Comparison Overview
Sparkasse Langen-Seligenstadt

Sparkasse Langen-Seligenstadt
Frankfurter Straße 137, Seligenstadt, 63500, DE
Last Update: 21/04/2026
Mit unseren rund 600 Mitarbeiterinnen und Mitarbeitern sowie einer Bilanzsumme von rund 5 Milliarden Euro engagieren wir uns für die Menschen und Unternehmen im Kreis Offenbach. Als lokal verankertes Kreditinstitut zeigen wir uns verantwortlich für das Gemeinwohl und u...

Discover
2500 Lake Cook Road, Riverwoods, IL, US, 60015
Last Update: 16/09/2026
Discover® is now part of Capital One. Together, we’ll continue to deliver exceptional financial products and experiences, drive innovation, and serve customers. Find the latest updates at https://capitalonediscover.com. Discover is one of the most recognized brands in ...
Compliance Ranges Comparison

Sparkasse Langen-Seligenstadt







Discover






Benchmark & Cyber Underwriting Signals
Incidents vs Financial Services Industry Avg (This Year)
No incidents recorded for Sparkasse Langen-Seligenstadt in 2026.
Incidents vs Financial Services Industry Avg (This Year)
No incidents recorded for Discover in 2026.
Incident History - Sparkasse Langen-Seligenstadt (X = Date, Y = Severity)
Sparkasse Langen-Seligenstadt cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Discover (X = Date, Y = Severity)
Discover cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Sparkasse Langen-Seligenstadt

Discover
FAQ
Latest Global CVEs
A vulnerability was determined in xuxueli xxl-job up to 3.5.0. The impacted element is an unknown function of the file /jobgroup/insert. This manipulation of the argument Name causes cross site scripting. The attack can be initiated remotely. The exploit has been publicly disclosed and may be utilized. The vendor was contacted early about this disclosure but did not respond in any way.
A vulnerability was found in Moore Threads MTT S80 Driver Package 340.150. The affected element is the function sub_140006F0C in the library mtdispkm64.sys of the component IOCTL Handler. The manipulation results in improper privilege management. Attacking locally is a requirement. The vendor was contacted early about this disclosure but did not respond in any way.
vLLM Mooncake connector through 0.29.0 fails to properly manage GPU KV cache block ownership when concurrent child requests share a single transfer ID in prefill/decode disaggregated deployments. Attackers can trigger GPU memory exhaustion by submitting completion requests with multiple prompts, causing orphaned KV cache blocks to accumulate until process restart and eventually preventing legitimate requests from executing.
- https://github.com/vllm-project/vllm
- https://github.com/vllm-project/vllm/blob/v0.29.0/vllm/distributed/kv_transfer/kv_connector/v1/mooncake/mooncake_connector.py#L1978-L1989
- https://github.com/vllm-project/vllm/pull/49796
- https://www.vulncheck.com/advisories/vllm-through-0.29.0-gpu-kv-cache-leak-via-mooncake-transfer-id-collision
vLLM through 0.29.0 fails to validate the tp_size parameter in kv_transfer_params on OpenAI-compatible completion endpoints, allowing attackers to allocate unbounded memory. Attackers can supply arbitrary tp_size values in prefill/decode disaggregated deployments to exhaust memory and trigger kernel OOM-kill of the decode worker process.
- https://github.com/vllm-project/vllm
- https://github.com/vllm-project/vllm/blob/v0.29.0/vllm/distributed/kv_transfer/kv_connector/utils.py#L569-L573
- https://github.com/vllm-project/vllm/blob/v0.29.0/vllm/distributed/kv_transfer/kv_connector/v1/nixl/metadata.py#L277
- https://github.com/vllm-project/vllm/pull/51137
- https://www.vulncheck.com/advisories/vllm-through-0.29.0-memory-exhaustion-via-unvalidated-nixl-tp-size
vLLM through 0.29.0 contains a resource exhaustion vulnerability in MooncakeConnector where rejected prefill requests create ownerless transfer placeholders that are never reclaimed. Attackers can send rejected requests to exhaust sender task pools, causing valid requests to be delayed by up to 480 seconds while health checks continue returning success.
- https://github.com/vllm-project/vllm
- https://github.com/vllm-project/vllm/blob/v0.29.0/vllm/distributed/kv_transfer/kv_connector/v1/mooncake/mooncake_connector.py#L1234-L1242
- https://github.com/vllm-project/vllm/pull/51236
- https://www.vulncheck.com/advisories/vllm-through-0.29.0-resource-exhaustion-via-ownerless-mooncake-transfer-placeholders