Comparison Overview
Composio
Composio
San Francisco, CA, US
Last Update: 16/09/2026
At Composio, We're building the future of Agentic Actions. We are empowering AI Agents to interact with hundreds of applications/tools and take autonomous actions, streamlining workflows and unlocking new possibilities. We're always on a lookout for great talent and...
N/A
Last Update: 09/09/2026
More than one billion people around the world use Instagram, and we’re proud to be bringing them closer to the people and things they love. Instagram inspires people to see the world differently, discover new interests, and express themselves. Since launching in 2010, ...
Compliance Ranges Comparison
Composio
Benchmark & Cyber Underwriting Signals
Incidents vs Software Development Industry Avg (This Year)
Composio has 6.54% fewer incidents than the average of same-industry companies with at least one recorded incident.
Incidents vs Software Development Industry Avg (This Year)
Instagram has 482.52% more incidents than the average of all companies with at least one recorded incident.
Incident History - Composio (X = Date, Y = Severity)
Composio cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Instagram (X = Date, Y = Severity)
Instagram cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Composio
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.