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- 2026년 4월 22일 14:54
- 감지된 SKILL.md 언어
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소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
메뉴
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/CyberStrikeus/CyberStrike --skill t1213-006-databases명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
macOS post-exploitation for credential harvesting, DTrace monitoring, TCC bypass, and stealth operations via native tools
Windows userland post-exploitation for credential harvesting, monitoring, AMSI/ETW bypass, and stealth operations
Kubernetes post-exploitation for container escape, secret extraction, RBAC abuse, and cluster persistence
SOC 직업 분류 기준
SKILL.md 표시 중
| name | T1213.006_databases |
| description | Adversaries may leverage databases to mine valuable information. |
| category | information-gathering |
| version | 18.1 |
| author | cyberstrike-official |
| tags | ["mitre-attack","enterprise","t1213.006","collection","linux","windows","macos","iaas","saas","sub-technique"] |
| technique_id | T1213.006 |
| tactic | collection |
| all_tactics | ["collection"] |
| platforms | ["Linux","Windows","macOS","IaaS","SaaS"] |
| mitre_url | https://attack.mitre.org/techniques/T1213/006 |
| tech_stack | ["linux","windows","macos","cloud","saas"] |
| cwe_ids | ["CWE-200"] |
| chains_with | ["T1213","T1213.001","T1213.002","T1213.003","T1213.004","T1213.005"] |
| prerequisites | ["T1213"] |
| severity_boost | {"T1213":"Chain with T1213 for deeper attack path","T1213.001":"Chain with T1213.001 for deeper attack path","T1213.002":"Chain with T1213.002 for deeper attack path"} |
Sub-technique of: T1213
Adversaries may leverage databases to mine valuable information. These databases may be hosted on-premises or in the cloud (both in platform-as-a-service and software-as-a-service environments).
Examples of databases from which information may be collected include MySQL, PostgreSQL, MongoDB, Amazon Relational Database Service, Azure SQL Database, Google Firebase, and Snowflake. Databases may include a variety of information of interest to adversaries, such as usernames, hashed passwords, personally identifiable information, and financial data. Data collected from databases may be used for Lateral Movement, Command and Control, or Exfiltration. Data exfiltrated from databases may also be used to extort victims or may be sold for profit.
Platforms: Linux, Windows, macOS, IaaS, SaaS
Identify Attack Surface: Determine if the target environment is susceptible to Databases by examining the target platforms (Linux, Windows, macOS).
Assess Existing Defenses: Review whether mitigations for T1213.006 are in place. If defenses are absent or misconfigured, this technique may be exploitable.
Execute Test: Use tools and methods described in the MITRE ATT&CK page and external references below.
Note: No Atomic Red Team tests available for this technique. See Atomic Red Team GitHub for updates.
Develop and publish policies that define acceptable information to be stored in databases and acceptable handling of customer data. Only store information required for business operations.
Encrypt data stored at rest in databases.
Consider implementing data retention policies to automate periodically archiving and/or deleting data that is no longer needed.
Enforce the principle of least-privilege. Consider implementing access control mechanisms that include both authentication and authorization.
Consider periodic review of accounts and privileges for critical and sensitive databases.
| Finding | Severity | Impact |
|---|---|---|
| Databases technique applicable | Low | Collection |
| CWE ID | Title |
|---|---|
| CWE-200 | Exposure of Sensitive Information |