Comparison Overview
ISOVER® Argentina
ISOVER® Argentina
Bouchard y Enz, Llavallol, Buenos Aires 1836, AR
Last Update: 02/02/2026
Somos una empresa dedicada a brindar soluciones de construcción eficientes e innovadoras. Ofrecemos, en lanas de vidrio, la gama más completa de productos de aislamiento, tanto térmico como acústico y de protección contra el fuego. Estamos orgullosos de pertenecer al...
Fluor Corporation
6700 Las Colinas Blvd., Irving, 75039, US
Last Update: 14/09/2026
Fluor Corporation is a global engineering, procurement and construction company. We work with leaders in the energy, infrastructure, life sciences, advanced technologies, mining and metals industries, as well as government agencies, to build a better world. Since our f...
Compliance Ranges Comparison
ISOVER® Argentina
Fluor Corporation
Benchmark & Cyber Underwriting Signals
Incidents vs Construction Industry Avg (This Year)
No incidents recorded for ISOVER® Argentina in 2026.
Incidents vs Construction Industry Avg (This Year)
No incidents recorded for Fluor Corporation in 2026.
Incident History - ISOVER® Argentina (X = Date, Y = Severity)
ISOVER® Argentina cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Fluor Corporation (X = Date, Y = Severity)
Fluor Corporation cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
ISOVER® Argentina
Fluor Corporation
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.