Comparison Overview
Transportation Security Administration (TSA)
Transportation Security Administration (TSA)
601 12th Street South, Arlington, 22202, US
Last Update: 02/04/2026
The Transportation Security Administration (TSA) is a component agency of the U.S. Department of Homeland Security (DHS), committed to securing the nation’s transportation systems to ensure safe and efficient travel for all. Our mission is to protect the American people...
Nav
Fyrstikkalléen 1, Oslo, 0661, NO
Last Update: 02/04/2026
Nav er en viktig del av sikkerhetsnettet i velferdsstaten. Vi skal bidra til at flere kommer i arbeid og færre går på stønad, og samtidig sørge for at de som trenger det er sikra inntekt og økonomisk trygghet gjennom rett pengestøtte til rett tid. For å løse dette samf...
Compliance Ranges Comparison
Transportation Security Administration (TSA)
Nav
Benchmark & Cyber Underwriting Signals
Incidents vs Government Administration Industry Avg (This Year)
No incidents recorded for Transportation Security Administration (TSA) in 2026.
Incidents vs Government Administration Industry Avg (This Year)
No incidents recorded for Nav in 2026.
Incident History - Transportation Security Administration (TSA) (X = Date, Y = Severity)
Transportation Security Administration (TSA) cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Nav (X = Date, Y = Severity)
Nav cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Transportation Security Administration (TSA)
Nav
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.