Comparison Overview
Enterprise Automation, A Tetra Tech Company
Enterprise Automation, A Tetra Tech Company
9050 Irvine Center Dr, Irvine, 92618, US
Last Update: 13/01/2026
From consulting and planning to execution and deployment, Enterprise Automation provides systems integration and automation services for process-driven industries. With dedicated offices in California and Arizona and over 500 additional Tetra Tech offices around the glo...
SYSTRA
72 rue Henry Farman, Paris, 75015, FR
Last Update: 02/04/2026
SYSTRA is one of the world's leading engineering and consultancy groups specialising in public transport and mobility solutions. For more than 65 years, the Group has been committed to helping cities and regions to contribute to their development by creating, improving ...
Compliance Ranges Comparison
Enterprise Automation, A Tetra Tech Company
SYSTRA
Benchmark & Cyber Underwriting Signals
Incidents vs Engineering Services Industry Avg (This Year)
No incidents recorded for Enterprise Automation, A Tetra Tech Company in 2026.
Incidents vs Engineering Services Industry Avg (This Year)
No incidents recorded for SYSTRA in 2026.
Incident History - Enterprise Automation, A Tetra Tech Company (X = Date, Y = Severity)
Enterprise Automation, A Tetra Tech Company cyber incidents detection timeline including parent company and subsidiaries.
Incident History - SYSTRA (X = Date, Y = Severity)
SYSTRA cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Enterprise Automation, A Tetra Tech Company
SYSTRA
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.