Comparison Overview
Department of Transport and Main Roads
Department of Transport and Main Roads
Phone: 13 23 80, Brisbane, Queensland, 4000, AU
Last Update: 05/12/2025
We are a department of more than 8,800 employees across the state. Our vision is to create a single integrated network accessible to everyone. No department has a bigger role to play in keeping the Queensland of today moving, or in helping build for the future. Each y...
INSS
SAS, Quadra 2, Bloco O, Brasília, 70070-907, BR
Last Update: 04/04/2026
O Instituto Nacional do Seguro Social (INSS) é uma autarquia do Governo Federal do Brasil que recebe as contribuições para a manutenção do Regime Geral da Previdência Social, sendo responsável pelo pagamento da aposentadoria, pensão por morte, auxílio-doença, auxílio-ac...
Compliance Ranges Comparison
Department of Transport and Main Roads
INSS
Benchmark & Cyber Underwriting Signals
Incidents vs Government Administration Industry Avg (This Year)
No incidents recorded for Department of Transport and Main Roads in 2026.
Incidents vs Government Administration Industry Avg (This Year)
INSS has 1.96% fewer incidents than the average of all companies with at least one recorded incident.
Incident History - Department of Transport and Main Roads (X = Date, Y = Severity)
Department of Transport and Main Roads cyber incidents detection timeline including parent company and subsidiaries.
Incident History - INSS (X = Date, Y = Severity)
INSS cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Department of Transport and Main Roads
INSS
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.