Comparison Overview
GITSIT Solutions
GITSIT Solutions
333 S Anita Dr, Orange, 92868, US
Last Update: 29/03/2026
GitSit Solutions, LLC is a fully integrated digital and on-premises whole loan mortgage investment, trading, technology, and servicing specialty finance company. The Company is named after its ethos for excellence in customer service to Get In Touch, Stay In Touch with ...
FactSet
43 Glover Ave, Norwalk, Connecticut, US, 06850
Last Update: 01/04/2026
FactSet creates flexible, open data and software solutions for tens of thousands of investment professionals around the world, providing instant access to financial data and analytics that investors use to make crucial decisions. For 40 years, through market changes a...
Compliance Ranges Comparison
GITSIT Solutions
FactSet
Benchmark & Cyber Underwriting Signals
Incidents vs Financial Services Industry Avg (This Year)
No incidents recorded for GITSIT Solutions in 2026.
Incidents vs Financial Services Industry Avg (This Year)
FactSet has 2.91% fewer incidents than the average of all companies with at least one recorded incident.
Incident History - GITSIT Solutions (X = Date, Y = Severity)
GITSIT Solutions cyber incidents detection timeline including parent company and subsidiaries.
Incident History - FactSet (X = Date, Y = Severity)
FactSet cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
GITSIT Solutions
FactSet
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.