Comparison Overview
Amyx, Inc.
Amyx, Inc.
1768 Business Center Dr., Reston, Virginia, 20190, US
Last Update: 01/02/2026
At Amyx, Inc., a wholly owned subsidiary of Tetra Tech, our mission is to exceed our customer's expectations on every contract, to provide an environment that encourages, recognizes and rewards the extraordinary contributions of our employees, and to advance and support...
Accenture in India
IBC Knowledge Park,, Bengaluru, 560029, IN
Last Update: 10/09/2026
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations s...
Compliance Ranges Comparison
Amyx, Inc.
Accenture in India
Benchmark & Cyber Underwriting Signals
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
No incidents recorded for Amyx, Inc. in 2026.
Incidents vs IT Services and IT Consulting Industry Avg (This Year)
No incidents recorded for Accenture in India in 2026.
Incident History - Amyx, Inc. (X = Date, Y = Severity)
Amyx, Inc. cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Accenture in India (X = Date, Y = Severity)
Accenture in India cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Amyx, Inc.
Accenture in India
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.