Comparison Overview
TD SYNNEX France
TD SYNNEX France
5, Avenue de l'europe, Bussy-Saint-Georges, Île-de-France, 77600, FR
Last Update: 12/12/2025
TD SYNNEX (NYSE : SNX) est l’un des plus grands groupes mondiaux de distribution et d’agrégation de solutions pour l’écosystème informatique. Nous sommes un partenaire novateur, aidant plus de 150 000 clients dans plus de 100 pays à maximiser la valeur de leurs invest...
Mindtree
Bangalore, India - New Jersey, USA, Bangalore, 560059, IN
Last Update: 13/09/2026
LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to mor...
Compliance Ranges Comparison
TD SYNNEX France
Mindtree
Benchmark & Cyber Underwriting Signals
Incidents vs Information Technology & Services Industry Avg (This Year)
No incidents recorded for TD SYNNEX France in 2026.
Incidents vs Information Technology & Services Industry Avg (This Year)
No incidents recorded for Mindtree in 2026.
Incident History - TD SYNNEX France (X = Date, Y = Severity)
TD SYNNEX France cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Mindtree (X = Date, Y = Severity)
Mindtree cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
TD SYNNEX France
Mindtree
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.