Comparison Overview
Tata Technologies Limited (Incat)
Tata Technologies Limited (Incat)
N/A
Last Update: 02/04/2026
WHO WE ARE Tata Technologies Limited (TTL) is a global product engineering and digital services company focused on fulfilling its mission of helping the world drive, fly, build, and farm by enabling global OEMs and their ecosystem of partners across the automotive, indu...
TELUS Digital
510 West Georgia Street, Vancouver, V6B 0M3, CA
Last Update: 13/09/2026
TELUS Digital crafts unique and enduring experiences for customers and employees, and creates future-focused digital transformations that stand the test of time. We are the brand behind the brands. Our global team members are both passionate ambassadors of our clients’ ...
Compliance Ranges Comparison
Tata Technologies Limited (Incat)
TELUS Digital
Benchmark & Cyber Underwriting Signals
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
No incidents recorded for Tata Technologies Limited (Incat) in 2026.
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
TELUS Digital has 94.17% more incidents than the average of all companies with at least one recorded incident.
Incident History - Tata Technologies Limited (Incat) (X = Date, Y = Severity)
Tata Technologies Limited (Incat) cyber incidents detection timeline including parent company and subsidiaries.
Incident History - TELUS Digital (X = Date, Y = Severity)
TELUS Digital cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Tata Technologies Limited (Incat)
TELUS Digital
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.