Comparison Overview
Nordstrom

Nordstrom
1600 7th Ave, Seattle, Washington, US, 98101
Last Update: 05/09/2026
At Nordstrom, we empower our employees to set their sights high and blaze their own trails. This is a place where your success and growth are truly a result of your own efforts and achievements. Our teams are made up of motivated people who work hard to become leade...

PetSmart
19601 N. 27th Avenue, Phoenix, 85027, US
Last Update: 29/03/2026
At PetSmart, we’ll do Anything for Pets. ❤️🐾 And the people who love them! Because we’re those people, too. Pets inspire and motivate us to bring our best selves to work each day. Our associates are devoted to ensuring that pets’ lives are happy and healthy. So, natura...
Compliance Ranges Comparison

Nordstrom







PetSmart






Benchmark & Cyber Underwriting Signals
Incidents vs Retail Industry Avg (This Year)
Nordstrom has 44.44% fewer incidents than the average of same-industry companies with at least one recorded incident.
Incidents vs Retail Industry Avg (This Year)
No incidents recorded for PetSmart in 2026.
Incident History - Nordstrom (X = Date, Y = Severity)
Nordstrom cyber incidents detection timeline including parent company and subsidiaries.
Incident History - PetSmart (X = Date, Y = Severity)
PetSmart cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Nordstrom

PetSmart
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.