Comparison Overview
KOLETHE CONSULTING INC.,

KOLETHE CONSULTING INC.,
Toronto, CA
Last Update: 17/11/2025
Specializing in the ETA model, Kolethe Consulting operates as an entrepreneurial force in the quest to enhance the growth of profitable SMEs. Our approach aims to revolutionize well-established SMEs into streamlined powerhouses for growth by implementing ambitious strat...

Globant
875 Howard St, San Francisco, 94103, US
Last Update: 09/09/2026
At Globant, we create the digitally-native products that people love. We bridge the gap between businesses and consumers through technology and creativity, leveraging our experience as an AI powerhouse. We dare to digitally transform organizations and strive to delight ...
Compliance Ranges Comparison

KOLETHE CONSULTING INC.,







Globant






Benchmark & Cyber Underwriting Signals
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
No incidents recorded for KOLETHE CONSULTING INC., in 2026.
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
No incidents recorded for Globant in 2026.
Incident History - KOLETHE CONSULTING INC., (X = Date, Y = Severity)
KOLETHE CONSULTING INC., cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Globant (X = Date, Y = Severity)
Globant cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

KOLETHE CONSULTING INC.,

Globant
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.