Gravity Flow A.I CyberSecurity Scoring
20/01/2026
Access Monitoring Plan
Access Monitoring Plan
No incidents recorded for Gravity Flow in 2026.
No incidents recorded for Gravity Flow in 2026.
No incidents recorded for Gravity Flow in 2026.
We're a global technology group focused on innovation and collaboration to create a better future for all. Since 1976, we've been pioneering new technologies and expanding our reach to more people and places. Today, we provide services to over 163 million customers across 16 countries in the Middle East, Asia, and Africa through our telecom brands under e& international and e& UAE. We're committed to driving the digital future to empower societies and help businesses and governments create a smarter, safer, and more sustainable world through all our business verticals including e& enterprise, e& life, and e& capital. Our goal is to empower people, communities, and societies worldwide to achieve more.
As the world’s leading local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ countries worldwide, powered by tech but driven by people. As one of Europe’s largest tech platforms, we enable ambitious talent to deliver solutions that create impact within our ecosystem. We move fast, take action, and adapt. No matter where you’re from or what you believe in, we build, we deliver, we lead. We are Delivery Hero.
Everforth, Inc. (NYSE: EFOR) is a leading technology and digital engineering company that helps organizations adapt, innovate, and thrive in a world of constant change. Our six solution areas — AI and data, cloud and infrastructure, application and digital engineering, experience, cybersecurity, and enterprise platforms — accelerate time to value for our commercial and federal clients. Powered by proprietary assets, accelerators, and proven expertise, Everforth turns complexity into progress and delivers measurable outcomes. Everforth: Adapt and Thrive™.
Avnet is a global electronic components distributor with extensive design, product, marketing and supply chain expertise for customers and suppliers at every stage of the product lifecycle. For the past 100 years, Avnet has helped its customers and suppliers around the world realize the transformative possibilities of technology. Our culture was founded on new ideas and emerging technology. Headquartered in Phoenix, Arizona, Avnet is a leading global technology distributor and solutions provider at the center of the technology value chain. Founded in 1921, we work with suppliers in every major technology segment to serve customers worldwide across a broad range of markets. Whether working on large-scale production or early prototypes, we meet customer needs through individualized, end-to-end service to streamline solutions and improve efficiency for customers worldwide. We serve more than 1 million customers in more than 140 countries and partner with global suppliers from almost every technology segment. Learn more about Avnet at www.avnet.com.
La etimología de la palabra deriva del término medieval inglés usado para un mercenario (free-independiente o lance-lanza), es decir, un caballero que no servía a ningún señor en concreto y cuyos servicios podían ser alquilados por cualquiera. El término fue acuñado inicialmente por Sir Walter Scott (1771-1832) en su reconocido romance histórico Ivanhoe para describir a un "guerrero medieval mercenario". La frase en inglés luego hizo la transición a un sustantivo figurativo alrededor de 1860 y fue luego reconocido como un verbo oficialmente en 1903 por varias autoridades en lingüística tales como el Diccionario Oxford de Inglés. Solamente en tiempos modernos ha mutado el término de un sustantivo (un freelance o un freelancer) y un adverbio (un periodista que trabaja freelance). Esta palabra es empleada como anglicismo en castellano como dos palabras separadas "free lance" (del inglés) o autónomo pero no tiene aplicación como verbo. Fuente: Wikipedia. https://es.wikipedia.org/wiki/Freelance Acerca de Independiente / Freelance Somos una de las comunidades de habla hispana más grandes en LinkedIn para profesionales que eligen trabajar de forma independiente. Un espacio para conectar, compartir recursos y encontrar oportunidades. Publicaciones para Empresas y Reclutadores. Para publicar una búsqueda de talento, por favor envíe los detalles de la oferta a: [email protected] El proceso es simple y asincrónico.
IndiaMART is India's largest online B2B marketplace, connecting buyers with suppliers across a wide array of industries. IndiaMART provides a platform for Small & Medium Enterprises (SMEs), large enterprises, and individual buyers, helping them access diverse portfolios of quality products. Since 1999, IndiaMART’s mission has been to make doing business easy. Today, over 21.9 Crore buyers can explore and choose from 12.4 Crore products, sourced from 86 Lakh suppliers, creating a one-stop platform for all business needs. IndiaMART offers enhanced business visibility and credibility for suppliers, with tools designed to support business growth and operational efficiency. With a dedicated workforce of over 5000 employees across India, IndiaMART continues to facilitate seamless connections and provide a trusted marketplace for businesses to thrive.
Booking Holdings is the world’s leading provider of online travel & related services, provided to consumers and local partners in more than 220 countries and territories through six primary consumer-facing brands: Booking.com, Priceline, Agoda, Rentalcars.com, KAYAK and OpenTable. Collectively, Booking Holdings operates in more than 40 languages across Europe, North America, South America, the Asia-Pacific region, the Middle East and Africa. The mission of Booking Holdings is to make it easier for everyone to experience the world.
At Lenskart, we believe that clear vision is fundamental to the personal development and well-being of an individual, and our aim is to build tech-enabled solutions that improve access to affordable and quality ‘Eyewear for All’. We commenced our operations in India as an online business in 2010 and opened our first retail store in New Delhi in 2013. Since then, we have scaled through both the online and offline channels and have established a presence through our retail stores, websites, mobile applications, and other channels.
Prosus is the power behind the world’s leading lifestyle e-commerce brands. Bringing together bold ideas and the power of AI, Prosus builds technology ecosystems where lifestyle ecommerce brands can become global success stories. These ecosystems span three core geographies – Europe, Latin America and India. In these geographies, Prosus simplifies the often-fragmented experience for consumer buyers and sellers, providing an integrated and frictionless approach that helps billions of consumers to buy, sell and transact through food, Fintech, experiences and commerce platforms
Latest updates, reports, and threat intel affecting the global network.
Despite Cos d'Estournel having such high regard among Bordeaux wine connoisseurs, the current owner, Michel Reybier, with respect to 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'
Every week, Rankiteo analyzes billions of signals to give organizations a sharper, faster view of emerging risks. With deeper, more actionable intelligence at their fingertips, security teams can outpace threat actors, respond instantly to Zero-Day attacks, and dramatically shrink their risk exposure window.
Rankiteo is a unified scoring and risk platform that analyzes billions of signals weekly to help organizations gain faster, more actionable insights into emerging threats. Empowering teams to outpace adversaries and reduce exposure.