101 indexed
ATLASATLAS adversarial ML techniques
101 MITRE ATLAS top-level techniques covering the adversarial-ML attack surface, grouped by tactic. Authored by Adam Lundqvist.
6 in Credential Access · 101 total
| ID | Title | Summary |
|---|---|---|
| AML.T0055 | Unsecured Credentials | Adversaries may search compromised systems to find and obtain insecurely stored credentials. These credentials can be stored and/or misplaced in many locations… |
| AML.T0082 | RAG Credential Harvesting | Adversaries may attempt to use their access to a large language model (LLM) on the victim's system to collect credentials. Credentials may be stored in interna… |
| AML.T0083 | Credentials from AI Agent Configuration | Adversaries may access the credentials of other tools or services on a system from the configuration of an AI agent. AI Agents often utilize external tools or… |
| AML.T0090 | OS Credential Dumping | Adversaries may extract credentials from OS caches, application memory, or other sources on a compromised system. Credentials are often in the form of a hash o… |
| AML.T0098 | AI Agent Tool Credential Harvesting | Adversaries may attempt to use their access to an AI agent on the victim's system to retrieve data from available agent tools to collect credentials. Agent too… |
| AML.T0106 | Exploitation for Credential Access | Adversaries may exploit software vulnerabilities in an attempt to collect credentials. Exploitation of a software vulnerability occurs when an adversary takes … |