Comparison Overview
J & P Richardson Training
J & P Richardson Training
114 Campbell Avenue, WACOL, 4076, AU
Last Update: 03/02/2026
LOCAL EXPERTISE & EXPERIENCE. GLOBAL TECHNOLOGY & INNOVATION. J & P Richardson Industries (JPR) offers design, construction, engineering, in house manufacturing, electrical installation and 24/7 maintenance and breakdown support. We are also a RTO, offering a broad rang...
Flex
12455 Research Blvd, Austin, Texas, US, 78759
Last Update: 13/09/2026
Flex (Reg. No. 199002645H) is the global manufacturing partner of choice that helps leading brands design, build, and manage products that improve the world. For more information, visit flex.com. We love to hear your thoughts, comments and ideas so feel free to like, s...
Compliance Ranges Comparison
J & P Richardson Training
Flex
Benchmark & Cyber Underwriting Signals
Incidents vs Appliances, Electrical, and Electronics Manufacturing Industry Avg (This Year)
No incidents recorded for J & P Richardson Training in 2026.
Incidents vs Appliances, Electrical, and Electronics Manufacturing Industry Avg (This Year)
No incidents recorded for Flex in 2026.
Incident History - J & P Richardson Training (X = Date, Y = Severity)
J & P Richardson Training cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Flex (X = Date, Y = Severity)
Flex cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
J & P Richardson Training
Flex
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.