown software vulnerabilities in secure systems or plan and execute sophisticated cyberattacks against well-protected targets with minimal human intervention. OpenAI noted it is applying a similar cautious approach to Astra as it did in 2025 when its AI models began demonstrating advanced biological capabilities.
OpenAI clarified that this is a preliminary assessment and Astra has not yet been formally classified as a critical cybersecurity model. The company is continuing its evaluations to make a final determination. It also explicitly stated that Astra is an upcoming model and was not implicated in any exploitation of Hugging Face.
In response to these findings, OpenAI has bolstered its safeguards and security controls for models exhibiting such advanced capabilities. During Astra's development, stricter security measures were implemented, including isolated testing environments, restricted network and tool access, enhanced protection and encryption of model weights, additional monitoring and detection systems, and sandboxed execution.
Activities involving Astra that do not meet these heightened security requirements have been paused. The company has also introduced comprehensive monitoring to detect risky actions and signs of misalignment within agentic applications.
Prior to Astra's deployment, OpenAI intends to engage government agencies and independent AI safety organizations to evaluate the model's cybersecurity capabilities. External testing partners will also receive guidance and security measures to facilitate the safe evaluation of the model's higher-risk functionalities.
A weakness has been identified in Tenda CP3 27.5.57.101. This issue affects some unknown processing of the file Net/NetCheckPing.cpp. This manipulation of the argument interface_name/host causes os command injection. The attack can be initiated remotely.
A security flaw has been discovered in Tenda CP3 27.5.57.101. This vulnerability affects the function SystemAsh of the file Apis/system.c of the component Kylin. The manipulation of the argument AlarmVoiceURL results in os command injection. It is possible to launch the attack remotely.

OpenAI has announced a $1 billion commitment to provide subsidized access to its Daybreak AI cybersecurity tools for under-resourced critical infrastructure defenders. The initiative, named Daybreak for Frontline Defenders, will offer AI models, training, and technical support over the next six months, prioritizing water and wastewater utilities, electric grid operators, and local government entities. This move aims to equip organizations with limited budgets and staff against increasingly sophisticated cyber threats.

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In BPF instructions that load/store a value from/to a scratch memory register the register index is an unsigned 32-bit integer and must not exceed 15, but libpcap BPF interpreter does not validate the value. In particular uncommon use cases a crafted filter program can cause the interpreter to try reading and writing the OS process memory in the 16GiB starting at the current stack frame on 64-bit architectures and in the entire address space on 32-bit architectures.

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