Azure Machine Learning Security Flaw: Protect Your Pipelines Before Hackers Do!
A critical Azure Machine Learning vulnerability lets attackers with just Storage Account access execute arbitrary code, potentially compromising the entire subscription. The flaw stems from how AML handles invoker scripts, allowing attackers to wreak havoc with a side of malicious code injection and privilege escalation. Is your cloud ready for this uninvited guest?
Hot Take:
Azure Machine Learning vulnerabilities are like that one drawer in your house: you know you should organize it, but you just can’t resist chucking everything in there and hoping for the best. Time to Marie Kondo those permissions before they spark joy for some unwanted guests!
Key Points:
- Privilege escalation flaw allows attackers to execute arbitrary code in AML pipelines.
- Vulnerability found in the storage and execution of invoker scripts.
- Attackers can potentially assume “Owner” permissions on Azure subscriptions.
- Microsoft labels this as “by design,” but updates documentation as a precaution.
- Orca recommends restricting access and enforcing security measures for AML environments.
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