SE A.I CyberSecurity Scoring
01/04/2026
Access Monitoring Plan
Access Monitoring Plan
No incidents recorded for Safran - Equipment in 2026.
No incidents recorded for Safran - Equipment in 2026.
No incidents recorded for Safran - Equipment in 2026.
Inspired by the belief that aviation could fuel business growth, Gulfstream Aerospace Corp. invented the first purpose-built business aircraft, the Gulfstream I, which first flew in 1958. Today, more than 3,400 aircraft are in service around the world. Together with parent company General Dynamics, Gulfstream consistently invests in the future, dedicating resources to researching and developing innovative new aircraft, technologies and services. Gulfstream’s next-generation family of aircraft, including the super-midsize Gulfstream G300, the category-leading Gulfstream G400, the award-winning Gulfstream G500 and Gulfstream G600, the ultralarge-cabin Gulfstream G700 and the ultralong-range Gulfstream G800, offers an aircraft for every mission. All are backed by the worldwide Gulfstream Customer Support network.
Boeing is a leading global aerospace company that designs, builds and supports commercial airplanes, defense products and space systems for customers in more than 150 countries. Guided by our commitment to safety and quality, we innovate to deliver solutions that bring real value to our customers and the industry. As a top U.S. exporter, we work with a strong global supply base to drive economic opportunity and community impact worldwide. Our team leads with integrity and passion as it shapes the future of aerospace. Explore careers with us: boeing.com/careers Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Latest updates, reports, and threat intel affecting the global network.
Safran S.A. (ISIN: FR0000130809) stands as a key player in aircraft engines and defense systems, offering North American investors exposure...
Casablanca, February 13, 2026 — Safran announced today, under the chairmanship of His Majesty King Mohammed VI of Morocco and in the presence of Ross...
CASABLANCA-SETTAT, Morocco, February 13, 2026--His Majesty King Mohammed VI, may God assist Him, accompanied by HRH Crown Prince Moulay El...
When flying a helicopter, every detail counts, especially in unstable weather conditions or when timing is critical.
Safran's 1H25 revenue rose 13% year-over-year, driven by strong civil engine sales and higher demand for spare parts and maintenance...
French aerospace group Safran has picked France as the location for a $500 million carbon brakes factory, beating rival bids from sites in...
French engine and aircraft equipment maker Safran said on Monday it had finalised the acquisition of flight control and actuation activities...
China has decided to grant exemptions from import tariffs for some aircraft parts, including jet engines, the head of French engine maker Safran...
It posted an increase in revenue on strong demand for civil aftermarket services, lifting shares in the French aerospace-industry supplier.
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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