Comparison Overview
Black Talon Security
Black Talon Security
2875 Route 35, Katonah, 10536, US
Last Update: 10/03/2026
Black Talon Security is a dedicated cybersecurity company that goes above and beyond traditional IT measures to provide increased protection against cyber threats. We understand that simply deploying threat detection tools and network monitoring is not enough to ensure ...
NETWORK-SECURITY-SOLUTIONS
Suwalska 19/1, Poznan, 60-461, PL
Last Update: 13/09/2026
## Our core business We manage linux / unix server infrastructures and build the efficient and secure networking environments using hardware cutting edge technologies suited to the needs of the project and the client. We believe in quality, opposed to quantity. O...
Compliance Ranges Comparison
Black Talon Security
NETWORK-SECURITY-SOLUTIONS
Benchmark & Cyber Underwriting Signals
Incidents vs Computer and Network Security Industry Avg (This Year)
No incidents recorded for Black Talon Security in 2026.
Incidents vs Computer and Network Security Industry Avg (This Year)
No incidents recorded for NETWORK-SECURITY-SOLUTIONS in 2026.
Incident History - Black Talon Security (X = Date, Y = Severity)
Black Talon Security cyber incidents detection timeline including parent company and subsidiaries.
Incident History - NETWORK-SECURITY-SOLUTIONS (X = Date, Y = Severity)
NETWORK-SECURITY-SOLUTIONS cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
Black Talon Security
NETWORK-SECURITY-SOLUTIONS
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.