Comparison Overview
IPG Mediabrands Hungary
IPG Mediabrands Hungary
Vajdahunyad utca 41- 43, Budapest, undefined, 1082, HU
Last Update: 02/12/2025
We are IPG Mediabrands, a client-first, consulting-led, community-driven group of 13,000 media and marketing specialists in over 130 countries on a mission to ensure our clients win in the marketplace. Through our portfolio of brands, and culture of collaboration, we of...
VML
3 WTC 175 Greenwich Street, New York, New York, US
Last Update: 15/09/2026
VML is a global powerhouse born from the unification of Wunderman Thompson and VMLY&R — two of the world's most powerful and accomplished creative agencies with complementary capabilities and geographic strengths. We have an industry-unique opportunity to provide our cl...
Compliance Ranges Comparison
IPG Mediabrands Hungary
VML
Benchmark & Cyber Underwriting Signals
Incidents vs Advertising Services Industry Avg (This Year)
No incidents recorded for IPG Mediabrands Hungary in 2026.
Incidents vs Advertising Services Industry Avg (This Year)
No incidents recorded for VML in 2026.
Incident History - IPG Mediabrands Hungary (X = Date, Y = Severity)
IPG Mediabrands Hungary cyber incidents detection timeline including parent company and subsidiaries.
Incident History - VML (X = Date, Y = Severity)
VML cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents
IPG Mediabrands Hungary
VML
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.