OMI A.I CyberSecurity Scoring
01/12/2025
Access Monitoring Plan
Access Monitoring Plan
No incidents recorded for ORIS Materials Intelligence in 2026.
No incidents recorded for ORIS Materials Intelligence in 2026.
No incidents recorded for ORIS Materials Intelligence in 2026.
Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud.
At Agoda, we bridge the world through travel. We aim to make it easy and rewarding for more travelers to explore and experience the amazing world we live in. We do so by enabling more people to see the world for less – with our best-value deals across our 6,000,000+ hotels and holiday properties, 130,000+ flight routes, 360,000+ activities, and more. Agoda was founded in 2005 in Thailand by two lifelong friends with a shared passion for travel. Today, Agoda is part of Booking Holdings [BKNG], and we have more than 7,000 employees from 90 nationalities in offices across Asia Pacific, the Middle East, Europe, and the Americas. In every department – from engineering to customer support – you’ll find that data and technology are at the heart of our culture. There’s never a boring day at Agoda as we aim to make travel hassle-free for everyone. If you’re ready to begin your best journey with us and help us build travel for the world, join us. For properties seeking partnership with Agoda, visit https://connect.agoda.com
More than one billion people around the world use Instagram, and we’re proud to be bringing them closer to the people and things they love. Instagram inspires people to see the world differently, discover new interests, and express themselves. Since launching in 2010, our community has grown at a rapid pace. Our teams are growing fast, too, and we’re looking for talent across engineering, product management, design, research, analytics, technical program management, operations, and more. In addition to our headquarters in Menlo Park, we have thriving offices in New York City and San Francisco where teams are doing impactful work every day.
At Sage, we knock down barriers with information, insights, and tools to help your business flow. We provide businesses with software and services that are simple and easy to use, as we work with you to give you that feeling of confidence. Customers trust our Payroll, HR, and Finance software to make business flow with ease. From our local network of experts to our ever-growing partnerships, we are on hand to give you all the insights you need to thrive. 💚
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).
Baidu is a leading AI company with strong Internet foundation, driven by our mission to “make the complicated world simpler through technology”. Founded in 2000 as a search engine platform, we were an early adopter of artificial intelligence in 2010. Since then, we have established a full AI stack, from deep learning frameworks to models and applications, with industry-leading self-developed technology at every level. Over the past two decades, we have built a diversified portfolio of products and services, spanning an ecosystem of hundreds of millions of users, millions of developers, and hundreds of thousands of enterprises. We have now integrated our leading AI capabilities into our offerings, driving innovative use cases. Join us to shape the future of AI and technology. For media inquiries, contact us at [email protected]. For career opportunities, visit https://talent.baidu.com/static/index.html
Shopify is a leading global commerce company, providing trusted tools to start, grow, market, and manage a retail business of any size. Shopify makes commerce better for everyone with a platform and services that are engineered for reliability, while delivering a better shopping experience for consumers everywhere. Shopify powers millions of businesses in more than 175 countries and is trusted by brands such as Allbirds, Gymshark, PepsiCo, Staples, and many more. Find all our jobs here: www.shopify.com/careers
The Facebook company is now Meta. Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. We want to give people the power to build community and bring the world closer together. To do that, we ask that you help create a safe and respectful online space. These community values encourage constructive conversations on this page: • Start with an open mind. Whether you agree or disagree, engage with empathy. • Comments violating our Community Standards will be removed or hidden. So please treat everybody with respect. • Keep it constructive. Use your interactions here to learn about and grow your understanding of others. • Our moderators are here to uphold these guidelines for the benefit of everyone, every day. • If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community). For a full listing of our jobs, visit http://www.facebookcareers.com
JD.com, also known as JINGDONG, is a leading e-commerce company transferring to be a technology and service enterprise with supply chain at its core. JD.com’s business has expanded across retail, technology, logistics, health, property development, industrials, and international business. Ranking 44 on the Fortune Global 500, JD.com is China’s largest retailer by revenue. JD.com serves over 600 million customers and has set the standard for e-commerce through its commitment to quality, authenticity, and competitive pricing. The company operates the largest fulfillment infrastructure of any e-commerce company in China, enabling 90% of retail orders to be delivered within the same or next day. JD.com also promotes productivity and innovation across a range of industries by offering its cutting-edge technology and infrastructure to partners, brands, and diverse sectors.
Latest updates, reports, and threat intel affecting the global network.
Improper Handling of Highly Compressed Data (Data Amplification) vulnerability in elixir-grpc grpc (GRPC.Compressor.Gzip, GRPC.Message modules) allows a denial of service via a gzip decompression bomb. This vulnerability is associated with program files lib/grpc/compressor/gzip.ex, lib/grpc/message.ex and program routines 'Elixir.GRPC.Compressor.Gzip':decompress/1, 'Elixir.GRPC.Message':from_data/2. 'Elixir.GRPC.Compressor.Gzip':decompress/1 calls :zlib.gunzip/1 directly on attacker-controlled bytes with no decompressed-size limit, ratio check, or incremental decoding. Because this module is the registered gzip GRPC.Compressor implementation, it is invoked automatically whenever an incoming gRPC frame carries the grpc-encoding: gzip header. :zlib.gunzip/1 allocates the entire decompressed result as a single binary, so a small highly compressible payload (for example a few kilobytes of zeros, which gzip compresses at roughly 1000:1) expands to multiple gigabytes inside a single call. The max_receive_message_length limit is enforced only against the already-decompressed message, so it provides no protection. An unauthenticated remote peer can send a single crafted frame to exhaust the BEAM node's heap and trigger an out-of-memory kill. This issue affects grpc: from 0.4.0 before 1.0.0.
Allocation of Resources Without Limits or Throttling vulnerability in elixir-grpc grpc allows unauthenticated attackers to exhaust the BEAM's memory and crash the server by streaming a large or slow-trickle unary request body. 'Elixir.GRPC.Server.Adapters.Cowboy.Handler':read_full_body/3 (lib/grpc/server/adapters/cowboy/handler.ex) accumulates every received chunk into a single growing binary with no size cap. Additionally, when the client omits the grpc-timeout header, the per-chunk read timeout resolves to :infinity, allowing a slow-trickle client to keep the connection alive indefinitely while memory grows. A single connection is sufficient to exhaust server memory and crash the node. This issue affects grpc from 0.3.1 before 1.0.0.
Deserialization of Untrusted Data and Allocation of Resources Without Limits or Throttling vulnerabilities in elixir-grpc grpc allow unauthenticated attackers to crash the BEAM node via atom table exhaustion and, when a decoded term flows into a call site that invokes it, achieve remote code execution on the server. 'Elixir.GRPC.Codec.Erlpack':decode/2 (lib/grpc/codec/erlpack.ex) calls :erlang.binary_to_term/1 on the raw gRPC message body without the :safe option, no size bound, and no type guard. Any unauthenticated peer that sends a request with Content-Type: application/grpc+erlpack can send a crafted payload that mints arbitrary new atoms (which are never garbage-collected, exhausting the bounded atom table and crashing the VM) or that encodes a fun term which, if applied anywhere downstream, executes attacker-controlled code inside the server process. This issue affects grpc from 0.4.0 before 1.0.0.
The browserstack-cypress-cli is BrowserStack's CLI which allows users to run Cypress tests on BrowserStack. Versions prior to 1.36.4 are vulnerable to OS command injection via the cypress_config_file configuration parameter. In readCypressConfigUtil.js, the loadJsFile() function constructs a shell command by interpolating the user-controlled cypress_config_filepath value into a template literal, then executes it via child_process.execSync(). Shell metacharacters in the config path (specifically " and ;) allow breaking out of the quoted argument and injecting arbitrary commands. This issue has been fixed in version 1.36.6.
Authorization Bypass Through User-Controlled Key vulnerability in elixir-grpc grpc allows authenticated attackers to access or modify resources belonging to other users by smuggling a conflicting value for any path-bound field via the query string or request body. In 'Elixir.GRPC.Server.Transcode':map_request/5 (lib/grpc/server/transcode.ex), all three clauses use Map.merge/2 with path bindings as the first argument, giving them the lowest merge precedence. A request such as GET /users/me/profile?user_id=victim (or a POST with {"user_id": "victim"} when body: "*") yields a decoded protobuf struct where the path-bound field carries the attacker-supplied value rather than the router-extracted value. Any handler that uses the path-bound field for authorization, multi-tenancy scoping, or ownership checks is silently bypassed. This issue affects grpc from 0.8.0 before 1.0.0.
curl -i -X GET 'https://api.rankiteo.com/underwriter-getcompany-history?
linkedin_id=axa' -H 'apikey: YOUR_API_KEY_HERE'
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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.