Comparison Overview
QLOE

QLOE
Rua Dianópolis 1070 - Vila Prudente, São Paulo, 03126-007, BR
Last Update: 13/12/2025
QLOE: Revolutionizing Data Center Cooling with Plant-Based Immersion Cooling Liquids. Oleon's immersion cooling liquids are designed with safety, sustainability, and performance at their core. Developed by in house expert chemists, these fluids offer exceptional dielec...

Airgas
259 N. Radnor-Chester Road, Radnor, 19087, US
Last Update: 14/09/2026
Airgas, an Air Liquide company, is a leading U.S. supplier of industrial, medical and specialty gases, as well as hardgoods and related products; one of the largest U.S. suppliers of safety products; and a leading U.S. supplier of ammonia products and process chemicals....
Compliance Ranges Comparison

QLOE







Airgas






Benchmark & Cyber Underwriting Signals
Incidents vs Chemical Manufacturing Industry Avg (This Year)
No incidents recorded for QLOE in 2026.
Incidents vs Chemical Manufacturing Industry Avg (This Year)
No incidents recorded for Airgas in 2026.
Incident History - QLOE (X = Date, Y = Severity)
QLOE cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Airgas (X = Date, Y = Severity)
Airgas cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

QLOE

Airgas
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.