Oracle Utilities A.I CyberSecurity Scoring
09/03/2026
Access Monitoring Plan
Access Monitoring Plan
No incidents recorded for Oracle Utilities in 2026.
No incidents recorded for Oracle Utilities in 2026.
No incidents recorded for Oracle Utilities in 2026.
Information Technology & Services
We are at the forefront of digital transformation in the Americas, positively impacting the lives of over 500 million people. As a key player in emerging industries, we drive innovation and change through ambitious modernization projects and cutting-edge solutions. By understanding the region's challenges and demands, we provide a comprehensive portfolio of business solutions tailored to the primary industries, driving innovation and success in the market. We operate in 13 countries with a dedicated team of over 15,000 regional employees, earning the trust of more than 5,000 corporate clients to lead their digital transformation journeys. Our extensive presence spans Argentina, Brazil, Chile, Colombia, Costa Rica, Guatemala, Ecuador, the United States, Canada, Mexico, Panama, Peru, and Uruguay.
We are a global technology consultancy that delivers extraordinary impact by blending design, engineering and AI expertise. For 30 years, our commitment to design-led thinking, engineering excellence and innovation means we prioritize people, build teams with strong technical foundations and embed AI into every step of the process – not just as a tool but as a mindset. It’s this approach that sets us apart, sparks bold ideas and empowers us to drive real, lasting innovation. We’re not preparing for the future – we’re defining it.
LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by 86,000+ talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. LTIMindtree is proud to be an equal opportunity employer. We are committed to providing equal employment opportunities regardless of race, ethnicity, nationality, gender, gender identity, gender expression, language, age, sexual orientation, religion, marital status, veteran status, socio-economic status, disability, or any other characteristic protected by applicable law. Please note that neither LTIMindtree nor any of its authorized recruitment agencies/partners charge candidates any registration fees or other fees for appearing in interviews or securing employment/internships. Candidates are solely responsible for verifying the credentials of any agency or consultant claiming to work with LTIMindtree for recruitment purposes. Please note that anyone relying on representations made by fraudulent employment agencies/consultant does so at their own risk. LTIMindtree disclaims any liability for loss or damage suffered as a result of such actions. For more info, please visit ltimindtree.com.
Computacenter is a leading independent technology and services provider, trusted by large corporate and public sector organisations. We are a responsible business that believes in winning together for our people and our planet. We help our customers to Source, Transform and Manage their technology infrastructure to deliver digital transformation, enabling people and their business. Computacenter plc is a public company quoted on the London Stock Exchange (CCC.L) and a member of the FTSE 250. Computacenter employs over 21,000 people worldwide.
In a world undergoing constant change, VINCI Energies contributes to the environmental transition by helping bring about major trends in the digital landscape and energy sector. VINCI Energies’ teams roll out technologies and integrate customised multi-technical solutions, from design to implementation, operation and maintenance. With their strong local roots and agile and innovative structure, VINCI Energies’ 2,100 business units have positioned themselves at the heart of the energy choices of their customers, boosting the reliability, efficiency and sustainability of their infrastructure and processes. VINCI Energies strives for global performance, caring for the planet, useful to people and committed to local communities. 2024: €20.4 billion // 102,600 employees // 2,100 Business Units // 61 countries
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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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