Comparison Overview
SoftBank
SoftBank
海岸1-7-1, 港区, 105-7529, JP
Last Update: 01/04/2026
Embarking on a new stage of the Information Revolution with a "Beyond Carrier" strategy SoftBank Corp. (TOKYO: 9434) continues to push forward into a new stage of the Information Revolution by utilizing state-of-the-art technology such as AI, IoT, and robotics, and pl...
HCLTech
Noida, Uttar Pradesh, IN, 201301
Last Update: 11/09/2026
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
SoftBank
HCLTech
Benchmark & Cyber Underwriting Signals
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
No incidents recorded for SoftBank in 2026.
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 - SoftBank (X = Date, Y = Severity)
SoftBank 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
SoftBank
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.