Comparison Overview
Salesforce

Salesforce
415 Mission St, San Francisco, 94105, US
Last Update: 16/09/2026
We're the #1 AI CRM—where humans with agents drive customer success together with AI, data, and Customer 360 apps on one platform. Privacy Statement: http://www.salesforce.com/company/privacy/

Amazon Fulfillment Technologies & Robotics
300 Riverpark Drive, North Reading, MA, US, 01864
Last Update: 15/09/2026
On the Fulfillment Technologies & Robotics Team, we build dynamic partnerships between people and intelligent machines. This intricate collaboration helps Amazon fulfill orders with unmatched accuracy. Since we began working with robotics, we've added over a million new...
Compliance Ranges Comparison

Salesforce







Amazon Fulfillment Technologies & Robotics






Benchmark & Cyber Underwriting Signals
Incidents vs Software Development Industry Avg (This Year)
Salesforce has 3767.92% more incidents than the average of same-industry companies with at least one recorded incident.
Incidents vs Software Development Industry Avg (This Year)
No incidents recorded for Amazon Fulfillment Technologies & Robotics in 2026.
Incident History - Salesforce (X = Date, Y = Severity)
Salesforce cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Amazon Fulfillment Technologies & Robotics (X = Date, Y = Severity)
Amazon Fulfillment Technologies & Robotics cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Salesforce

Amazon Fulfillment Technologies & Robotics
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.