SFYS A.I CyberSecurity Scoring
27/03/2026
Access Monitoring Plan
Access Monitoring Plan
No incidents recorded for StepStone Family & Youth Services in 2026.
No incidents recorded for StepStone Family & Youth Services in 2026.
No incidents recorded for StepStone Family & Youth Services in 2026.
As the world’s leading provider of in-home care, we help older adults live safely and independently at home, without sacrificing their quality of life. Whether they need occasional respite care or full-time support, our Care Pros are carefully selected to provide the best care, giving families peace of mind. With the support of our parent company, Honor Technology, Home Instead is reshaping the aging experience—combining the latest innovations in home care with the compassion that has guided us for over 30 years.
Latest updates, reports, and threat intel affecting the global network.
With about 8000 children statewide needing placements, foster care officials say teens, sibling groups and children with emotional or...
Metro police are partnering with local organizations to collect new blankets for children in the foster care system through the "Wrapped in...
New data shows Roanoke City has one of the highest foster care rates in Virginia, second only to Norfolk.
StepStone Family & Youth Services Launches Blanket Drive for Foster Children. Published: Feb. 11, 2026 at 12:29 PM PST. Close. Subtitle Settings.
The drive mobilizes community members, partners and volunteers to donate blankets, providing foster youth with a reminder that they are cared...
Indiana has the fourth-highest rate of youth in foster care in the nation and StepStone is looking to keep them warm this winter.
There's no better way to spread love than by giving back to the community, and StepStone Family & Youth Services in Bridgeport is asking for your help for...
BOWLING GREEN, Ky. – A local foster group is hosting a blanket drive to help the community during the winter months. StepStone Family and...
StepStone Family and Youth Services launches 'Wrapped In Love' campaign to collect new and gently-used blankets for foster youth in Indiana.
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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