Comparison Overview
D-Fend Solutions

D-Fend Solutions
Ra'anana, 4366241, IL
Last Update: 21/03/2026
D-Fend Solutions is the leading counter-drone, RF cyber-takeover technology provider, enabling control, safety and continuity during rogue drone incidents to overcome both current and emerging drone threats in complex and sensitive environments. With hundreds of deploym...

Rheinmetall
Rheinmetall Platz 1, Düsseldorf, Nordrhein Westfalen, DE, 40476
Last Update: 16/09/2026
As an integrated technology group, the listed company Rheinmetall AG, headquartered in Düsseldorf, stands for a company that is as strong in substance as it is successful internationally, and that is active in various markets with an innovative range of products and ser...
Compliance Ranges Comparison

D-Fend Solutions







Rheinmetall






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

D-Fend Solutions

Rheinmetall
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.