Comparison Overview
TENSA - Your Challenges, Our Solutions

TENSA - Your Challenges, Our Solutions
via Pordenone 8, Milan, 20132, IT
Last Update: 07/02/2026
TENSA is a leader in stay cables, post tensioning, anti-seismic devices, bearings and expansion joints. Our mission is to constantly improve the methods and the quality of construction processes through research, innovation and cooperation with designers, engineers and...

Ventia
155 Miller St, Level 27, North Sydney, New South Wales, AU, 2060
Last Update: 13/09/2026
Ventia provides essential services to make infrastructure work for communities in Australia and New Zealand. We pride ourselves on safe and sustainable services for our corporate and government clients across a broad range of sectors, including transport, telecommunic...
Compliance Ranges Comparison

TENSA - Your Challenges, Our Solutions







Ventia






Benchmark & Cyber Underwriting Signals
Incidents vs Civil Engineering Industry Avg (This Year)
No incidents recorded for TENSA - Your Challenges, Our Solutions in 2026.
Incidents vs Civil Engineering Industry Avg (This Year)
No incidents recorded for Ventia in 2026.
Incident History - TENSA - Your Challenges, Our Solutions (X = Date, Y = Severity)
TENSA - Your Challenges, Our Solutions cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Ventia (X = Date, Y = Severity)
Ventia cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

TENSA - Your Challenges, Our Solutions

Ventia
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.