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LAMEHUG:利用动态 AI 生成命令的恶意软件 (AML.CS0044)

一句话通俗理解

APT28 的新玩具:命令由 LLM 动态生成——特征库追不上每台机器都不一样的恶意指令。

案例速览

维度内容
案例类型真实事件
发生时间2025-06-03
攻击者APT28
受害目标Ukraine’s security and defense sector
披露方CERT-UA

事件经过

2025 年 7 月乌克兰安全部门披露 LAMEHUG——归因于俄属 APT28 的新型 AI 增强恶意软件:恶意命令由大模型动态生成,每台感染机器的命令形态都不同,规避静态特征检测;收集的数据经 SFTP/HTTP POST 外传至攻击者服务器。

运用的 ATLAS 技术

以下攻击链映射来自 MITRE ATLAS 官方数据(AML.CS0044 的 employs 关系),按官方步骤编号排序;技术名称链接至本库对应技术文档,引用文字为官方对本次运用的描述。

S00

S01

  • 网络钓鱼 (AML.T0052)

    APT28 sent a phishing email from the compromised account with an attachment containing malware.

S02

S03

  • 伪装 (AML.T0074)

    The attachment was called “Appendix.pdf.zip” which could confuse the recipient into thinking it was a legitimate PDF file.

S04

  • 用户执行 (AML.T0011)

    The attachment contained an executable file with a .pif extension, created using PyInstaller from Python source code which CERT-UA classified as LAMEHUG malware. Files with the .pif extension are executable on Windows.

S05

  • 生成恶意命令 (AML.T0102)

    The LAMEHUG malware abused the Qwen 2.5 Coder 32B Instruct model via its Hugging Face API to generate malicious commands from natural language prompts.

S06

  • 来自本地系统的数据 (AML.T0037)

    The LAMEHUG malware used the AI generated commands to collect system information (saved to %PROGRAMDATA%\info\info.txt) and recursively searched Documents, Desktop, and Downloads to stage files for exfiltration.

S07

关联战术

参考资料

以下为 MITRE ATLAS 官方案例收录的参考来源:


版本: ATLAS 2026.09 | 更新: 2026-10-24 | 模板: ATLAS 案例研究 v1.0