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24,650 Internet-Exposed BMCs Disclose IPMI Password Hashes Before Login

thehackernews.com 2026-07-28 AI supply chain Medium

What Happened

Cybersecurity researchers have sounded an alert after finding more than 36,000 Baseboard Management Controller (BMC) management interfaces exposing Intelligent Platform Management Interface (IPMI) protocol to the public internet. Of the 36,872 internet-exposed server-management interfaces running IPMI, 24,650 have been found to disclose password-derived authentication hashes before login due to

Why It Matters

Researchers report that 36,872 internet-exposed BMC IPMI interfaces were found, of which 24,650 disclose password-derived authentication hashes before login due to the long-known IPMI v2.0 design issue tracked as CVE-2013-4786.[2] This flaw lets remote attackers obtain HMAC-SHA1 authentication material from BMCs and perform offline password-cracking, with thousands of systems still using weak or default credentials.[2][1] From a RealGround perspective, this illustrates a critical supply-chain and infrastructure-layer weakness that can undermine any AI or data workloads hosted on affected servers, including model storage and training pipelines. Organizations should treat BMC/IPMI exposure as an AI supply chain risk: ensure management networks are isolated, block IPMI from the public internet, rotate factory credentials, disable legacy IPMI options where possible, and incorporate BMC/IPMI checks into AI infrastructure security reviews and SBOM-driven asset inventories.

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RealGround Analysis

This signal maps to AI supply chain. Organizations using AI agents, LLM APIs, SaaS integrations, or sensitive data workflows should review whether this class of issue could create unauthorized tool execution, data leakage, weak approval gates, or unmanaged supply-chain exposure.

Recommended Actions

  • Restrict AI agent tool permissions and production write paths.
  • Review sensitive data access across prompts, logs, embeddings, memory, and SaaS integrations.
  • Add human approval workflows for high-impact or state-changing actions.
  • Run prompt injection and indirect prompt injection tests against affected workflows.
  • Document the owner, control gap, and remediation deadline for this risk class.

Source

https://thehackernews.com/2026/07/24650-internet-exposed-bmcs-disclose.html

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