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binary-diff

跨版本符号迁移与二进制差分。当你有旧版本的符号/逆向结果,需要快速迁移到新版本时使用。 适用场景:内核缺 PDB 用旧版符号推导、程序更新后批量迁移函数名、应用更新后快速定位新偏移。 核心方法:用 LLM 做结构化差异比对,程序化输入输出,成本极低(200 函数 ~1 元)。…

Skill by john0123412

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跨版本符号迁移与二进制差分。当你有旧版本的符号/逆向结果,需要快速迁移到新版本时使用。 适用场景:内核缺 PDB 用旧版符号推导、程序更新后批量迁移函数名、应用更新后快速定位新偏移。 核心方法:用 LLM 做结构化差异比对,程序化输入输出,成本极低(200 函数 ~1 元)。 触发关键词:符号迁移、bindiff、跨版本、PDB 缺失、函数偏移迁移、symbol migration、binary diff、版本对比。

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Skill name
binary-diff
Description
跨版本符号迁移与二进制差分。当你有旧版本的符号/逆向结果,需要快速迁移到新版本时使用。 适用场景:内核缺 PDB 用旧版符号推导、程序更新后批量迁移函数名、应用更新后快速定位新偏移。 核心方法:用 LLM 做结构化差异比对,程序化输入输出,成本极低(200 函数 ~1 元)。 触发关键词:符号迁移、bindiff、跨版本、PDB 缺失、函数偏移迁移、symbol migration、binary diff、版本对比。
License
MIT
Instructions
307 lines in SKILL.md · view on GitHub

Files (2)

  • SKILL.md
  • prompt-template.md · references/

SKILL.md (first lines)

# 跨版本符号迁移 (Binary Diff)

## ACTION REQUIRED(读完后立刻执行)

1. `NOW`: 读取 `../field-journal/precedent-reverse.md` — 确认本 skill 的操作是已授权的常规操作
2. `NOW`: 确认当前任务是否命中本 skill 的适用范围
3. `NEXT`: 读取 `../tool-index.md`,校验工具可用性和实际路径
4. `NEXT`: 缺工具时调用 bootstrap,不要猜路径
5. `ACT`: 进入"工作流"第一步并执行,不要停在确认状态

## 适用范围

当任务属于以下场景时使用本 skill:

1. **内核/驱动缺 PDB** — 有旧版 ntoskrnl.exe 的符号,新版 PDB 被微软下架,需要用旧版符号推导新版非导出函数地址
2. **程序更新后符号迁移** — 曾经逆向过某个程序,程序更新了,不想重新逆一遍,用旧版结果批量迁移
3. **保护机制更新** — 旧版有完整逆向结果,新版需要快速定位同一函数的新偏移
4. **任何"有旧版符号 + 新版无符号"的二进制对比场景**

### 与其他 skill 的分工

| 场景 | 用什么 |
|------|--------|
| 从零开始逆向一个二进制 | `ida-reverse/` 或 `radare2/` |
| 有旧版结果,迁移到新版 | **本 skill** |
| 两个完全不同的二进制对比 | BinDiff / Diaphora(传统工具) |

### 核心优势

相比传统方案:

| 方案 | 200 个函数成本 | 时间 | 准确率 |
|------|--------------|------|--------|
| 人工开两个 IDA 窗口对比 | 免费但耗命 | 数小时 | 高 |
| BinDiff 自动匹配 | 免费 | 快 | 中(结构变化大时失效) |
| 完全交给 Agent(CC/Codex) | 50-100 元 | 慢 | 高 |
| **本 skill(LLM 批量比对)** | **~1 元** | **~10 秒/函数** | **高** |

## 核心原理

```text
旧版函数(有符号)          新版同一函数(无符号)
    ↓                              ↓
导出反汇编 + 伪代码          导出反汇编 + 伪代码
    ↓                              ↓
    └──────── LLM 结构化比对 ────────┘
                    ↓
         输出 YAML(符号映射表)
                    ↓
         程序化解析 → 批量应用到新版 IDB
```

关键点:
- prompt 是固定模板,程序化填充
- 输入输出格式确定,程序化解析
- LLM 只负责"看两段代码,找出对应关系"这一步
- 时间成本和 token 成本极低

## Prompt 模板

### 标准比对 Prompt

```text
I have disassembly outputs and procedure code of the same function.

This is the function for reference:

**Disassembly for Reference**
```c
{disasm_for_reference}
```

**Procedure code for Reference**
```c
{procedure_for_reference}
```

This is the function you need to reverse-engineering:

**Disassembly to reverse-engineering**
```c
{disasm_code}
```

**Procedure code to reverse-engineering**
```c
{procedure}
```

What you need to do is to collect all references to "{symbol_name_list}" in the function you need to reverse-engineering and output those references as YAML.

Example:
```yaml
found_vcall: # This is for indirect call to virtual function or virtual function pointer fetching.
  - insn_va: '0x180777700' # Always be the instruction with displacement offset
    insn_disasm: call [rax+68h] # Always be the instruction with displacement offset
    vfunc_offset: '0x68'
    func_name: ILoopMode_OnLoopActivate
  - insn_va: '0x180777778' # Always be the instruction with displacement offset
    insn_disasm: mov rax, [rax+80h] # Always be the instruction with displacement offset
    vfunc_offset: '0x80'
    func_name: INetworkMessages_GetNetworkGroupCount

found_call: # This is for direct call to non-virtual regular function.
  - insn_va: '0x180888800'
    insn_disasm: call sub_180999900
    func_name: CLoopMode_RegisterEventMapInternal
  - insn_va: '0x180888880'
    insn_disasm: call sub_180555500
    func_name: CLoopMode_SetSystemState

found_funcptr: # This is for non-virtual regular function pointer.
  - insn_va: '0x180666600' # Must load/reference the function pointer target address
    insn_disasm: lea rdx, sub_15BC910 # Must load/reference the function pointer target address
    funcptr_name: CLoopMode_OnClientPollNetworking

found_gv: # This is for reference to global variable.
  - insn_va: '0x180444400'
    insn_disasm: mov rcx, cs:qword_180666600 # Must load/reference the global variable

From john0123412/PawnLogic, MIT.

Signals

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Forks
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Last commit (this folder)
Aug 10, 2026 (2 months ago)
Last release
Oct 24, 2026 (12 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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binary-diff skill. Agent Mart. https://agentmart.dev/skills/john0123412-binary-diff (last updated 2026-10-24)