Comparison Overview
Irving Woodlands
Irving Woodlands
300 Union Street, Saint John, New Brunswick, E2L-4M3, CA
Last Update: 08/03/2026
Since 1882, Irving Woodlands has been investing in healthy, diverse and growing forests. We invest in our infrastructure, new and improved technology, scientific research, our employees and the communities where we live and operate.
APP Group
Sinar Mas Land Plaza, Tower II, 5th Floor. M.H Thamrin Street No.51, Jakarta, Central Jakarta, Special Capital Region of Jakarta, ID, 10350
Last Update: 03/04/2026
APP serves as the holding company for multiple Indonesia pulp and paper manufacturing as well as forestry entities, catering to the increasing global need for high-quality tissue, packaging, and paper. Our products reach over 150 countries spanning six continents. APP G...
Compliance Ranges Comparison
Irving Woodlands
APP Group
Benchmark & Cyber Underwriting Signals
Incidents vs Paper and Forest Product Manufacturing Industry Avg (This Year)
No incidents recorded for Irving Woodlands in 2026.
Incidents vs Paper and Forest Product Manufacturing Industry Avg (This Year)
No incidents recorded for APP Group in 2026.
Incident History - Irving Woodlands (X = Date, Y = Severity)
Irving Woodlands cyber incidents detection timeline including parent company and subsidiaries.
Incident History - APP Group (X = Date, Y = Severity)
APP Group cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Irving Woodlands
APP Group
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.