ArcelorMittal México A.I CyberSecurity Scoring
03/04/2026
Access Monitoring Plan
Access Monitoring Plan
No incidents recorded for ArcelorMittal México in 2026.
No incidents recorded for ArcelorMittal México in 2026.
No incidents recorded for ArcelorMittal México in 2026.
Latest updates, reports, and threat intel affecting the global network.
A strong explosion rocked steelmaker ArcelorMittal's facilities in the Pacific town of Lazaro Cardenas in Mexico on Monday, the firm said.
ArcelorMittal, the world's second largest steelmaker, has not increased steel shipments into the United States to get ahead of President Donald Trump's...
Steelmaker ArcelorMittal said on Thursday that a 55-day blockade at one of its sites in Mexico ended after workers approved a new settlement...
An ongoing "illegal blockade" at ArcelorMittal's western Mexico site since the end of May has now held up an estimated 300000 metric tons of...
On June 17, representatives of major steel producer ArcelorMittal and the National Labor Union of Mining Workers (SNTMMS) reached an...
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.
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.
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.
curl -i -X GET 'https://api.rankiteo.com/underwriter-getcompany-history?
linkedin_id=axa' -H 'apikey: YOUR_API_KEY_HERE'
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