Comparison Overview
KPMG Emerging Giants (NL)
KPMG Emerging Giants (NL)
Laan van Langerhuize 1, Amstelveen, Noord Holland, NL, 1186
Last Update: 27/02/2026
KPMG Emerging Giants supports scaleups in their growth and international expansion. We understand what it takes for fast-growing companies to be successful in each stage of their business journey, and with our dedicated team of experts, we provide hands-on support wh...
Acosta Group
6600 Corporate Center Pkwy, Jacksonville, 32216, US
Last Update: 10/09/2026
Acosta Group fuses storied expertise, unmatched connectivity and advanced insight to accelerate brand growth – everywhere you sell. Our collective of the most trusted retail, marketing and foodservice agencies is reimagining how people connect with brands at every point...
Compliance Ranges Comparison
KPMG Emerging Giants (NL)
Acosta Group
Benchmark & Cyber Underwriting Signals
Incidents vs Business Consulting and Services Industry Avg (This Year)
No incidents recorded for KPMG Emerging Giants (NL) in 2026.
Incidents vs Business Consulting and Services Industry Avg (This Year)
No incidents recorded for Acosta Group in 2026.
Incident History - KPMG Emerging Giants (NL) (X = Date, Y = Severity)
KPMG Emerging Giants (NL) cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Acosta Group (X = Date, Y = Severity)
Acosta Group cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
KPMG Emerging Giants (NL)
Acosta Group
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.