Comparison Overview
IFS Energy & Resources
IFS Energy & Resources
1670 Broadway, Suite 2800, Denver, CO, US, 80202
Last Update: 04/04/2026
IFS Energy and Resources is the world’s largest independent provider of software and data solutions exclusively serving the upstream oil and gas, mining, and resource industries. Professionals from more than 1,700 companies globally rely on IFS’ integrated oil and gas d...
YPF
Macacha Guemes 515, Capital Federal, ., AR
Last Update: 07/09/2026
Somos el mayor productor de Oil & Gas de la Argentina, con sólidos resultados y capacidad para llevar adelante los proyectos que convertirán al país en un exportador de energía a nivel mundial. Nuestro objetivo es convertirnos en una empresa no convencional de clase mu...
Compliance Ranges Comparison
IFS Energy & Resources
YPF
Benchmark & Cyber Underwriting Signals
Incidents vs Oil and Gas Industry Avg (This Year)
No incidents recorded for IFS Energy & Resources in 2026.
Incidents vs Oil and Gas Industry Avg (This Year)
No incidents recorded for YPF in 2026.
Incident History - IFS Energy & Resources (X = Date, Y = Severity)
IFS Energy & Resources cyber incidents detection timeline including parent company and subsidiaries.
Incident History - YPF (X = Date, Y = Severity)
YPF cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
IFS Energy & Resources
YPF
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.