Comparison Overview
Toptal Developers
Toptal Developers
undefined, Work from Anywhere, Remote, undefined, undefined, US
Last Update: 22/05/2026
Toptal Developers is a network of the world’s top 3% of software engineering talent -- available on demand to help companies accelerate, adapt, and scale. With $100+ million in annual revenue and triple-digit growth, Toptal is the largest fully distributed workforce in ...
Swiggy
Bengaluru, Karnataka, IN
Last Update: 12/09/2026
Swiggy is India’s pioneering on-demand convenience platform, catering to millions of consumers each month. Founded in 2014, its mission is to elevate the quality of life for the urban consumer by offering unparalleled convenience. With an extensive footprint in food del...
Compliance Ranges Comparison
Toptal Developers
Swiggy
Benchmark & Cyber Underwriting Signals
Incidents vs Technology, Information and Internet Industry Avg (This Year)
No incidents recorded for Toptal Developers in 2026.
Incidents vs Technology, Information and Internet Industry Avg (This Year)
No incidents recorded for Swiggy in 2026.
Incident History - Toptal Developers (X = Date, Y = Severity)
Toptal Developers cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Swiggy (X = Date, Y = Severity)
Swiggy cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Toptal Developers
Swiggy
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.