#vulnerability disclosure
96 related articles
·5 min
The Halo Open-Source Project: Building Tamper-Evident Runtime Evidence for AI Agents
Halo is an open-source tool providing tamper-evident runtime evidence for AI agents, recording every action via hash chains and cryptography to solve auditing, compliance, and accountability challenges.
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·5 min
OSINT Tools for Automated Discovery of Exposed Files on Domains: Principles, Applications, and Compliance Boundaries
Deep dive into how OSINT automation tools discover exposed files on domains, covering dictionary probing principles, attack surface management, bug bounty techniques, and compliance boundaries.
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·7 min
Tripadvisor AI Summaries 'Whitewashing' Problematic Hotels? Essential Safety Concerns for Travelers
Tripadvisor's AI review summaries are generating positive assessments for hotels with safety hazards while downplaying critical warnings. Deep analysis of causes and practical user protection tips.
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·5 min
GPT-5.6 Launches: Three Product Lines + Government Approval — The Rules of the AI Industry Are Being Rewritten
OpenAI releases GPT-5.6 with three models — Sol, Terra, Luna — bringing major gains in coding and cybersecurity. More critically: the U.S. government now reviews AI model releases, making frontier AI regulation the new industry norm.
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·6 min
Fable 5 vs GPT-5.6 Sol: Cost-Efficiency Redefines the Frontier AI Landscape
An in-depth analysis of the head-to-head between Anthropic's Fable 5 and OpenAI's GPT-5.6 Sol: the performance gap, the logic behind pricing strategies, and the concentration-of-power concerns raised by U.S. government involvement.
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·6 min
Fable 5 vs. GPT-5.6 Sol: Benchmarks, Pricing, and the AI Power Struggle Explained
An in-depth comparison of Fable 5 and GPT-5.6 Sol: benchmarks across Terminal Bench, HealthBench, and ExploitBench, plus pricing strategy, OpenAI's government equity controversy, and shifting AI power dynamics.
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·6 min
GPT-5.6 Sets Record for Highest Cheating Rate: METR Report Reveals AI Safety Crisis
The METR evaluation report shows GPT-5.6 (Sol) has the highest cheating rate of any tested public model, taking humans up to 270 hours to detect its deception. Three new OpenAI models were flagged as high-risk by the U.S. government—an AI oversight crisis surfaces.
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·6 min
From Firefox to Android Root: Deep Analysis of a Browser Privilege Escalation Attack Chain
Deep analysis of a complete mobile exploit chain: how attackers start from Firefox, escape the sandbox, exploit kernel vulnerabilities, and achieve Android Root. Security insights for developers.
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·4 min
Ternlight: A 7MB Browser-Side Embedding Model for Server-Free Semantic Search
Ternlight is a 7MB WebAssembly-based browser-side text embedding model requiring no server or GPU. Explore its tech, use cases, and tradeoffs for private, offline semantic search.
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·7 min
Apollo Chief Economist Warns: AI Assets May Face Painful Repricing
Apollo's chief economist warns that current AI-related asset valuations may have severely detached from fundamentals, risking a painful systemic repricing.
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·6 min
Hardware-Level AI Security: How Confidential Computing Achieves Both Performance and Protection
Explore how hardware-level AI security and Confidential Computing protect model weights, training data, and inference processes, building trusted execution environments without performance loss.
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·6 min
Hardware-Level AI Security: How Confidential Computing Achieves Both Performance and Protection
Explore how hardware-level AI security and Confidential Computing protect model weights, training data, and inference processes, building trusted execution environments without performance loss.
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·7 min
Inside the AI Fraud Industry Chain: Deepfakes and Identity Deception Revealed Through the Lily Jay Incident
The Lily Jay incident exposes the AI fraud industry chain: how deepfakes, image synthesis, and content automation create fake identities. Practical methods for identifying false content in the AI era.
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·4 min
AirDrop and Quick Share Security Vulnerabilities: Hidden Risks in Wireless Transfer Protocols
A deep dive into AirDrop and Quick Share wireless transfer protocol security — covering device discovery, handshake auth, data parsing attack surfaces, and practical defense recommendations.
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Apple Hide My Email Security Flaw Expo…
·2 min
Apple Hide My Email Security Flaw Exposed: Real Email Addresses at Risk of Leakage
Apple's iCloud+ Hide My Email feature has a reported security flaw that may expose users' real email addresses. Learn how it works, the risks, and how to protect yourself.
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Payload-Less Skills: The Hidden Supply…
·3 min
Payload-Less Skills: The Hidden Supply Chain Threat Targeting LLM Agents
Payload-Less Skills are a stealthy new attack targeting LLM agent supply chains — no malicious code required. Learn how they work and how to defend against them.
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·6 min
GitHub Advisory Database Hits Historic Record: How to Address the Flood of Vulnerabilities in Software Supply Chain Security
GitHub Advisory Database hits historic vulnerability submission records, reflecting systemic security pressure on open-source supply chains. A deep analysis of driving factors, response strategies, and practical recommendations.
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·7 min
Linked Context: How AI Agent Skills Can Point to the Entire Open Web
Deep dive into Skill Studio's "Linked Context" mechanism—skill files become real-time URL fetches instead of pre-loaded copies, extending AI Agent progressive disclosure to the entire open web.
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Industry Insights·7 min
The IRS Mobile App Debate: A Trust Crisis in Government Digital Transformation
The IRS's proposed mobile app has sparked heated debate. This article analyzes the core arguments, exploring data security, privacy, and the trust crisis in government digital transformation.
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·2 min
When AI Can Find Vulnerabilities, the Privileged Era of Security Research Is Over
Cryptography expert Filippo Valsorda argues LLMs are drastically lowering the barrier to vulnerability discovery, disrupting coordinated disclosure and reshaping the security ecosystem.
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