Comparison Overview
L&S Mechanical
L&S Mechanical
1101 E Arapaho Rd, Richardson, 75081, US
Last Update: 04/04/2026
L&S Mechanical began as a Dallas-based contractor in 1985 and has grown over the years to have six locations out of Dallas, Fort Worth, Houston, San Antonio, and Austin. Over the past thirty years, we have become known as the premier provider of new home construction i...
PCL Construction
9915-56th Avenue, Edmonton, Alberta, CA, T6E 5L7
Last Update: 16/09/2026
PCL is a group of independent construction companies that carries out work across Canada, the United States, the Caribbean, and in Australia. These diverse operations in the civil infrastructure, heavy industrial, and buildings markets are supported by a strategic prese...
Compliance Ranges Comparison
L&S Mechanical
PCL Construction
Benchmark & Cyber Underwriting Signals
Incidents vs Construction Industry Avg (This Year)
L&S Mechanical has 36.31% fewer incidents than the average of same-industry companies with at least one recorded incident.
Incidents vs Construction Industry Avg (This Year)
No incidents recorded for PCL Construction in 2026.
Incident History - L&S Mechanical (X = Date, Y = Severity)
L&S Mechanical cyber incidents detection timeline including parent company and subsidiaries.
Incident History - PCL Construction (X = Date, Y = Severity)
PCL Construction cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
L&S Mechanical
PCL Construction
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.