SES A.I CyberSecurity Scoring
25/12/2025
Access Monitoring Plan
Access Monitoring Plan
No incidents recorded for Safran Engineering Services in 2026.
No incidents recorded for Safran Engineering Services in 2026.
No incidents recorded for Safran Engineering Services 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.
The market is expanding due to increasing digital integration and global regulation. Opportunities lie in developing integrated,...
The chief executive of Safran said on Monday the French engine maker is "on a good path" towards catching up on engine delays to Airbus by...
U.S. planemaker Boeing has returned to a more "dynamic" production profile after years of uncertainty surrounding setbacks to its 737 MAX...
Role models for students, parents, educators, and the cybersecurity community Sponsored by Secureworks.
Lockheed Martin is a leading global security and aerospace company. Lockheed Martin delivers innovative solutions to the world's toughest...
From Factory 4.0 to connected aircraft, the digital transformation of the aerospace sector brings with it a greater risk of cyberattacks and...
It's not easy to transmit data to and from a rotorcraft. Unlike with fixed-wing aircraft, the overhead rotors on helicopters act as a...
Safran is recruiting! Find all our job offers on our website.
A major player in the aeronautics industry and part of a large industrial group, Safran Engineering Services has wisely drawn on its...
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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