MRC A.I CyberSecurity Scoring
03/12/2025
Access Monitoring Plan
Access Monitoring Plan
No incidents recorded for Medical Research Council in 2026.
No incidents recorded for Medical Research Council in 2026.
No incidents recorded for Medical Research Council in 2026.
Imagine what you could do at a world-leading university that is globally recognised for its teaching, research and innovation. The University of Edinburgh has been providing students with world-class teaching for more than 425 years, unlocking the potential of some of the world's leading thinkers since 1583. Choose to study with us and you will be investing in an education that will help you build a successful future.
At Utrecht University (UU), we are working towards a better world. We do this by researching complex issues beyond the borders of disciplines. We put thinkers in contact with doers, so new insights can be applied. We give students the space to develop themselves. In so doing, we make substantial contributions to society, both now and in the future.
Los Alamos National Laboratory is one of the world’s most innovative multidisciplinary research institutions. We're engaged in strategic science on behalf of national security to ensure the safety and reliability of the U.S. nuclear stockpile. Our workforce specializes in a wide range of progressive science, technology and engineering across many exciting fields, including space exploration, geophysics, renewable energy, supercomputing, medicine and nanotechnology.
The Chinese Academy of Sciences (CAS) is the lead national scientific institution in natural sciences and high technology development in China and the country's supreme scientific advisory body. It incorporates three major parts: a comprehensive research and development network consisting of 104 research institutes, a traditional merit-based national academy as represented by its Academic Divisions and a system of higher education based on its affiliated 3 universities and the support of its research institutes. CAS has served as the major national strategic research force since founding in November 1949 and has left its deep footprints in Chinese S&T and the overall development of China's national innovation system.
Our university combines top-class facilities for cutting-edge research with unique learning opportunities for 52,000 students. Whether our researchers are investigating the origins of life, matter and the universe or looking for solutions to the major challenges for our society, people lie at the heart of our research and innovation agenda. Our goal is to create lasting value for society through excellence in education and research, the active promotion of next-generation talents and a strong entrepreneurial spirit. All of which combine to make TUM one of Europe’s leading universities. | Imprint: http://www.tum.de/legal-notice
The University of Amsterdam is one of the largest comprehensive universities in Europe. With some 44,000 students, 6,000 staff, 3,000 PhD candidates, and an annual budget of more than 850 million euros, it is also one of Amsterdam’s biggest employers. There is an inseparable link between the university and its host city. The freedom and creativity with which Amsterdam has long been associated have worked their way into the fabric of the university. This is a place where individuality, authenticity and diversity are celebrated as sources of stimulation, inspiration and innovation. Professional and personal development, challenges and collaboration are undertaken in a versatile and multidimensional (inter)national ecosystem with leading stakeholders. Staff at the UvA make a meaningful contribution to uncovering solutions to some of the world’s most significant problems and to developing the next generation of talent.
The PPD™ clinical research business of Thermo Fisher Scientific, the world leader in serving science, enables customers to accelerate innovation and drug development through patient-centered strategies and data analytics. Our services, which span multiple therapeutic areas, include early development, all phases of clinical development, peri- and post-approval, patient recruitment, investigator sites and comprehensive laboratory services. As a global industry leader, we offer custom solutions to pharma, biotech, medical device, and government organizations, leveraging cutting-edge technology and therapeutic expertise to help customers deliver life-changing therapies.
The CEA is the French Alternative Energies and Atomic Energy Commission ("Commissariat à l'énergie atomique et aux énergies alternatives"). It is a public body established in October 1945 by General de Gaulle. A leader in research, development and innovation, the CEA mission statement has two main objectives: To become the leading technological research organization in Europe and to ensure that the nuclear deterrent remains effective in the future. The CEA is active in four main areas: low-carbon energies, defense and security, information technologies and health technologies. In each of these fields, the CEA maintains a cross-disciplinary culture of engineers and researchers, building on the synergies between fundamental and technological research. The civilian programs of the CEA received 49% of their funding from the French government, and 30% from external sources (partner companies and the European Union). The CEA had a budget of 4,3 billion euros. The CEA is based in ten research centers in France, each specializing in specific fields. The laboratories are located in the Paris region, the Rhône-Alpes, the Rhône valley, the Provence-Alpes-Côte d'Azur region, Aquitaine, Central France and Burgundy. The CEA benefits from the strong regional identities of these laboratories and the partnerships forged with other research centers, local authorities and universities.
Politecnico Milano is a scientific-technological university which trains engineers, architects and designers. The University has always focused on the quality and innovation of its teaching and research, developing a fruitful relationship with business and productive world by means of experimental research and technological transfer. Research has always been linked to didactics and is a priority commitment which has allowed Politecnico Milano to achieve high quality results at an international level as to join the university to the business world. Research constitutes a parallel path to that formed by cooperation and alliances with the industrial system. Knowing the world in which you are going to work is a vital requirement for training students. By referring back to the needs of the industrial world and public administration, research is facilitated in following new paths and dealing with the need for constant and rapid innovation. The alliance with the industrial world, also favored by Fondazione Politecnico and by consortiums to which Politecnico belongs, allows the university to follow the vocation of the territories in which it operates and to be a stimulus for their development. The challenge which is being met today projects this tradition which is strongly rooted in the territory beyond the borders of the country, in a relationship which is developing first of all at the European level with the objective of contributing to the creation of a single professional training market. Politecnico takes part in several research, sites and training projects collaborating with the most qualified European universities. Politecnico's contribution is increasingly being extended to other countries: from North America to Southeast Asia to Eastern Europe. Today the drive to internationalization sees Politecnico take part in the European and world network of leading technical universities and offers several beside many which are entirely taught in English.
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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'
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