Comparison Overview
Tata Communications
Tata Communications
Tata Communications Ltd, Mumbai, 400070, IN
Last Update: 07/09/2026
Tata Communications is a digital ecosystem enabler that powers today’s fast-growing digital economy. We enable the digital transformation of enterprises globally, including 300 of the Fortune 500. We carry around 30% of the world’s internet routes and connects businesse...
ZTE Corporation
ZTE Corporation Hi-Tech Road South, Shenzhen, 518057, CN
Last Update: 07/09/2026
ZTE connects the world with continuous innovation for a better future. The company provides innovative technologies and integrated solutions, and its portfolio spans communication networks, computing infrastructure, industry digital solutions, and personal and home sm...
Compliance Ranges Comparison
Tata Communications
ZTE Corporation
Benchmark & Cyber Underwriting Signals
Incidents vs Telecommunications Industry Avg (This Year)
No incidents recorded for Tata Communications in 2026.
Incidents vs Telecommunications Industry Avg (This Year)
No incidents recorded for ZTE Corporation in 2026.
Incident History - Tata Communications (X = Date, Y = Severity)
Tata Communications cyber incidents detection timeline including parent company and subsidiaries.
Incident History - ZTE Corporation (X = Date, Y = Severity)
ZTE Corporation cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Tata Communications
ZTE Corporation
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.