Comparison Overview
F&Q Brasil
F&Q Brasil
Rua Girassol, 925, São Paulo, São Paulo, 05433-002, BR
Last Update: 28/11/2025
Somos uma agência de ideias. Não apenas boas ideias, mas ideias que funcionam. Ideias que são muito mais do que simples inspirações. São experiências, resultado do suor, do trabalho, da constante busca por informação e interação. Somos curiosos e apaixonados pelo que fa...
TBWA\Worldwide
220 E 42nd St, New York, 10017, US
Last Update: 13/09/2026
TBWA is The Disruption Company®. We are a Collective of creative minds with an unlimited creative canvas. We create brand platforms that defy convention and compete with culture. Thanks to our trademarked Disruption® methodology, we build the world’s strongest brands. B...
Compliance Ranges Comparison
F&Q Brasil
TBWA\Worldwide
Benchmark & Cyber Underwriting Signals
Incidents vs Advertising Services Industry Avg (This Year)
No incidents recorded for F&Q Brasil in 2026.
Incidents vs Advertising Services Industry Avg (This Year)
No incidents recorded for TBWA\Worldwide in 2026.
Incident History - F&Q Brasil (X = Date, Y = Severity)
F&Q Brasil cyber incidents detection timeline including parent company and subsidiaries.
Incident History - TBWA\Worldwide (X = Date, Y = Severity)
TBWA\Worldwide cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
F&Q Brasil
TBWA\Worldwide
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.