Comparison Overview
S&P Global
S&P Global
55 Water Street, New York, 10041, US
Last Update: 09/09/2026
S&P Global (NYSE: SPGI) enables businesses, governments, and individuals with trusted data, expertise and technology to make decisions with conviction. We are Advancing Essential Intelligence through world-leading benchmarks, data, and insights that customers need in or...
L&T Finance
Plot no. 177, CST Road, Mumbai, 400 098, IN
Last Update: 08/09/2026
L&T Finance is one of the leading NBFCs offering a range of loans across Rural | Housing | Two-Wheeler | Personal & Business (SME) The company is promoted by Larsen and Toubro Ltd. (L&T), one of the largest conglomerates in India. LTF is publicly listed on both the exc...
Compliance Ranges Comparison
S&P Global
L&T Finance
Benchmark & Cyber Underwriting Signals
Incidents vs Financial Services Industry Avg (This Year)
S&P Global has 45.65% fewer incidents than the average of same-industry companies with at least one recorded incident.
Incidents vs Financial Services Industry Avg (This Year)
No incidents recorded for L&T Finance in 2026.
Incident History - S&P Global (X = Date, Y = Severity)
S&P Global cyber incidents detection timeline including parent company and subsidiaries.
Incident History - L&T Finance (X = Date, Y = Severity)
L&T Finance cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
S&P Global
L&T Finance
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.