Probe and check coverage aligned to AML
T0048 (Backdoor ML Model).
Train or fine-tune a backdoored model that activates on a hidden trigger.
Last reviewed July 2026
In MITRE ATLAS, Backdoor ML Model addresses persistence. Train or fine-tune a backdoored model that activates on a hidden trigger. Penaxtra records this control at critical severity and establishes its state by exercising it against the running system, so the result reflects observed behavior rather than a documented assertion.
Penaxtra maps its probe families to this ATLAS technique, so activity matching backdoor ml model surfaces as a finding carrying the AML.T0048 technique identifier for threat tracking and reporting. The MITRE ATLAS AML.T0048 identifier is attached when the finding is created, so it appears in the exported evidence pack already mapped to the control. Where the same weakness maps to another framework, the finding carries those control identifiers as well.
T0048 (Backdoor ML Model).
T0048 identifier.
Findings for AML.T0048 carry the MITRE ATLAS AML.T0048 identifier along with the corresponding control identifiers in the other frameworks Penaxtra maps, so one result is reflected across each mapped framework.
Train or fine-tune a backdoored model that activates on a hidden trigger. It is a MITRE ATLAS control; Penaxtra assesses it at critical severity.
Penaxtra maps its probe families to this ATLAS technique, so activity matching backdoor ml model surfaces as a finding carrying the AML.T0048 technique identifier for threat tracking and reporting.
Each finding is tagged with the MITRE ATLAS AML.T0048 identifier and exported in the PDF and JSON evidence pack, so it appears on the auditor control list with the identifier already attached.