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All Changes

EU Regulatory Changes

4608 changes tracked across 24 compliance frameworks including DORA, NIS2, GDPR, EU AI Act, Cyber Resilience Act, and more.

All DORA NIS2 GDPR CSRD MaRisk ISO27001 EU_AI_ACT CRA DSA DMA eIDAS2 SOC2 PCI_DSS HIPAA ISO42001 AMLD6 PSD3 DATA_ACT GPSR CER EUDR CVE BREACH AI_SAFETY
Ransomware: worldleaks claims Service IT (BR) — Business Services
CVE-2026-50195 (CVSS 9.9) — containerd is an open-source container runtime. Versions prior to 2.3.2, 2.2.5 and 2.1.9 ...
CVE-2026-53492 (CVSS 9.6) — containerd is an open-source container runtime. In Versions prior to 2.3.2, 2.2.5 and 2.1...
CVE-2026-58455 (CVSS 9.8) — Dockwatch through 0.6.567 contains an unauthenticated OS command injection vulnerability ...
CVE-2026-58466 (CVSS 9.8) — AutoBangumi before 3.2.8 contains a hard-coded default credentials vulnerability that all...
CVE-2026-59099 (CVSS 9.1) — Apereo CAS 7.3.0 before 8.0.0-RC6 contains a cryptographic vulnerability that allows remo...
CVE-2026-41106 (CVSS 9.3) — Url redirection to untrusted site ('open redirect') in M365 Copilot allows an unauthorize...
CVE-2026-45499 (CVSS 9.9) — Server-side request forgery (ssrf) in Azure OpenAI allows an authorized attacker to eleva...
CVE-2026-57100 (CVSS 9.9) — Server-side request forgery (ssrf) in Microsoft Entra Provisioning Service (SyncFabric) a...
CELEX:32023R1115R(05)
arXiv: The Rise and Fall of Google's Privacy Sandbox
A new academic paper published on arXiv, titled "The Rise and Fall of Google's Privacy Sandbox," provides a critical retrospective analysis of Google's initiative to phase out third-party cookies i...
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arXiv: High-Performance NTT Accelerators for PQC leveraging Unified Redundant Arithmetic and Fine-Tuned Microarchitec...
This publication from arXiv, dated July 1, 2026, presents a technical paper detailing new hardware accelerators for Post-Quantum Cryptography (PQC). The paper describes a method to significantly sp...
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arXiv: Safe Alone, Unsafe Together: Safeguarding Against Implicit Toxicity When Benign Images Combine
This publication, a pre-print from arXiv dated July 2026, presents a novel vulnerability in multimodal AI systems. It demonstrates that individual benign images, when processed together by a model,...
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arXiv: HARC: Coupling Harmfulness and Refusal Directions for Robust Safety Alignment
This paper, published on arXiv, introduces a new technical framework called HARC, which addresses a critical vulnerability in large language models (LLMs). The research demonstrates that current sa...
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arXiv: Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks
A new preprint from arXiv, published on July 1, 2026, presents research demonstrating that lightweight intrusion detection models used in Industrial Internet of Things (IIoT) networks suffer from s...
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arXiv: Beyond the Prompt: Jailbreaking Function-Calling LLMs via Simulated Moderation Traces
This paper, published on arXiv, details a novel vulnerability in large language models (LLMs) that use function-calling capabilities. The research demonstrates that attackers can bypass safety guar...
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arXiv: Minos: A Multi-Agent Collaborative Framework for Provenance-Based Backward Tracking
A new research paper titled "Minos: A Multi-Agent Collaborative Framework for Provenance-Based Backward Tracking" has been published on arXiv, proposing a technical framework for tracing the origin...
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arXiv: KidnapRAG: A Black-Box Attack for Hijacking Reasoning in Agentic Retrieval-Augmented Generation Systems
A new research paper, KidnapRAG, published on arXiv, details a novel black-box attack targeting agentic Retrieval-Augmented Generation (RAG) systems. This attack demonstrates how malicious actors c...
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arXiv: A Penny for Your Prompts: Experiments Detecting and Mitigating LLM Usage by Survey Respondents
This publication from July 2026, titled "A Penny for Your Prompts," presents new research on detecting and mitigating the use of large language models (LLMs) by survey respondents. While not a regu...
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arXiv: SoK: Attack and Defense Landscape of Mobile On-device AI Systems
This publication is a systematic academic review, not a regulatory change. It surveys the security and privacy vulnerabilities of on-device AI systems, such as those running on smartphones, wearabl...
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