Comparison Overview
Asian Paints
Asian Paints
Asian Paints House, 6A Shantinagar, Santacruz (East), Mumbai, Maharashtra, IN, 400055
Last Update: 12/09/2026
They say home is where the heart is. Which is why, since 1942, we’ve been helping customers transform empty properties to homes by dressing them up in warm hues, pastel shades and cool colours, to create spaces that truly represent you. Asian Paints has a lot of identit...
Dräger
Moislinger Allee 53-55, Lübeck, 23552, DE
Last Update: 09/09/2026
Dräger is an international leader in the fields of medical and safety technology. The family-owned company was founded in Lübeck, Germany, in 1889. The company’s long-term success is based on the four key strengths of its value-driven culture: customer intimacy, profess...
Compliance Ranges Comparison
Asian Paints
Dräger
Benchmark & Cyber Underwriting Signals
Incidents vs Manufacturing Industry Avg (This Year)
No incidents recorded for Asian Paints in 2026.
Incidents vs Manufacturing Industry Avg (This Year)
No incidents recorded for Dräger in 2026.
Incident History - Asian Paints (X = Date, Y = Severity)
Asian Paints cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Dräger (X = Date, Y = Severity)
Dräger cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Asian Paints
Dräger
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.