Printmate Indonesia A.I CyberSecurity Scoring
02/04/2026
Access Monitoring Plan
Access Monitoring Plan
No incidents recorded for Printmate Indonesia in 2026.
No incidents recorded for Printmate Indonesia in 2026.
No incidents recorded for Printmate Indonesia in 2026.
Retail Office Equipment
For nearly 40 years, Staples has been a trusted leader in delivering end-to-end workplace solutions for consumers and businesses of all sizes across a broad range of industries. The company provides a comprehensive portfolio of products, strategic solutions, and services including print and marketing, shipping, technology, and travel. Its specialized assortment includes high-quality office supplies, janitorial products, technology, furniture, and breakroom essentials, all supported by best-in-class supply chain capabilities and a dedicated team of experts committed to making the workday easier. Headquartered near Boston, Massachusetts, Staples operates throughout North America via direct B2B sales, e-commerce, and more than 900 retail stores. To learn more, visit your local U.S. Staples store, download the Staples app, explore Staples.com or StaplesBusiness.com, or follow @Staples on social media.
As a leading business-to-business organization, more than 4.5 million customers worldwide rely on Grainger for products in categories such as safety, material handling and metalworking, along with services like inventory management and technical support. For our Team Members, Grainger provides value for customers, fostering an engaging culture and driving strong financial results. Our welcoming workplace enables you to learn, grow and make a difference by keeping businesses running and their people safe. For our customers we offer more than a million industrial-quality products, a consultative sales approach, technical and product expertise, a premium digital experience and the ability to get the right products to youright when you need them. Count on us for supplies and solutions for every industry. Visit Grainger.com® to learn more.
Office Depot, LLC, an operating company of The ODP Corporation, is a leading specialty retailer providing innovative products and services delivered through a fully integrated omnichannel platform of Office Depot and OfficeMax retail stores and an award-winning online presence, OfficeDepot.com, to support the productivity and organization of its small business, home office and education clients. Office Depot is committed to enabling its clients’ success, strengthening local communities and providing equal opportunities for all. For more information, visit officedepot.com, download the Office Depot app on your iPhone or Android and follow @officedepot on LinkedIn, Facebook, Twitter, Instagram and TikTok. Office Depot is a trademark of The Office Club, Inc. OfficeMax is a trademark of OMX, Inc. ©2023 Office Depot, LLC. All rights reserved. Any other product or company names mentioned herein are the trademarks of their respective owners.
The ODP Corporation (NASDAQ:ODP) is a leading provider of products and services through an integrated business-to-business (B2B) distribution platform and omnichannel presence, which includes world-class supply chain and distribution operations, dedicated sales professionals, a B2B digital procurement solution, online presence, and a network of Office Depot and OfficeMax retail stores. Through its operating companies Office Depot, LLC; ODP Business Solutions, LLC; Veyer, LLC; and Varis, LLC, The ODP Corporation empowers every business, professional, and consumer to achieve more every day.
Latest updates, reports, and threat intel affecting the global network.
vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, the fix for CVE-2026-22778, which introduced a sanitize_message helper that strips object-repr memory addresses from error messages before they reach the client, is incomplete: several response paths echo str(exc) directly to clients without calling sanitize_message. The unsanitized sites include the Anthropic API router in vllm/entrypoints/anthropic/api_router.py (the POST /v1/messages and POST /v1/messages/count_tokens handlers), the Server-Sent Events streaming converter in vllm/entrypoints/anthropic/serving.py, and the realtime speech-to-text WebSocket in vllm/entrypoints/speech_to_text/realtime/connection.py. These paths catch the exception inside the route coroutine and construct the JSONResponse themselves, bypassing the sanitizing global FastAPI exception handler, and WebSocket frames do not traverse that handler chain at all. Using the same primitive as the parent issue, an unauthenticated attacker can send malformed image bytes through the Anthropic Messages API image content parts so that PIL.Image.open raises an UnidentifiedImageError whose message contains the BytesIO object repr, leaking the heap memory address verbatim in the error.message field of the response body. This vulnerability is fixed in 0.23.1rc0.
vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, ll temperature validation gates use comparison operators (<, >), which silently evaluate to False for NaN and for positive Infinity in Python's IEEE 754 float semantics. Both values pass every guard and propagate to GPU sampling kernels, where they produce undefined behavior or CUDA errors that can crash the inference worker. This vulnerability is fixed in 0.23.1rc0.
vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, vLLM's /v1/audio/transcriptions endpoint limits compressed upload size but not decoded PCM output. A 25MB OPUS file expands to ~14.9GB of float32 PCM at decode time. This vulnerability is fixed in 0.23.1rc0.
vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.22.1, the vLLM Dockerfile is vulnerable to a dependency confusion attack through the flashinfer-jit-cache package. The package is installed from a custom index (flashinfer.ai/whl/) using --extra-index-url, but the package name was not registered on PyPI, and UV_INDEX_STRATEGY="unsafe-best-match" is set globally. An attacker who registers flashinfer-jit-cache on PyPI with version 0.6.11.post2 can execute arbitrary code as root during the Docker build and backdoor every resulting container image, enabling exfiltration of all user prompts, API credentials, and model data from production vLLM deployments This vulnerability is fixed in 0.22.1.
vLLM is an inference and serving engine for large language models (LLMs). From 0.5.5 until 0.23.1rc0, integer truncation of tensor dimensions in vLLM's GGUF dequantize kernels (csrc/quantization/gguf/gguf_kernel.cu) causes partial tensor processing. The output tensor is allocated at full size via torch::empty (uninitialized memory), but the dequantize CUDA kernel processes only a truncated number of elements. The unfilled portion of the output tensor retains whatever was previously in GPU memory. In multi-tenant inference deployments, this residual GPU memory may contain tensor data from other users' inference requests, constituting information disclosure. This vulnerability is fixed in 0.23.1rc0.
curl -i -X GET 'https://api.rankiteo.com/underwriter-getcompany-history?
linkedin_id=axa' -H 'apikey: YOUR_API_KEY_HERE'
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