用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/CyberStrikeus/CyberStrike --skill t1213-006-databases命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
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
基于 SOC 职业分类
正在显示 SKILL.md
| 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 |