Comparison Overview
Torrent Pharmaceuticals Ltd
Torrent Pharmaceuticals Ltd
Torrent Pharmaceuticals Ltd, Ahmedabad, 380015, IN
Last Update: 13/09/2026
Torrent Pharma, with annual revenues of more than Rs 10,700 crores, is the flagship Company of the Torrent Group, with group revenues of Rs 41,000 crores. It is ranked 5th in the Indian Pharma Market and is among the Top 5 in the therapeutic segments of Cardiovascular (...
Alembic Pharmaceuticals Limited
Alembic Road, Vadodara, 390003, IN
Last Update: 12/09/2026
Established in 1907, Alembic Pharmaceuticals Limited is a leading pharmaceutical company in India. The Company is vertically integrated with the ability to develop, manufacture and market pharmaceutical products, pharmaceutical substances and Intermediates. Alembic is t...
Compliance Ranges Comparison
Torrent Pharmaceuticals Ltd
Alembic Pharmaceuticals Limited
Benchmark & Cyber Underwriting Signals
Incidents vs Pharmaceutical Manufacturing Industry Avg (This Year)
No incidents recorded for Torrent Pharmaceuticals Ltd in 2026.
Incidents vs Pharmaceutical Manufacturing Industry Avg (This Year)
No incidents recorded for Alembic Pharmaceuticals Limited in 2026.
Incident History - Torrent Pharmaceuticals Ltd (X = Date, Y = Severity)
Torrent Pharmaceuticals Ltd cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Alembic Pharmaceuticals Limited (X = Date, Y = Severity)
Alembic Pharmaceuticals Limited cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Torrent Pharmaceuticals Ltd
Alembic Pharmaceuticals Limited
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.