Comparison Overview
NovogeneAIT Genomics
NovogeneAIT Genomics
11 Biopolis Way, Singapore, undefined, 138667 , SG
Last Update: 14/07/2026
NovogeneAIT Genomics, headquartered in Singapore, is a premier provider of multi-omics services and solutions. Established in 2016 through a strategic joint venture between Novogene and AITbiotech, we have grown to be one of the largest NGS service providers in Southeas...
Charles River Laboratories
251 Ballardvale Street, Wilmington, Massachusetts, US, 01887
Last Update: 11/09/2026
At Charles River, we are guided by our strong purpose—to create healthier lives—which centers around the patients who rely on the therapeutics we help to develop, the animals in our care, to our planet, and to the passionate and skilled people who are at the heart of ou...
Compliance Ranges Comparison
NovogeneAIT Genomics
Charles River Laboratories
Benchmark & Cyber Underwriting Signals
Incidents vs Biotechnology Research Industry Avg (This Year)
No incidents recorded for NovogeneAIT Genomics in 2026.
Incidents vs Biotechnology Research Industry Avg (This Year)
No incidents recorded for Charles River Laboratories in 2026.
Incident History - NovogeneAIT Genomics (X = Date, Y = Severity)
NovogeneAIT Genomics cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Charles River Laboratories (X = Date, Y = Severity)
Charles River Laboratories cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
NovogeneAIT Genomics
Charles River Laboratories
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.