RH A.I CyberSecurity Scoring
17/03/2026
Access Monitoring Plan
Access Monitoring Plan
No incidents recorded for RH in 2026.
No incidents recorded for RH in 2026.
No incidents recorded for RH in 2026.
Design Services
HDR is an employee-owned design firm specializing in engineering, architecture, environmental and construction services. We’re ranked No. 6 among the world’s design firms and we’re the largest healthcare design firm. Led by the strength of our values and a culture shaped by employee ownership, we network with each other, build on each other’s contributions, and collaborate together to make great things possible. When you join HDR, we give you license to do the same. We help you take charge of your career, giving you multiple growth opportunities along the way. So, what are you waiting for? Come grow with us.
Dar is one of the world’s leading consultancies, providing design, planning, engineering, sustainability consulting, digital solutions and services, project management, and facilities management for buildings, cities, transportation, civil infrastructure, water, and the environment. We are a global community of talented and innovative engineers, planners, economists, architects, sustainability specialists, digital experts, designers, project management specialists, construction management professionals, and multidisciplinary experts. Together, we take on the world’s most exciting and ambitious projects in order to nurture sustainable development, empower and connect communities, create more and better opportunities, and enhance lives. Dar has over 10,000 professionals in 60 offices across the Middle East, Africa, Asia, UK, and Europe. Collectively, our teams have delivered over 4,500 projects, worth more than US$540 billion, for more than 950 clients around the world. Dar is the founding member of Sidara, a global collective of the world’s brightest and best planners, designers, engineers, and consultants who have come together on a shared mission: to advocate for the world as we would for our own home. For us, that means taking on projects with courage and resilience, bravely setting up a home where others won’t go, intertwining ourselves with the communities we create for, and navigating immense complexity and ambiguity to empower our clients, craft solutions for the world’s most critical challenges, and deliver projects that elevate how people live, connect communities, and inspire global impact, all while showcasing and honoring the unique cultures we serve. Dar and its sister companies under the Sidara Collaborative can offer a broad and integrated range of highly specialised and world-class services—from architecture and design, engineering, and project management to digital strategy, sustainability consulting, and energy innovation - under one umbrella.
Latest updates, reports, and threat intel affecting the global network.
PRNewswire/ -- The Retail & Hospitality Information Sharing and Analysis Center (RH-ISAC) has announced the keynote speakers for its annual...
Broadcom shares sink as China bans cybersecurity software from U.S. and Israeli companies. Mizuho still sees AVGO stock as worth owning in...
As workers take family time and consumers race for Black Friday discounts, hackers gain an advantage to penetrate vulnerable corporate...
Rising fraud and automated attacks are set to challenge retailers, hotels, and travel companies during the busiest shopping and travel weeks...
Three employees at cybersecurity companies spent years moonlighting as criminal hackers, launching their own ransomware attacks in a plot to...
Dispute over alleged “copy-paste” language sparks debate on originality in cybersecurity competitions.
Three major providers of cybersecurity solutions have decided not to take part in the 2025 edition of MITRE's annual endpoint detection and...
The cyberthreat intel-sharing and collaboration group RH-ISAC is helping companies confront cyberattacks. But the challenge is delivering...
Retail Gets Real episode 390: How cybersecurity has moved far beyond a technical issue.
Dify is an open-source LLM app development platform. Prior to 1.16.0, the PUT /console/api/apps/<app_id>/server endpoint in api/controllers/console/app/mcp_server.py used AppMCPServerController.put() to retrieve an AppMCPServer by the client-supplied server ID without verifying that the server belonged to the requested application and tenant. An authenticated workspace member could therefore change another application's MCP server status and parameters, potentially redirecting data or disabling the service. This issue is fixed in version 1.16.0.
vLLM is an inference and serving engine for large language models. Prior to 0.30.0, a caller can use the request-level media_io_kwargs field to select the GLMGA video backend and supply large values for the fps and max_frames options without a strict work ceiling. GLMGA constructs and deduplicates an attacker-sized pre-decode frame-index list, allowing a compact request and tiny valid video to consume disproportionate CPU time and memory in the shared media-loading executor. This issue is fixed in version 0.30.0.
vLLM is an inference and serving engine for large language models. Prior to 0.30.0, the Rust frontend's track_http_metrics middleware records the raw HTTP method token as a Prometheus label for requests reaching registered routes. An unauthenticated attacker can send unique arbitrary method tokens to unguarded routes such as /tokenize, causing Prometheus's Family::get_or_create function to permanently create counter and histogram label sets. Those label sets increase process memory usage and enlarge the /metrics response until the service or monitoring path is exhausted. This issue is fixed in version 0.30.0.
vLLM is an inference and serving engine for large language models. From 0.24.0 until 0.30.0, the Qwen2VLVideoBackend and Qwen3VLVideoBackend classes accept request-level values for the media_io_kwargs.video.max_frames and media_io_kwargs.video.fps fields without enforcing server-side ceilings. An unauthenticated caller can submit these values to the /tokenize endpoint, causing the sampler to decode every frame selected from attacker-controlled video input, consume disproportionate frontend memory, and potentially terminate the API process before scheduling or admission control. The Rust frontend is not affected because it rejects the media_io_kwargs field. This issue is fixed in version 0.30.0.
vLLM is an inference and serving engine for large language models. Prior to 0.30.0, structured-output request failures can escape request-scoped validation and reach the EngineCore fatal-error path. A per-request backend mismatch can re-raise a grammar compilation exception, padding produced by the ngram_gpu speculative-decoding mode can pass a negative token to guidance validation, and the Rust frontend can admit empty structured-output values that the Python frontend rejects, allowing ordinary constrained-generation requests to terminate the shared engine. This issue is fixed in version 0.30.0.
curl -i -X GET 'https://api.rankiteo.com/underwriter-getcompany-history?
linkedin_id=axa' -H 'apikey: YOUR_API_KEY_HERE'
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