AML.T0000: Search Open Technical Databases
Adversaries may search for publicly available research and technical documentation to learn how and where AI is used within a victim organization. The adversary can use this information to identify targets for attack, or to tailor an existing attack to make it more effective. Organizations often use open source model architectures trained on additional proprietary data in production. Knowledge of this underlying architecture allows the adversary to craft more realistic proxy models (Create Proxy AI Model). An adversary can search these resources for publications for authors employed at the victim organization.
Research and technical materials may exist as academic papers published in Journals and Conference Proceedings, or stored in Pre-Print Repositories, as well as Technical Blogs.
Sub-techniques
AML.T0000.000: Journals and Conference Proceedings
Many of the publications accepted at premier artificial intelligence conferences and journals come from commercial labs. Some journals and conferences are open access, others may require paying for access or a membership. These publications will often describe in detail all aspects of a particular approach for reproducibility. This information can be used by adversaries to implement the paper.
AML.T0000.001: Pre-Print Repositories
Pre-Print repositories, such as arXiv, contain the latest academic research papers that haven't been peer reviewed. They may contain research notes, or technical reports that aren't typically published in journals or conference proceedings. Pre-print repositories also serve as a central location to share papers that have been accepted to journals. Searching pre-print repositories provide adversaries with a relatively up-to-date view of what researchers in the victim organization are working on.
AML.T0000.002: Technical Blogs
Research labs at academic institutions and company R&D divisions often have blogs that highlight their use of artificial intelligence and its application to the organization's unique problems. Individual researchers also frequently document their work in blogposts. An adversary may search for posts made by the target victim organization or its employees. In comparison to Journals and Conference Proceedings and Pre-Print Repositories this material will often contain more practical aspects of the AI system. This could include underlying technologies and frameworks used, and possibly some information about the API access and use case. This will help the adversary better understand how that organization is using AI internally and the details of their approach that could aid in tailoring an attack.
Standards mapping
Where this fits in a TurboPentest engagement
This weakness is not covered by the automated black-box pentest. IntegSec pentesters cover it in a manual engagement.
Frequently asked questions
What is AML.T0000 Search Open Technical Databases?
Adversaries may search for publicly available research and technical documentation to learn how and where AI is used within a victim organization. The adversary can use this information to identify targets for attack, or to tailor an existing attack to make it more effective. Organizations often use open source model architectures trained on additional proprietary data in production. Knowledge of this underlying architecture allows the adversary to craft more realistic proxy models (Create Proxy AI Model). An adversary can search these resources for publications for authors employed at the victim organization. Research and technical materials may exist as academic papers published in Journals and Conference Proceedings, or stored in Pre-Print Repositories, as well as Technical Blogs.
Which tactics does AML.T0000 belong to?
AML.T0000 maps to the Reconnaissance tactic.
Does TurboPentest test for Search Open Technical Databases?
This weakness is not covered by the automated black-box pentest. IntegSec pentesters cover it in a manual engagement.
Related MITRE ATLAS techniques
- ReconnaissanceAML.T0001: Search Open AI Vulnerability Analysis
- ReconnaissanceAML.T0003: Search Victim-Owned Websites
- ReconnaissanceAML.T0004: Search Application Repositories
- ReconnaissanceAML.T0006: Active Scanning
- ReconnaissanceAML.T0064: Gather RAG-Indexed Targets
- ReconnaissanceAML.T0087: Gather Victim Identity Information
About this reference
These security references are maintained by IntegSec, an offensive-security firm whose team holds CISSP, OSCP, and OSCE certifications and has run thousands of penetration tests. Content is kept current as tools, standards, and attack techniques evolve.
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