Comparison Overview
Yotta Drishticam
Yotta Drishticam
Mumbai , 400076, IN
Last Update: 15/07/2026
Drishticam: AI-Powered Cloud-Based Smart Surveillance Security Platform-as-a-Service. Drishticam, an advanced AI-powered, cloud-based surveillance and video management service platform. Built on the robust multi-tenant VSaaS (Video Surveillance as a Service) software...
Zensar Technologies
Zensar Knowledge Park, Kharadi, Plot # 4, MIDC, Pune, Maharashtra, IN, 411014
Last Update: 17/09/2026
Zensar stands out as a premier technology consulting and services company, embracing an ‘experience-led everything’ philosophy. We are creators, thinkers, and problem solvers passionate about designing digital experiences that are engineered into scale-ready products, s...
Compliance Ranges Comparison
Yotta Drishticam
Zensar Technologies
Benchmark & Cyber Underwriting Signals
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
No incidents recorded for Yotta Drishticam in 2026.
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
No incidents recorded for Zensar Technologies in 2026.
Incident History - Yotta Drishticam (X = Date, Y = Severity)
Yotta Drishticam cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Zensar Technologies (X = Date, Y = Severity)
Zensar Technologies cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Yotta Drishticam
Zensar Technologies
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.