Comparison Overview
Fano (Fano Labs)

Fano (Fano Labs)
Units 1507 - 1511, 15/F, 19W, 19 Science Park Avenue West,, Hong Kong, 000000, HK
Last Update: 31/03/2026
Fano is an AI company specializing in speech and natural language processing technologies to help enterprises with their customer services, compliance, and other lines of businesses. We are particularly focusing on mixed languages in Hong Kong, Southeast Asia, and the M...

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Abu Dhabi, Abu Dhabi, AE
Last Update: 08/09/2026
We're a global technology group focused on innovation and collaboration to create a better future for all. Since 1976, we've been pioneering new technologies and expanding our reach to more people and places. Today, we provide services to over 163 million customers acro...
Compliance Ranges Comparison

Fano (Fano Labs)







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Benchmark & Cyber Underwriting Signals
Incidents vs Technology, Information and Internet Industry Avg (This Year)
No incidents recorded for Fano (Fano Labs) in 2026.
Incidents vs Technology, Information and Internet Industry Avg (This Year)
No incidents recorded for e& in 2026.
Incident History - Fano (Fano Labs) (X = Date, Y = Severity)
Fano (Fano Labs) cyber incidents detection timeline including parent company and subsidiaries.
Incident History - e& (X = Date, Y = Severity)
e& cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

Fano (Fano Labs)

e&
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