Comparison Overview
Praxis Home Retail Limited
Praxis Home Retail Limited
iThink Techno Campus, Kanjur Marg (East), Mumbai, Maharashtra, 400042, IN
Last Update: 03/04/2026
Pioneering in home retail in India, we are a value driven company with a passion for creating a ‘better life at home’ for people. We started our journey in 2007 with our first store in Noida as a one-stop shop destination for home solutions. Our product assortment is w...
Speedway
500 Speedway Drive, Enon, OH, US, 45323
Last Update: 15/09/2026
Speedway operates across the U.S., predominately in the Midwest and East Coast. In May 2021, 7-Eleven acquired 3,800 Speedway Stores from Marathon Petroleum Corp., increasing 7-Eleven’s total number of stores to more than 13,000 in the U.S. and Canada and allowing 7-Ele...
Compliance Ranges Comparison
Praxis Home Retail Limited
Speedway
Benchmark & Cyber Underwriting Signals
Incidents vs Retail Industry Avg (This Year)
No incidents recorded for Praxis Home Retail Limited in 2026.
Incidents vs Retail Industry Avg (This Year)
No incidents recorded for Speedway in 2026.
Incident History - Praxis Home Retail Limited (X = Date, Y = Severity)
Praxis Home Retail Limited cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Speedway (X = Date, Y = Severity)
Speedway cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Praxis Home Retail Limited
Speedway
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.