Comparison Overview
T-Systems International
T-Systems International
Hahnstraße 43d, Frankfurt am Main, 60528, DE
Last Update: 13/09/2026
Your digitalization partner with industry expertise With locations in more than 26 countries and over 26,000 employees (2024), T-Systems is one of the leading providers of digital services in Europe. The Deutsche Telekom subsidiary is headquartered in Germany and has a...
GFT Technologies
Schelmenwasenstr. 34, Stuttgart, 70567, DE
Last Update: 01/04/2026
GFT Technologies is an AI-centric global digital transformation company. We design advanced data and AI transformation solutions, modernize technology architectures and develop next-generation core systems for industry leaders in Banking, Insurance, Manufacturing and Ro...
Compliance Ranges Comparison
T-Systems International
GFT Technologies
Benchmark & Cyber Underwriting Signals
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
No incidents recorded for T-Systems International in 2026.
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
No incidents recorded for GFT Technologies in 2026.
Incident History - T-Systems International (X = Date, Y = Severity)
T-Systems International cyber incidents detection timeline including parent company and subsidiaries.
Incident History - GFT Technologies (X = Date, Y = Severity)
GFT Technologies cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
T-Systems International
GFT 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.