JCMG A.I CyberSecurity Scoring
21/03/2026
Access Monitoring Plan
Access Monitoring Plan
No incidents recorded for John Clark Motor Group in 2026.
No incidents recorded for John Clark Motor Group in 2026.
No incidents recorded for John Clark Motor Group in 2026.
Automotive
Changan Automobile is among Top 4 Chinese automobile groups , with a history of 157 years, Changan Automobile has 35 years’ experience in auto-making. Changan has 16 production bases and 35 vehicle and engine plants globally. In 2014, total production and sales of Changan-branded vehicles exceeded 10 million. Changan’s production and sales volume in 2016 hit 3,000,000 units. By July of 2018, Changan-branded vehicle users have exceeded 17 million. Changan Automobile is committed to building world-class R&D capability. For 5 sessions in the past 10 years, Changan has been NO.1 in R&D capability in China’s automotive industry. Changan has over 12,000 R&D personnel from 18 countries, nearly 600 are senior experts, sitting at the forefront of China’s auto industry. We have built a globally collaborative R&D network with various priorities, connecting the R&D centers in Chongqing, Shanghai and Beijing of China, Turin of Italy, Yokohama of Japan, Nottingham of UK ,Detroit of USA and Munich of Germany. To ensure all products meet customers’ demand of driving for 10 years and 260,000 kilometers, Changan has established product development system and test validation system. In April 2018, Changan unveiled The Third Breakthrough-Innovation and Business Venture Program, with an aim to build a global leading automobile company. With this blueprint, Changan is committed to transforming itself into a leading technology company offering smart mobility solutions and services. The program expects to drive growth by innovation, enhance efficiency as the core competitiveness in organization, transform the company in four key areas and boost innovation in three fields. Changan Automobile has launched a series of classic products including CS series, EADO series, RAETON series and ect. With “hi-tech and trendy, efficient and clean, safe and smart” guiding product design, Changan has been vigorously developing new energy vehicles and intelligent vehicles.
Latest updates, reports, and threat intel affecting the global network.
Scottish firm John Clark Motor Group saw revenue rise last year, but pre-tax profit was squeezed as it battled rising interest rates and a...
Family-owned John Clark Motor Group has acquired Hawco & Sons, which holds Volkswagen Group franchises in Inverness, Elgin and Peterhead.
Jaguar Land Rover has become the latest company to fall victim to a cyber-attack, which is having an impact on production and retail...
John Clark Motor Group has officially opened a new multi-franchise dealership for SEAT, Cupra and Skoda at Broomhill Road, Dundee.
New and used car dealership group Lloyd Motors saw its pre-tax profit fall by 15% last year on turnover that rose by a fifth.
Dealer Management System (DMS) provider Pinewood has beefed up its cyber security after undergoing assessment by the Information Security Assessment Exchange (...
John Clark Motor Group is readying a new Volvo dealership in Edinburgh, Scotland. The new, purpose-built Volvo Cars Edinburgh showroom will...
Dundee Mazda and Volkswagen franchisee Barnetts Motor Group has been purchased by Eastern Western Motor Group's parent firm Eastern Holdings.
DEALER group John Clark has opened a new flagship Mini dealership in Aberdeen. This latest venture means the company now has 23 dealerships...
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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