Cabka A.I CyberSecurity Scoring
20/03/2026
Access Monitoring Plan
Access Monitoring Plan
Cabka has 0.0% fewer incidents than the average of same-industry companies with at least one recorded incident.
Cabka has 5.66% fewer incidents than the average of all companies with at least one recorded incident.
Cabka reported 1 incidents this year: 1 cyber attacks, 0 ransomware, 0 vulnerabilities, 0 data breaches, compared to industry peers with at least 1 incident.
Packaging and Containers Manufacturing
We’re here to make food safe and available. It’s why we provide advanced food production systems, from product creation and recipe testing to processing, filling, packaging, logistics, services and beyond. We support almost every food and beverage category with tailored solutions for category-specific needs. In collaboration with our customers and suppliers, driven by more than 24,000 dedicated employees worldwide, we protect food sustainably every day for hundreds of millions of people in more than 160 countries. Because we’re here to fulfil a purpose: We commit to making food safe and available, everywhere, and we promise to protect what’s good: food, people and the planet. LinkedIn Community Guidelines for Tetra Pak As part of our commitment to you we will endeavour to ensure that the content on this page is positive and respectful. In doing so we ask that you respect our LinkedIn page guidelines. These guidelines also apply to all company spokespeople. While we welcome any posts and comments, it’s important to note that postings to the Tetra Pak LinkedIn page, from other users, are not representative of the opinions of Tetra Pak, therefore do we not confirm their accuracy. Since we can't monitor every posting or conversation, we realise that the occasional objectionable post will pop up from time to time. We therefore reserve the right to remove posts or comments that are: - Abusive, defamatory, obscene, or offensive - Fraudulent, deceptive, misleading, or unlawful - Hateful in language targeting race/ethnicity, religion, gender, nationality, or political beliefs - In violation of any intellectual property right - Sales pitches or commercial solicitation - Not being relevant to the topic or content in the post that has been published - Spamming or link baiting
Graphic Packaging Holding Company (NYSE: GPK), headquartered in Atlanta, Georgia, designs and produces consumer packaging, made primarily from renewable or recycled materials. An industry leader in innovation, the Company is committed to reducing the environmental footprint of consumer packaging. Graphic Packaging operates a global network of design and manufacturing facilities serving the world's most widely recognized brands in food, beverage, foodservice, household, and other consumer products.
As a global leader in packaging solutions for consumer and healthcare products, our industry-leading innovation capabilities, global scale and technical expertise help our customers grow and meet the needs of millions of consumers every day. We accelerate the possible by redefining what can be done, constantly anticipating what our customers will need next, rethinking what is scientifically feasible and always helping our customers find the right solution to their challenges. Social Media Community Guidelines Thank you for being part of our online community and contributing to our discussions by sharing your voice. We’re happy to have you here and are committed to fostering a welcoming, respectful and engaging community. We encourage open conversation and do not pre-screen or moderate comments or messages before they are posted. However, we reserve the right to remove content that violates our community guidelines outlined below. - Off-topic or clearly misrepresents Amcor - Includes hate speech, discriminatory remarks or any attacks based on someone’s race, ethnicity, gender, religion, nationality or other personal characteristics - Misleading or deceptive content that promotes fraud or false information - Irrelevant to the conversation, including spam, promotional or trolling - Potentially violates copyright laws and/or any form of intellectual property rights - We appreciate your cooperation in maintaining a positive space for all. Thank you for helping us create a positive and respectful community.
Sealed Air is in business to protect, to solve critical packaging challenges, and to make our world better than we find it. Our automated packaging solutions promote a safer, more resilient, and less wasteful global food, fluids and liquids supply chain, enable e-commerce, and protect goods in transit from damage. Our globally recognized solution brands include CRYOVAC® food packaging, LIQUIBOX® fluids and liquids systems, SEALED AIR® protective packaging, AUTOBAG® automated packaging systems, BUBBLE WRAP® packaging, SEE Automation™ and prismiq™ digital packaging and printing. Our partnership with customers creates value through sustainable, automated, and digital packaging solutions, leveraging our industry-leading expertise in materials, automation systems, engineering and technology. In 2024, Sealed Air generated $5.4 billion in sales and has approximately 16,400 employees who serve customers in 117 countries/territories. To learn more, visit sealedair.com.
We are a global materials science and digital identification solutions company with locations in over 50 countries, and approximately 35,000 employees worldwide. We are Making Possible™ products and solutions that provide branding and information solutions that optimize labor and supply chain efficiency, reduce waste, advance sustainability, circularity and transparency, and better connect brands and consumers. We design and develop labeling and functional materials, radio frequency identification (RFID) inlays and tags, software applications that connect the physical and digital, and offerings that carry information that improves the customer experience. We lead in serving an array of industries worldwide — including home and personal care, apparel, general retail, e-commerce, logistics, food and grocery, pharmaceuticals and automotive.
Latest updates, reports, and threat intel affecting the global network.
Amsterdam 4 March 2026. Cabka N.V. (together with its subsidiaries “Cabka”, or the “Company”), specialized in transforming hard to recycle...
Cabka N.V., specializing in transforming plastic waste into reusable transport packaging, has detected a cybersecurity incident affecting...
Amsterdam 4 March 2026. Cabka N.V. (together with its subsidiaries “Cabka”, or the “Company”), specialized in transforming hard to recycle...
DSC2 intends to enter into a Business Combination (also called De-SPACing) with Cabka Group GmbH; an EGM, in which shareholders will vote to approve the...
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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