Comparison Overview
LSEG Data & Analytics
LSEG Data & Analytics
5 Canada Square, London, GB
Last Update: 14/03/2026
LSEG Data & Analytics is one of the world’s largest providers of financial markets data and infrastructure. With over 40,000 customers and 400,000 end users across approximately 190 markets, we are an essential partner to the financial community and redefining the futur...
Banco Davivienda
Avenida Calle 26 68C-61, Bogota, 110931, CO
Last Update: 16/09/2026
En Davivienda creemos en un mundo financiero sin barreras que facilite la vida a las personas, las empresas, las ciudades y municipios. Por esta razón hoy somos más de 19.000 personas innovando y creando cada día soluciones y ofertas exclusivas para 10 millones de clien...
Compliance Ranges Comparison
LSEG Data & Analytics
Banco Davivienda
Benchmark & Cyber Underwriting Signals
Incidents vs Financial Services Industry Avg (This Year)
No incidents recorded for LSEG Data & Analytics in 2026.
Incidents vs Financial Services Industry Avg (This Year)
No incidents recorded for Banco Davivienda in 2026.
Incident History - LSEG Data & Analytics (X = Date, Y = Severity)
LSEG Data & Analytics cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Banco Davivienda (X = Date, Y = Severity)
Banco Davivienda cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
LSEG Data & Analytics
Banco Davivienda
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.