SGIC A.I CyberSecurity Scoring
20/02/2026
Access Monitoring Plan
Access Monitoring Plan
No incidents recorded for Sherwin-Williams General Industrial Coatings in 2026.
No incidents recorded for Sherwin-Williams General Industrial Coatings in 2026.
No incidents recorded for Sherwin-Williams General Industrial Coatings in 2026.
Our mission began more than 150 years ago in 1866 when Henry Sherwin and Edward Williams founded the company in Cleveland, Ohio. The duo went on to shape an industry and create a global legacy. That legacy continues on today as we look ahead and continue to innovate our future. With stores, distribution centers and facilities spanning the globe, we're able to deliver the best in paints, coatings and related products to the world. From our headquarters to our 130 distribution centers and more than 5,000 retail locations, we continue to grow in new and exciting ways. Here, there's no one path to success. Our 64,000+ employees are diverse, innovative and passionate. Our employees worldwide bring their energy and unique perspectives to each new day. We believe in careers that grow with you and open up new opportunities. With the support of a global team, you can innovate, grow and discover a career where you can thrive and Create Your 𝗣𝗼𝘀𝘀𝗶𝗯𝗹𝗲™. Equal Opportunity Employer of all protected statuses, including disability and veteran.
PPG: WE PROTECT AND BEAUTIFY THE WORLD® At PPG (NYSE:PPG), we work every day to develop and deliver the paints, coatings and specialty materials that our customers have trusted for more than 140 years. Through dedication and creativity, we solve our customers’ biggest challenges, collaborating closely to find the right path forward. With headquarters in Pittsburgh, we operate and innovate in more than 70 countries and reported net sales of $15.8 billion in 2024. We serve customers in construction, consumer products, industrial and transportation markets and aftermarkets. To learn more, visit www.ppg.com and follow @PPG on X and @PPGIndustries on Facebook, Instagram and Threads.
Latest updates, reports, and threat intel affecting the global network.
According to Towards Chemical and Materials, the global powder coatings market size is worth USD 19.13 billion in 2026 and...
Sherwin-Williams (($SHW)) has held its Q4 earnings call. Read on for the main highlights of the call. Sherwin-Williams Balances Record...
The industrial coatings market is set to surge from USD 112.04 billion in 2024 to USD 142.35 billion by 2030, driven by a 4.12% CAGR.
Adds a leading producer of architectural paints in Brazil and the highly-recognized Suvinil brand to Sherwin-Williams portfolio Expands and...
PRNewswire/ -- The Sherwin-Williams Company (NYSE: SHW) announced its financial results for the year and fourth quarter ended December 31,...
How much a stock's price changes over time is important for most investors, since price performance can both impact your investment...
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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