Comparison Overview
ATEXIS
ATEXIS
10/12, Impasse Pythagore, Vitrolles, Provence-Alpes-Côte d'Azur, FR, 13127
Last Update: 11/11/2025
ATEXIS is an international company of the ALTEN Group, a global leader in engineering and IT services, with headquarters in 30 countries and 57,000 employees worldwide. At ATEXIS, we innovate to enable more sustainable and secure technology for the future of society. W...
Amazon Web Services (AWS)
410 Terry Ave N, Seattle, 98019, US
Last Update: 14/09/2026
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and...
Compliance Ranges Comparison
ATEXIS
Amazon Web Services (AWS)
Benchmark & Cyber Underwriting Signals
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
No incidents recorded for ATEXIS in 2026.
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
Amazon Web Services (AWS) has 2424.27% more incidents than the average of all companies with at least one recorded incident.
Incident History - ATEXIS (X = Date, Y = Severity)
ATEXIS cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Amazon Web Services (AWS) (X = Date, Y = Severity)
Amazon Web Services (AWS) cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
ATEXIS
Amazon Web Services (AWS)
FAQ
Latest Global CVEs
vLLM through 0.29.0 fails to properly clean up decode-side metadata for rejected inference requests in prefill/decode disaggregated deployments. Remote attackers can submit requests with max_tokens=0 to exhaust decode-worker memory without bound until the worker restarts.
- https://github.com/vllm-project/vllm
- https://github.com/vllm-project/vllm/blob/v0.29.0/vllm/distributed/kv_transfer/kv_connector/v1/nixl/push_worker.py#L162-L181
- https://github.com/vllm-project/vllm/pull/55677
- https://www.vulncheck.com/advisories/vllm-through-0.29.0-memory-exhaustion-via-rejected-requests
redis-parser through 3.0.0 contains a denial of service vulnerability in the RESP protocol parser that allows malicious Redis endpoints to crash the client process through unbounded recursion on nested arrays. Attackers can send crafted RESP byte streams with repeated array headers that exhaust the V8 call stack, causing an uncaught RangeError that terminates the Node.js process without triggering error handling callbacks.
- https://github.com/NodeRedis/node-redis-parser
- https://github.com/NodeRedis/node-redis-parser/blob/701655430f5f7d9ca00892a02f7eefcbc1193a98/lib/parser.js#L204-L213
- https://github.com/NodeRedis/node-redis-parser/blob/701655430f5f7d9ca00892a02f7eefcbc1193a98/lib/parser.js#L291-L306
- https://github.com/redis/ioredis/issues/2108
- https://www.vulncheck.com/advisories/redis-parser-through-3.0.0-denial-of-service-via-unbounded-recursion
Improper neutralization of special elements in output used by a downstream component ('injection') in Azure Cosmos DB allows an authorized attacker to elevate privileges over a network.
Server-side request forgery (ssrf) in Azure AI Foundry allows an unauthorized attacker to elevate privileges over a network.
Missing authentication for critical function in Azure AI Foundry allows an unauthorized attacker to elevate privileges over a network.