EE A.I CyberSecurity Scoring
21/03/2026
Access Monitoring Plan
Access Monitoring Plan
No incidents recorded for EL+ENERGI & ELFOKUS.dk in 2026.
No incidents recorded for EL+ENERGI & ELFOKUS.dk in 2026.
No incidents recorded for EL+ENERGI & ELFOKUS.dk in 2026.
Bertelsmann ist ein Medien-, Dienstleistungs- und Bildungsunternehmen mit rund 75.000 Mitarbeitenden, das in gut 50 Ländern der Welt aktiv ist. Zum Konzernverbund gehören das Entertainment-Unternehmen RTL Group, die Buchverlagsgruppe Penguin Random House, das Musikunternehmen BMG, der Dienstleister Arvato Group, Bertelsmann Marketing Services, die Bertelsmann Education Group sowie das internationale Fondsnetzwerk Bertelsmann Investments. Das Unternehmen erzielte im Geschäftsjahr 2024 einen Umsatz von 19 Mrd. Euro. Bertelsmann steht für Kreativität und Unternehmertum. Diese Kombination ermöglicht erstklassige Medienangebote und innovative Servicelösungen, die Kunden in aller Welt begeistern. www.bertelsmann.com
A freelancer or freelance worker is a term commonly used for a person who is self-employed and is not necessarily committed to a particular employer long-term. Freelance workers are sometimes represented by a company or a temporary agency that resells freelance labor to clients; others work independently or use professional associations or websites to get work. While the term "independent contractor" would be used in a higher register of English to designate the tax and employment class of this type of worker, the term freelancing is most common in culture and creative industries and this term specifically motions to participation therein. Fields, professions and industries where freelancing is predominant include music, writing, acting, computer programming, web design, translating and illustrating, and other forms of piece work which some cultural theorists consider as central to the cognitive-cultural economy.
Latest updates, reports, and threat intel affecting the global network.
A core theme in El-Mor's development approach is technology flexibility. The projects are permitted on an equipment-agnostic basis, allowing an...
DEME incorporates the Norse Energi vessel to install large-scale wind turbines in European offshore projects from 2026.
Vast battery units are shoring up grids and extending the use of clean power.
Find out what the Draghi Report is, what its key points are, how it affects the energy sector and its proposals for a real competitiveness for the EU-27.
The hybrid model optimises energy management day and night, providing operational agility and maximising resource use. . Korra Energi Signs...
The Norwegian energy landscape is invigorated by a new Vår Energi discovery in the Norwegian Sea. Norwegian Sea. The Vidsyn exploration well...
The strait is deep enough and wide enough to handle the world's largest crude oil tankers, and it is one of the world's most important oil chokepoints.
The IEA has been at the heart of international energy security for 50 years – helping avoid, mitigate and manage energy supply disruptions...
Vår Energi has confirmed an oil discovery at the Countach well, located near the Goliat field in the Barents Sea.
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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