Comparison Overview
Sylvan Technologies Limited
Sylvan Technologies Limited
PRAN Center, 105 Middle Badda, , Dhaka, 1212, BD
Last Update: 21/04/2026
Sylvan Technologies Limited (STL), an enterprise of PRAN-RFL Group, is established in 2014 and headquartered in Dhaka, Bangladesh. STL Excels in the fields of engineering, construction, technical services & innovation.
Atkins
Ashley Road, Epsom, KT18 5BW, GB
Last Update: 13/09/2026
Atkins is now AtkinsRéalis. Please follow AtkinsRéalis on LinkedIn. We are a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world’s infrastructure and energy systems. Together, with our industry part...
Compliance Ranges Comparison
Sylvan Technologies Limited
Atkins
Benchmark & Cyber Underwriting Signals
Incidents vs Engineering Services Industry Avg (This Year)
No incidents recorded for Sylvan Technologies Limited in 2026.
Incidents vs Engineering Services Industry Avg (This Year)
No incidents recorded for Atkins in 2026.
Incident History - Sylvan Technologies Limited (X = Date, Y = Severity)
Sylvan Technologies Limited cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Atkins (X = Date, Y = Severity)
Atkins cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Sylvan Technologies Limited
Atkins
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.