Comparison Overview
Climate
Climate
4 CityPlace Dr., Suite 100, St. Louis, Missouri, US, 63141
Last Update: 01/04/2026
Climate’s mission is to help the world’s farmers sustainably increase productivity with digital tools. As part of the Bayer Crop Science division, we deliver technology breakthroughs powered by agronomic science, data science, software and hardware engineering, and r...
YouTube
901 Cherry Ave., San Bruno, 94066, US
Last Update: 14/09/2026
YouTube is a team-oriented, creative workplace where every single employee has a voice in the choices we make and the features we implement. We work together in small teams to design, develop, and roll out key features and products in very short time frames. Which means...
Compliance Ranges Comparison
Climate
YouTube
Benchmark & Cyber Underwriting Signals
Incidents vs Technology, Information and Internet Industry Avg (This Year)
No incidents recorded for Climate in 2026.
Incidents vs Technology, Information and Internet Industry Avg (This Year)
YouTube has 94.17% more incidents than the average of all companies with at least one recorded incident.
Incident History - Climate (X = Date, Y = Severity)
Climate cyber incidents detection timeline including parent company and subsidiaries.
Incident History - YouTube (X = Date, Y = Severity)
YouTube cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Climate
YouTube
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.