MINI UK A.I CyberSecurity Scoring
14/11/2025
Access Monitoring Plan
Access Monitoring Plan
No incidents recorded for MINI UK in 2026.
No incidents recorded for MINI UK in 2026.
No incidents recorded for MINI UK in 2026.
Li Auto Inc. is a leader in China's new energy vehicle market. The Company designs, develops, manufactures, and sells premium smart electric vehicles. Its mission is: Create a Mobile Home, Create Happiness (创造移动的家,创造幸福的家). Through innovations in product, technology, and business model, the Company provides families with safe, convenient, and comfortable products and services. Li Auto is a pioneer in successfully commercializing extended-range electric vehicles in China. While firmly advancing along this technological route, it builds platforms for battery electric vehicles in parallel. The Company leverages technology to create value for users. It concentrates its in-house development efforts on proprietary range extension systems, innovative electric vehicle technologies, and smart vehicle solutions. The Company started volume production in November 2019. Its current model lineup includes Li MEGA, a high-tech flagship family MPV, Li L9, a six-seat flagship family SUV, Li L8, a six-seat premium family SUV, Li L7, a five-seat flagship family SUV, and Li L6, a five-seat premium family SUV. The Company will continue to expand its product lineup to target a broader user base.
At the forefront of shaping mobility for over eight decades, driven by a legacy of innovation and an unwavering commitment to excellence. We fuse next-generation technologies with operational precision and continuous value creation — across every vehicle and process. But what truly sets us apart is our purpose: transforming lives, empowering communities, and building next-gen mobility solutions. Smart tech. Safer mobility. Greener journeys — creating a cleaner, more connected world and shaping a better future.
#WeAreProgress ++ Progress is in our DNA. It’s not just in our cars, but also in us. The focus at Audi is on us – the people – and we are shaping the future of mobility together. With our inner drive. With the aim to continuously improve. With our mindset, courage and confidence. Because progress develops in the mind – and in the heart! Learn more about how we are progress: https://lnkd.in/dKyUjig Impressum: https://www.audi.com/en/legal.html Legal notice: https://www.audi.com/en/legal-notice.html Privacy Policy for Recruiting activities: Datenschutzhinweis (DE): https://karriere.audi.de/sap/bc/bsp/sap/z_hcmx_ui_ext/commons/resources/downloads/Datenschutzhinweis.pdf Data protection note (EN): https://karriere.audi.de/sap/bc/bsp/sap/z_hcmx_ui_ext/commons/resources/downloads/PrivacyPolicy.pdf Community Management: Audi Interaction GmbH (https://www.audiinteraction.com/)
Volvo Trucks supplies complete transport solutions for discerning professional customers with its full range of medium- and heavy-duty trucks. Customer support is provided via a global network of dealers with 2,200 service points in about 130 countries. Volvo trucks are assembled in 12 countries across the globe. In 2024 approximately 134,000 Volvo trucks were delivered worldwide. Volvo Trucks is part of the Volvo Group, one of the world’s leading manufacturers of trucks, buses, construction equipment and marine and industrial engines. The group also provides complete solutions for financing and service. Volvo Trucks’ work is based on the core values of quality, safety and environmental care.
Visteon is advancing mobility through innovative technology solutions that enable a software-defined and electric future. With next-generation digital cockpit and electrification products, Visteon leverages the strength and agility of its global network with a local footprint to deliver a cleaner, safer and more connected vehicle experience. Headquartered in Van Buren Township, Michigan, Visteon operates in 17 countries worldwide, recorded approximately $3.76 billion in annual sales and booked $6 billion of new business in 2022.
Maruti Suzuki was established with a dream to provide the 'Joy of Mobility' in the early 1980s. With a humble start of manufacturing about 20,000 cars in a year, the Company has grown leaps and bounds, manufacturing close to 2 million cars a year in FY 2022-23. Over the last four decades, the Company has served over 27 million happy customers in India and around 100 countries of the world. It maintained its market leadership in India throughout–reflecting the Company’s obsession with creating customer delight and demonstrating its agility to adapt to the changing times. This was possible by leveraging the unique ability of Suzuki Motor Corporation (parent company) to design feature-rich, safer, environment-friendly products, delivering world-class quality at an affordable price. In FY 2023-24, Maruti Suzuki embarked on an ambitious path in terms of manufacturing scale, while simultaneously transiting towards a low-carbon path. This marks a new phase for the Company.
Nissan Motor Corporation is a global car manufacturer that sells a full line of vehicles under the Nissan and INFINITI brands. Nissan’s global headquarters in Yokohama, Japan, manages operations in four regions: Japan-ASEAN, China, Americas, and AMIEO (Africa, Middle East, India, Europe & Oceania). For more information about our products, services and commitment to sustainable mobility, visit nissan-global.com. You can also follow us on Facebook, Instagram, Twitter and LinkedIn and see all our latest videos on YouTube.
Marelli is a global, independent technology partner to the automotive industry, with a strong and established track record in innovation and manufacturing excellence. As mobility is evolving fast and global trends drive unprecedented innovation, we leverage our expertise in integrating software and hardware to position ourselves as key enablers of the Software Defined Vehicle. Our Netiquette: Welcome to the Marelli LinkedIn page! On this LinkedIn Page, Marelli will share the most important news about its technological innovations, Corporate and Motorsport activities, using different kinds of media contents. Each user can participate and share his point of view. The comments are monitored and moderated following specific guidelines that we want to share with you, in order to establish an open and clear relationship with our fanbase. The administrators will participate in the conversations of the community – when the number of interactions allows them to do it – and they’ll respond to the questions of the users, only if these questions are not direct competence of the Marelli Customer Service. We reserve the right to remove comments that: - are not pertinent to the posts of the page; - consist in a violation of user’s privacy (ex. to share a user’s telephone number); - have vulgar, offensive or sexual content; - have the purpose to intimidate or discredit other people, institutions and religions; - violate any user’s rights; - promote illegal activities; - promote products, events or commercial services, even if they’re not direct competitors of Marelli; - have a political, ideological or religious content. In case of disagree among users or between users and administrators of the page, we invite all the members of the community to debate and contribute with respect for all the opinions, following the aim of the page itself. Every user assumes the full responsibility for all the content that he shares on the Marelli LinkedIn page.
DENSO is one of the world's largest automotive suppliers with a 75-year history of providing advanced automotive systems and technology to automakers worldwide. While our products are featured on nearly every vehicle make and model on the road today, we're also looking to innovate beyond automotive so we can maximize how we support the evolving needs of society. Globally, we have 158,000 employees, including 27,000+ in North America, working together every day to pursue our Two Great Causes: Green -- which represents our goal of achieving carbon neutrality by 2035 through our products, processes and facilities; and Peace of Mind -- which focuses on developing solutions for safer and more seamless experiences across society. Together, they help us pursue our mission of contributing to a better world.
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vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, the fix for CVE-2026-22778, which introduced a sanitize_message helper that strips object-repr memory addresses from error messages before they reach the client, is incomplete: several response paths echo str(exc) directly to clients without calling sanitize_message. The unsanitized sites include the Anthropic API router in vllm/entrypoints/anthropic/api_router.py (the POST /v1/messages and POST /v1/messages/count_tokens handlers), the Server-Sent Events streaming converter in vllm/entrypoints/anthropic/serving.py, and the realtime speech-to-text WebSocket in vllm/entrypoints/speech_to_text/realtime/connection.py. These paths catch the exception inside the route coroutine and construct the JSONResponse themselves, bypassing the sanitizing global FastAPI exception handler, and WebSocket frames do not traverse that handler chain at all. Using the same primitive as the parent issue, an unauthenticated attacker can send malformed image bytes through the Anthropic Messages API image content parts so that PIL.Image.open raises an UnidentifiedImageError whose message contains the BytesIO object repr, leaking the heap memory address verbatim in the error.message field of the response body. This vulnerability is fixed in 0.23.1rc0.
vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, ll temperature validation gates use comparison operators (<, >), which silently evaluate to False for NaN and for positive Infinity in Python's IEEE 754 float semantics. Both values pass every guard and propagate to GPU sampling kernels, where they produce undefined behavior or CUDA errors that can crash the inference worker. This vulnerability is fixed in 0.23.1rc0.
vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, vLLM's /v1/audio/transcriptions endpoint limits compressed upload size but not decoded PCM output. A 25MB OPUS file expands to ~14.9GB of float32 PCM at decode time. This vulnerability is fixed in 0.23.1rc0.
vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.22.1, the vLLM Dockerfile is vulnerable to a dependency confusion attack through the flashinfer-jit-cache package. The package is installed from a custom index (flashinfer.ai/whl/) using --extra-index-url, but the package name was not registered on PyPI, and UV_INDEX_STRATEGY="unsafe-best-match" is set globally. An attacker who registers flashinfer-jit-cache on PyPI with version 0.6.11.post2 can execute arbitrary code as root during the Docker build and backdoor every resulting container image, enabling exfiltration of all user prompts, API credentials, and model data from production vLLM deployments This vulnerability is fixed in 0.22.1.
vLLM is an inference and serving engine for large language models (LLMs). From 0.5.5 until 0.23.1rc0, integer truncation of tensor dimensions in vLLM's GGUF dequantize kernels (csrc/quantization/gguf/gguf_kernel.cu) causes partial tensor processing. The output tensor is allocated at full size via torch::empty (uninitialized memory), but the dequantize CUDA kernel processes only a truncated number of elements. The unfilled portion of the output tensor retains whatever was previously in GPU memory. In multi-tenant inference deployments, this residual GPU memory may contain tensor data from other users' inference requests, constituting information disclosure. This vulnerability is fixed in 0.23.1rc0.
curl -i -X GET 'https://api.rankiteo.com/underwriter-getcompany-history?
linkedin_id=axa' -H 'apikey: YOUR_API_KEY_HERE'
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