AI Security AI安全 3d ago Updated 3d ago 更新于 3天前 48

Attackers Exploit MLflow SSRF Flaw to Steal Cloud Credentials and Secrets 攻击者利用MLflow SSRF漏洞窃取云凭据和密钥

CVE-2026-64849 (CVSS 9.3): Unauthenticated SSRF in MLflow model-registry webhooks allows attackers to proxy requests through the server to internal cloud metadata endpoints, exfiltrating credentials and secrets; affects versions below 3.15.0 CVE-2026-25895 (CVSS 9.5): Missing authentication combined with path traversal in FUXA SCADA/HMI software enables unauthenticated remote attackers to write arbitrary files and achieve remote code execution; affects versions 1.2.9 and below Both vulnerabiliti MLflow曝出CVE-2026-64849 SSRF漏洞(CVSS 9.3),攻击者可通过模型注册表webhooks代理请求访问云元数据服务,窃取云凭证和密钥 FUXA存在CVE-2026-25895漏洞(CVSS 9.5),涉及关键功能认证缺失和路径遍历,可导致远程代码执行 攻击活动极为迅速,MLflow漏洞在CVE分配后数小时内即遭大规模扫描,FUXA漏洞次日亦被发现恶意扫描 受影响系统:MLflow版本<3.15.0,FUXA版本<=1.2.9,约60个FUXA实例已暴露在公网

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Hot 热度
62
Quality 质量
68
Impact 影响力

Analysis 深度分析

TL;DR

  • CVE-2026-64849 (CVSS 9.3): Unauthenticated SSRF in MLflow model-registry webhooks allows attackers to proxy requests through the server to internal cloud metadata endpoints, exfiltrating credentials and secrets; affects versions below 3.15.0
  • CVE-2026-25895 (CVSS 9.5): Missing authentication combined with path traversal in FUXA SCADA/HMI software enables unauthenticated remote attackers to write arbitrary files and achieve remote code execution; affects versions 1.2.9 and below
  • Both vulnerabilities are under active exploitation in the wild, with malicious scanning detected within hours of CVE assignment (August 17–18, 2026)
  • The MLflow SSRF bypasses prior security fixes due to how the system handles HTTP redirects, targeting cloud-hosted instances to extract secrets from well-known internal IP addresses
  • Approximately 60 FUXA installations are exposed to the public internet, with a single IP observed broadly scanning for vulnerable instances

Why It Matters

This highlights the critical intersection of AI infrastructure security and operational technology risk, as widely deployed open-source tools like MLflow and FUXA are being rapidly exploited in the wild. AI practitioners running MLflow on cloud environments face immediate credential theft risks, while OT/industrial sectors relying on FUXA face potential remote code execution — demonstrating how vulnerabilities in seemingly niche tools can cascade into severe cloud and industrial compromises.

Technical Details

  • CVE-2026-64849 (MLflow SSRF): The vulnerability resides in MLflow's model-registry webhook handler, which fails to properly restrict outbound HTTP requests. Attackers can supply arbitrary URLs that the server proxies, enabling access to cloud metadata services (e.g., AWS EC2, GCP, Azure instance metadata endpoints at 169.254.169.254). The flaw bypasses prior redirect-handling fixes, indicating a deeper architectural issue in request validation logic.
  • CVE-2026-25895 (FUXA): A dual-flaw combining missing authentication on a critical file-write endpoint and a path traversal vulnerability. Attackers can overwrite server-side JavaScript files (e.g., main.js) with arbitrary content, leading to remote code execution. The attack chain requires no credentials and can be executed over the public internet.
  • Active exploitation evidence: watchTowr's global honeypot telemetry confirmed attackers targeting cloud-hosted MLflow instances for credential exfiltration. VulnCheck observed a single IP conducting broad internet scans for FUXA instances starting August 18, 2026, with attempts to overwrite main.js using junk data payloads.
  • Historical context: FUXA has a pattern of active exploitation — CVE-2026-25939 and CVE-2023-33831 have also seen sustained attack activity, with the latter dating back to November 2025.

Industry Insight

  • Organizations running MLflow must urgently patch to version 3.15.0 or later, audit access logs for anomalous webhook requests, and rotate any cloud credentials that may have been exposed — treat this as an active breach scenario, not a theoretical risk.
  • OT and industrial automation teams should immediately isolate FUXA instances from the public internet; with only ~60 exposed installations and active scanning underway, the window for preventive action is narrow and closing.
  • The rapid exploitation timeline (hours from CVE publication) underscores the need for automated vulnerability management and proactive threat intelligence integration — waiting for vendor patches is no longer a viable strategy for exposed internet-facing services.

TL;DR

  • MLflow曝出CVE-2026-64849 SSRF漏洞(CVSS 9.3),攻击者可通过模型注册表webhooks代理请求访问云元数据服务,窃取云凭证和密钥
  • FUXA存在CVE-2026-25895漏洞(CVSS 9.5),涉及关键功能认证缺失和路径遍历,可导致远程代码执行
  • 攻击活动极为迅速,MLflow漏洞在CVE分配后数小时内即遭大规模扫描,FUXA漏洞次日亦被发现恶意扫描
  • 受影响系统:MLflow版本<3.15.0,FUXA版本<=1.2.9,约60个FUXA实例已暴露在公网

为什么值得看

本文揭示了AI基础设施(MLflow)和工业控制系统(FUXA)同时面临的高危漏洞,且攻击者利用速度极快,对AI从业者和OT安全团队具有重要警示意义。

技术解析

  • CVE-2026-64849利用MLflow模型注册表webhooks处理HTTP重定向的缺陷,绕过先前修复,允许未认证攻击者通过受影响的Tracking Server向内部云元数据端点发起请求,提取敏感数据
  • CVE-2026-25895结合认证缺失与路径遍历,攻击者可写入任意文件到服务器文件系统,VulnCheck观察到攻击者尝试通过该漏洞覆盖main.js文件
  • watchTowr全球蜜罐遥测数据显示攻击者正针对云托管的MLflow系统,试图从已知内部IP地址和服务中提取凭证
  • FUXA漏洞并非孤立,过去一年内CVE-2026-25939和CVE-2023-33831也遭活跃利用,后者活动可追溯至2025年11月

行业启示

  • AI平台安全需纳入整体云安全策略,MLflow等开源工具的SSRF漏洞可直接导致云环境凭证泄露,建议立即修补并审查审计日志
  • OT/SCADA系统安全威胁持续升级,FUXA作为工业控制软件频繁曝出漏洞,组织应加强暴露面管理,限制公网可访问性
  • 漏洞披露后攻击窗口极短(数小时内即遭扫描),建立快速响应机制和自动化补丁管理至关重要

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