GGNR A.I CyberSecurity Scoring
01/04/2026
Access Monitoring Plan
Access Monitoring Plan
No incidents recorded for GNR - Guarda Nacional Republicana in 2026.
No incidents recorded for GNR - Guarda Nacional Republicana in 2026.
No incidents recorded for GNR - Guarda Nacional Republicana in 2026.
Public Safety
TÜV SÜD is the trusted partner of choice for safety, security and sustainability solutions. Our community of experts is passionate about technology and united by the belief that technology should better people’s lives. We work alongside our customers to anticipate and capitalize on technological developments. We specialize in testing, certification, auditing, and advisory services for different industries. Since 1866, we have remained committed to our purpose of enabling progress by protecting people, the environment, and assets from technology related risks. Innovation brings sweeping changes and impacts our work and live in countless ways. At TÜV SÜD, we are dedicated to being a part of that progress. By anticipating technological developments and facilitating change, we inspire trust. Going beyond regulatory compliance, we inspire trust in a physical and digital world to create a safer and more sustainable future. We do not just dream about the future; we actively shape it. Through more than 28,000 employees across over 1,000 locations, we add value to customers and partners by enabling market access and managing risks. We never stop challenging ourselves for the safety of people and society as a whole. We breathe technology, we strive for professional excellence, and we leave a mark. #FutureInYourHands #AddValue #InspireTrust Further information is available at www.tuvsud.com TÜV SÜD AG: Board of Management: Patrick Vollmer Ishan Palit Sabine Nitzsche Imprint: https://www.tuvsud.com/en/imprint Data privacy: https://www.tuvsud.com/en/privacy-statement
Neutral, independent third party For more than 150 years, TÜV Rheinland has stood for ensuring quality, safety, and efficiency in conjunction with people, the environment, and technology. As a neutral, independent third party, we test, accompany, develop, promote and certify products, plants, processes and management systems as well as services based on legal requirements and other relevant performance benchmarks and standards. In addition, TÜV Rheinland qualifies specialists and trains people for numerous companies and areas of business and life. Using knowledge meaningfully Our greatest capital is based on over 20,000 clever minds: concentrated knowledge. It is our enormous pool of experience from which the people at TÜV Rheinland create exceptional substance and inspiration for their meaningful work. The results of their work can be discovered everywhere: in tested elevators or rides, on certified toys or technical equipment, in our advice or training. No matter where - our international teams have been setting standards in terms of safety, quality and efficiency for many years.
For 100 years, DEKRA has been a trusted name in safety. Founded in 1925 with the original goal of improving road safety through vehicle inspections, DEKRA has grown to become the world's largest independent, non-listed expert organization in the field of testing, inspection, and certification. Today, as a global partner, the company supports its customers with comprehensive services and solutions to drive safety and sustainability forward—fully aligned with DEKRA’s anniversary motto, "Securing the Future." In 2024, DEKRA generated revenue of 4.3 billion euros. Around 48,000 employees are providing qualified and independent expert services in approximately 60 countries across five continents. DEKRA holds a Platinum rating from EcoVadis, placing it among the top 1% of the world’s most sustainable companies. IMPRINT / PRIVACY STATEMENT: https://www.dekra.com/en/data-protection-social-media/
DNV is the independent expert in risk management and assurance, operating in more than 100 countries. Through its broad experience and deep expertise DNV advances safety and sustainable performance, sets industry benchmarks, and inspires and invents solutions. Whether assessing a new ship design, optimizing the performance of a wind farm, analyzing sensor data from a gas pipeline or certifying a food company’s supply chain, DNV enables its customers and their stakeholders to make critical decisions with confidence. Driven by its purpose, to safeguard life, property, and the environment, DNV helps tackle the challenges and global transformations facing its customers and the world today and is a trusted voice for many of the world’s most successful and forward-thinking companies. DNV uses cookies. For more information, please visit https://www.dnv.com/privacy/change-cookie-settings.html
Latest updates, reports, and threat intel affecting the global network.
A 58-year-old man died in a workplace accident this Saturday afternoon following the collapse of a road in Fátima, Santarém district.
Dify is an open-source LLM app development platform. Prior to 1.16.0, the PUT /console/api/apps/<app_id>/server endpoint in api/controllers/console/app/mcp_server.py used AppMCPServerController.put() to retrieve an AppMCPServer by the client-supplied server ID without verifying that the server belonged to the requested application and tenant. An authenticated workspace member could therefore change another application's MCP server status and parameters, potentially redirecting data or disabling the service. This issue is fixed in version 1.16.0.
vLLM is an inference and serving engine for large language models. Prior to 0.30.0, a caller can use the request-level media_io_kwargs field to select the GLMGA video backend and supply large values for the fps and max_frames options without a strict work ceiling. GLMGA constructs and deduplicates an attacker-sized pre-decode frame-index list, allowing a compact request and tiny valid video to consume disproportionate CPU time and memory in the shared media-loading executor. This issue is fixed in version 0.30.0.
vLLM is an inference and serving engine for large language models. Prior to 0.30.0, the Rust frontend's track_http_metrics middleware records the raw HTTP method token as a Prometheus label for requests reaching registered routes. An unauthenticated attacker can send unique arbitrary method tokens to unguarded routes such as /tokenize, causing Prometheus's Family::get_or_create function to permanently create counter and histogram label sets. Those label sets increase process memory usage and enlarge the /metrics response until the service or monitoring path is exhausted. This issue is fixed in version 0.30.0.
vLLM is an inference and serving engine for large language models. From 0.24.0 until 0.30.0, the Qwen2VLVideoBackend and Qwen3VLVideoBackend classes accept request-level values for the media_io_kwargs.video.max_frames and media_io_kwargs.video.fps fields without enforcing server-side ceilings. An unauthenticated caller can submit these values to the /tokenize endpoint, causing the sampler to decode every frame selected from attacker-controlled video input, consume disproportionate frontend memory, and potentially terminate the API process before scheduling or admission control. The Rust frontend is not affected because it rejects the media_io_kwargs field. This issue is fixed in version 0.30.0.
vLLM is an inference and serving engine for large language models. Prior to 0.30.0, structured-output request failures can escape request-scoped validation and reach the EngineCore fatal-error path. A per-request backend mismatch can re-raise a grammar compilation exception, padding produced by the ngram_gpu speculative-decoding mode can pass a negative token to guidance validation, and the Rust frontend can admit empty structured-output values that the Python frontend rejects, allowing ordinary constrained-generation requests to terminate the shared engine. This issue is fixed in version 0.30.0.
curl -i -X GET 'https://api.rankiteo.com/underwriter-getcompany-history?
linkedin_id=axa' -H 'apikey: YOUR_API_KEY_HERE'
Every week, Rankiteo analyzes billions of signals to give organizations a sharper, faster view of emerging risks. With deeper, more actionable intelligence at their fingertips, security teams can outpace threat actors, respond instantly to Zero-Day attacks, and dramatically shrink their risk exposure window.
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