Flipkart Support A.I CyberSecurity Scoring
13/03/2026
Access Monitoring Plan
Access Monitoring Plan
No incidents recorded for Flipkart Support in 2026.
No incidents recorded for Flipkart Support in 2026.
No incidents recorded for Flipkart Support in 2026.
At Mercado Libre, we are transforming the way people buy, sell, advertise, pay, finance, and ship across Latin America. We are the leading e-commerce and fintech company in the region, with a presence in 18 countries and a team of more than 130,000 people. We are one of the best places to work in Latin America. Being part of MELI means working with intensity and excellence because we are passionate about what we do and we believe in the value of meritocracy. We overcome our own limits and learn by tackling big challenges. We have an entrepreneurial mindset, we take risks, we reinvent ourselves, and we innovate. We compete as a team to win in a flexible and fun work environment. And so, every day, we create sustainable results that transform the lives of millions of people. We look for people who are passionate about big challenges, who are willing to step out of their comfort zone, give their maximum effort, and take risks as entrepreneurs. Join the team that makes the purpose of democratizing commerce and financial services a reality, transforming the lives of millions across Latin America. Be part of the MELI experience!
Equinix (Nasdaq: EQIX) is the world’s digital infrastructure company®, enabling digital leaders to harness a trusted platform to bring together and interconnect the foundational infrastructure that powers their success. Equinix enables today’s businesses to access all the right places, partners and possibilities they need to accelerate advantage. With Equinix, they can scale with agility, speed the launch of digital services, deliver world-class experiences and multiply their value.
Latest updates, reports, and threat intel affecting the global network.
As India gears up for the festive season with a flood of online sales, scammers are working overtime — hiding behind glittering discounts.
While you are busy shopping, keep these simple tips in mind stay safe this festive season and beyond.
Tech Deals: Flipkart's Big Billion Days 2025 sale brings Google Pixel 9 at Rs 34999, offering premium AI features, 7 years of updates,...
Mysore-Kodagu MP Yaduveer Krishnadatta Chamaraja Wadiyar emphasized cybersecurity as a national priority at the Security BSides Bangalore...
iPhone 16 under Rs 60000: Flipkart is expected to offer more than Rs 20000 discount on Apple's premium iPhone 16 series.
In this article, we will take a look at the top in-demand jobs of 2025 in terms of the salary, locations, industries and top companies that hire these...
Major companies like Google, Microsoft, and Amazon offer competitive stipends, hands-on projects in AI, cloud computing, and software development.
E-commerce marketplace Meesho has partnered with Intelligence Service Provider SHIELD to strength the cybersecurity of the platform.
Flash, the payment management service that tracks all your online purchases, announced Tuesday its entry into the U.S. market,...
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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