Comparison Overview
Teva Santé
Teva Santé
Coeur Défense - 100-10, Esplanade du Général de Gaulle, La Défense, 92931, FR
Last Update: 01/03/2026
Qui est Teva Santé ? Présent dans plus de 60 pays, premier producteur de principes actifs pour l’industrie pharmaceutique, Teva fait partie des plus grands laboratoires pharmaceutiques du monde. Son offre de médicaments, génériques ou non, permet la prise en charge de...
Sanofi
46 Avenue de la Grande-Armée, Paris, France, FR, 75017
Last Update: 11/09/2026
We are an R&D driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. We apply our deep understanding of the immune system to invent medicines and vaccines that treat and protect millions of people around the world,...
Compliance Ranges Comparison
Teva Santé
Sanofi
Benchmark & Cyber Underwriting Signals
Incidents vs Pharmaceutical Manufacturing Industry Avg (This Year)
No incidents recorded for Teva Santé in 2026.
Incidents vs Pharmaceutical Manufacturing Industry Avg (This Year)
No incidents recorded for Sanofi in 2026.
Incident History - Teva Santé (X = Date, Y = Severity)
Teva Santé cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Sanofi (X = Date, Y = Severity)
Sanofi cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Teva Santé
Sanofi
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.