Comparison Overview
VGRD

VGRD
Wolfsburg, Niedersachsen 38442, DE, Wolfsburg, Niedersachsen 38442, DE
Last Update: 23/04/2026
VGRD GmbH (Volkswagen Group Retail Germany) is the automotive retail group of the Volkswagen Group and comprises more than 100 dealerships. We offer the entire range of new vehicles, used cars as well as workshop and services for the Group brands Volkswagen Passenger Ca...

Tenneco
15701 Technology Dr., Northville, Michigan, US, 48168
Last Update: 12/09/2026
We’re united by one purpose: to be the most trusted partner and the best manufacturer and distributor to the transportation industry. And we’re doing it by leaning into the one thing no one can copy: our culture — our sustainable competitive advantage. The Tenneco Way ...
Compliance Ranges Comparison

VGRD







Tenneco






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

VGRD

Tenneco
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.