Comparison Overview
LISAA - L'Institut Supérieur des Arts Appliqués.

LISAA - L'Institut Supérieur des Arts Appliqués.
5 Rue Laromiguière, Paris, FR, 75005
Last Update: 19/03/2026
LISAA - L'Institut Supérieur des Arts Appliqués École d'enseignement supérieur privée du groupe international Galileo Global Education. 📍 Paris, Nantes, Rennes, Strasbourg, Bordeaux, Toulouse et Montpellier LISAA l'incubateur des esprits créatifs Animation & Jeu vid...

Temple University
1801 N Broad St, Philadelphia, Pennsylvania, US, 19122
Last Update: 12/09/2026
As the largest university in one of the nation’s most iconic cities, Temple educates diverse future leaders from across Philadelphia, the country and the world who share a common drive to learn, prepare for their careers and make a real impact. Founded as a night school...
Compliance Ranges Comparison

LISAA - L'Institut Supérieur des Arts Appliqués.







Temple University






Benchmark & Cyber Underwriting Signals
Incidents vs Higher Education Industry Avg (This Year)
No incidents recorded for LISAA - L'Institut Supérieur des Arts Appliqués. in 2026.
Incidents vs Higher Education Industry Avg (This Year)
No incidents recorded for Temple University in 2026.
Incident History - LISAA - L'Institut Supérieur des Arts Appliqués. (X = Date, Y = Severity)
LISAA - L'Institut Supérieur des Arts Appliqués. cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Temple University (X = Date, Y = Severity)
Temple University cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

LISAA - L'Institut Supérieur des Arts Appliqués.

Temple University
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