M A.I CyberSecurity Scoring
20/02/2026
Access Monitoring Plan
Access Monitoring Plan
No incidents recorded for MLSE (Maple Leaf Sports & Entertainment Partnership) in 2026.
No incidents recorded for MLSE (Maple Leaf Sports & Entertainment Partnership) in 2026.
No incidents recorded for MLSE (Maple Leaf Sports & Entertainment Partnership) in 2026.
Major League Baseball (MLB) is the most historic professional sports league in the United States and consists of 30 member clubs in the U.S. and Canada, representing the highest level of professional baseball. Led by Commissioner Robert D. Manfred, Jr., MLB remains committed to making an impact in the communities of the U.S., Canada and throughout the world, perpetuating the sport's larger role in society and permeating every facet of baseball's business, marketing, community relations and social responsibility endeavors. MLB currently features record levels of competitive balance, continues to expand its global reach through programming and content to fans all over the world, and registered records in games and minutes watched this season on MLB.TV. With the continued success of MLB Network and MLB digital platforms, MLB continues to find innovative ways for its fans to enjoy America's National Pastime and a truly global game. For more information on Major League Baseball, visit www.MLB.com.
The National Basketball Association (NBA) is a global sports and media organization with the mission to inspire and connect people everywhere through the power of basketball. Built around five professional sports leagues: the NBA, WNBA, NBA G League, NBA 2K League and Basketball Africa League, the NBA has established a major international presence with games and programming available in 215 countries and territories in more than 50 languages, and merchandise for sale in more than 200 countries and territories on all seven continents. NBA Digital’s assets include NBA TV, NBA.com, the NBA App and NBA League Pass. The NBA has created one of the largest social media communities in the world, with 2.1 billion likes and followers globally across all league, team, and player platforms. Through NBA Cares, the league addresses important social issues by working with internationally recognized youth-serving organizations that support education, youth and family development, and health-related causes.
Latest updates, reports, and threat intel affecting the global network.
By The Canadian Press. Posted December 4, 2025 2:15 pm. Last Updated December 4, 2025 3:22 pm. U.S. President Donald Trump pardoned Tim Leiweke on Wednesday...
From November 28 to December 31, Toronto Maple Leafs, Toronto Raptors, Toronto FC and Toronto Argonauts fans can enjoy a one-of-a-kind...
Ahead of Black Friday, Maple Leaf Sports and Entertainment is giving back to its loyal fans with a limited-time holiday shopping experience.
(Image: wwe.com). Maple Leaf Sports & Entertainment (MLSE) and World Wrestling Entertainment (WWE) have joined forces for what the companies...
WWE and Maple Leaf Sports & Entertainment (MLSE), one of the world's premier sports and entertainment companies, have announced a new...
WWE announces 'long-term strategic partnership' with Maple Leaf Sports & Entertainment (MLSE) ... WWE has formalized a partnership with Maple Leaf...
Maple Leaf Sports and Entertainment and WWE have launched a tag team — a new long-term strategic partnership aimed at exploring...
Maple Leaf Sports and Entertainment and WWE are partnering together for a new initiative that aims to join wrestling superstars with Toronto...
Rogers Communications Inc., already reaping benefits from its recently completed acquisition of a majority stake in Maple Leaf Sports...
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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