Comparison Overview
IDScan.net

IDScan.net
2045 Lakeshore Drive, New Orleans, 70122, US
Last Update: 11/09/2026
We build technology that builds trust. IDScan.net offers the leading AI-powered identity verification platform focusing on age validation and fraud reduction for compliance in both digital and physical environments.

Personal
Calle General Hornos 690, Comuna 1, Ciudad Autónoma de Buenos Aires, AR, 1272
Last Update: 13/09/2026
En Personal, ponemos a las personas en el centro. Somos el ecosistema de servicios de Telecom Argentina S.A. que conecta a cada persona con todo lo que le importa. Nuestra propuesta está pensada para que cada persona, comunidad y organización pueda avanzar, disfrutar y ...
Compliance Ranges Comparison

IDScan.net







Personal






Benchmark & Cyber Underwriting Signals
Incidents vs Technology, Information and Internet Industry Avg (This Year)
IDScan.net has 84.05% more incidents than the average of same-industry companies with at least one recorded incident.
Incidents vs Technology, Information and Internet Industry Avg (This Year)
No incidents recorded for Personal in 2026.
Incident History - IDScan.net (X = Date, Y = Severity)
IDScan.net cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Personal (X = Date, Y = Severity)
Personal cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

IDScan.net

Personal
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.