Comparison Overview
Alibaba Cloud Global

Alibaba Cloud Global
Alibaba Apsara Campus, Shilongshan Rd , Hangzhou, 311121, CN
Last Update: 03/07/2026
Alibaba Cloud is a global leader in full-stack artificial intelligence services, offering state-of-the-art intelligent capabilities and a worldwide AI cloud computing network, providing developer-friendly AI services across the globe. Qwen (Chinese: Tongyi Qianwen) is a...

HCLTech
Noida, Uttar Pradesh, IN, 201301
Last Update: 19/09/2026
HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around AI, digital, engineering, cloud and software, powered by a broad portfolio of technology services and products. We work...
Compliance Ranges Comparison

Alibaba Cloud Global







HCLTech






Benchmark & Cyber Underwriting Signals
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
Alibaba Cloud Global has 32.89% fewer incidents than the average of same-industry companies with at least one recorded incident.
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
HCLTech has 2.91% fewer incidents than the average of all companies with at least one recorded incident.
Incident History - Alibaba Cloud Global (X = Date, Y = Severity)
Alibaba Cloud Global cyber incidents detection timeline including parent company and subsidiaries.
Incident History - HCLTech (X = Date, Y = Severity)
HCLTech cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Alibaba Cloud Global

HCLTech
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.