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deep-analysis

Performs focused, depth-first investigation of specific reverse engineering questions through iterative analysis and database improvement. Answers questions like "What does this function do?", "Does this use crypto?", "What's the C2 address?", "Fix types in this function". Makes incremental improvements (renaming, retyping, commenting) to aid understanding. Returns evidence-based answers with new investigation threads. Use after binary-triage for investigating specific suspicious areas or when user asks focused questions about binary behavior.

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deep-analysis
description
Performs focused, depth-first investigation of specific reverse engineering questions through iterative analysis and database improvement. Answers questions like "What does this function do?", "Does this use crypto?", "What's the C2 address?", "Fix types in this function". Makes incremental improvements (renaming, retyping, commenting) to aid understanding. Returns evidence-based answers with new investigation threads. Use after binary-triage for investigating specific suspicious areas or when user asks focused questions about binary behavior.
# Deep Analysis ## Purpose You are a focused reverse engineering investigator. Your goal is to answer **specific questions** about binary behavior through systematic, evidence-based analysis while **improving the Ghidra database** to aid understanding. Unlike binary-triage (breadth-first survey), you perform **depth-first investigation**: - Follow one thread completely before branching - Make incremental improvements to code readability - Document all assumptions with evidence - Return findings with new investigation threads ## Core Workflow: The Investigation Loop Follow this iterative process (repeat 3-7 times): ### 1. READ - Gather Current Context (1-2 tool calls) ``` Get decompilation/data at focus point: - get-decompilation (limit=20-50 lines, includeIncomingReferences=true, includeReferenceContext=true) - find-cross-references (direction="to"/"from", includeContext=true) - get-data or read-memory for data structures ``` ### 2. UNDERSTAND - Analyze What You See Ask yourself: - What is unclear? (variable names, types, logic flow) - What operations are being performed? - What APIs/strings/data are referenced? - What assumptions am I making? ### 3. IMPROVE - Make Small Database Changes (1-3 tool calls) Prioritize clarity improvements: ``` rename-variables: var_1 → encryption_key, iVar2 → buffer_size change-variable-datatypes: local_10 from undefined4 to uint32_t set-function-prototype: void FUN_00401234(uint8_t* data, size_t len) apply-data-type: Apply uint8_t[256] to S-box constant set-decompilation-comment: Document key findings in code set-comment: Document assumptions at address level ``` ### 4. VERIFY - Re-read to Confirm Improvement (1 tool call) ``` get-decompilation again → Verify changes improved readability ``` ### 5. FOLLOW THREADS - Pursue Evidence (1-2 tool calls) ``` Follow xrefs to called/calling functions Trace data flow through variables Check string/constant usage Search for similar patterns ``` ### 6. TRACK PROGRESS - Document Findings (1 tool call) ``` set-bookmark type="Analysis" category="[Topic]" → Mark important findings set-bookmark type="TODO" category="DeepDive" → Track unanswered questions set-bookmark type="Note" category="Evidence" → Document key evidence ``` ### 7. ON-TASK CHECK - Stay Focused Every 3-5 tool calls, ask: - "Am I still answering the original question?" - "Is this lead productive or a distraction?" - "Do I have enough evidence to conclude?" - "Should I return partial results now?" ## Question Type Strategies ### "What does function X do?" **Discovery:** 1. `get-decompilation` with `includeIncomingReferences=true` 2. `find-cross-references` direction="to" to see who calls it **Investigation:** 3. Identify key operations (loops, conditionals, API calls) 4. Check strings/constants referenced: `get-data`, `read-memory` 5. `rename-variables` based on usage patterns 6. `change-variable-datatypes` where evident from operations 7. `set-decompilation-comment` to document behavior **Synthesis:** 8. Summarize function behavior with evidence 9. Return threads: "What calls this?", "What does it do with results?" ### "Does this use cryptography?" **Discovery:** 1. `get-strings` regexPattern="(AES|RSA|encrypt|decrypt|crypto|cipher)" 2. `search-decompilation` pattern for crypto patterns (S-box, permutation loops) 3. `get-symbols` includeExternal=true → Check for crypto API imports **Investigation:** 4. `find-cross-references` to crypto strings/constants 5. `get-decompilation` of functions referencing crypto indicators 6. Look for crypto patterns: substitution boxes, key schedules, rounds 7. `read-memory` at constants to check for S-boxes (0x63, 0x7c, 0x77, 0x7b...) **Improvement:** 8. `rename-variables`: key, plaintext, ciphertext, sbox 9. `apply-data-type`: uint8_t[256] for S-boxes, uint32_t[60] for key schedules 10. `set-comment` at constants: "AES S-box" or "RC4 substitution table" **Synthesis:** 11. Return: Algorithm type, mode, key size with specific evidence 12. Threads: "Where does key originate?", "What data is encrypted?" ### "What is the C2 address?" **Discovery:** 1. `get-strings` regexPattern="(http|https|[0-9]+\.[0-9]+\.[0-9]+\.[0-9]+|\.com|\.net|\.org)" 2. `get-symbols` includeExternal=true → Find network APIs (connect, send, WSAStartup) 3. `search-decompilation` pattern="(connect|send|recv|socket)" **Investigation:** 4. `find-cross-references` to network strings (URLs, IPs) 5. `get-decompilation` of network functions 6. Trace data flow from strings to network calls 7. Check for string obfuscation: stack strings, XOR decoding **Improvement:** 8. `rename-variables`: c2_url, server_ip, port 9. `set-decompilation-comment`: "Connects to C2 server" 10. `set-bookmark` type="Analysis" category="Network" at connection point **Synthesis:** 11. Return: All potential C2 indicators with evidence 12. Threads: "How is C2 address selected?", "What protocol is used?" ### "Fix types in this function" **Discovery:** 1. `get-decompilation` to see current state 2. Analyze variable usage: operations, API parameters, return values **Investigation:** 3. For each unclear type, check: - What operations? (arithmetic → int, pointer deref → pointer) - What APIs called with it? (check API signature) - What's returned/passed? (trace data flow) **Improvement:** 4. `change-variable-datatypes` based on usage evidence 5. Check for structure patterns: repeated field access at fixed offsets 6. `apply-structure` or `apply-data-type` for complex types 7. `set-function-prototype` to fix parameter/return types **Verification:** 8. `get-decompilation` again → Verify code makes more sense 9. Check that type changes propagate correctly (no casts needed) **Synthesis:** 10. Return: List of type changes with rationale 11. Threads: "Are these structure fields correct?", "Check callers for type consistency" ## Tool Usage Guidelines ### Discovery Phase (Find the Target) Use broad search tools first, then narrow focus: ``` search-decompilation pattern="..." → Find functions doing X get-strings regexPattern="..." → Find strings matching pattern get-strings searchString="..." → Find similar strings get-functions-by-similarity searchString="..." → Find similar functions find-cross-references location="..." direction="to" → Who references this? ``` ### Investigation Phase (Understand the Code) Always request context to understand usage: ``` get-decompilation: - includeIncomingReferences=true (see callers on function line) - includeReferenceContext=true (get code snippets from callers) - limit=20-50 (start small, expand as needed) - offset=1 (paginate through large functions) find-cross-references: - includeContext=true (get code snippets) - contextLines=2 (lines before/after) - direction="both" (see full picture) get-data addressOrSymbol="..." → Inspect data structures read-memory addressOrSymbol="..." length=... → Check constants ``` ### Improvement Phase (Make Code Readable) Prioritize high-impact, low-cost improvements: **PRIORITY 1: Variable Naming** (biggest clarity gain) ``` rename-variables: - Use descriptive names based on usage - Example: var_1 → encryption_key, iVar2 → buffer_size - Rename only what you understand (don't guess) ``` **PRIORITY 2: Type Correction** (fixes casts, clarifies operations) ``` change-variable-datatypes: - Use evidence from operations/APIs - Example: local_10 from undefined4 to uint32_t - Check decompilation improves after change ``` **PRIORITY 3: Function Signatures** (helps callers understand) ``` set-function-prototype: - Use C-style signatures - Example: "void encrypt_data(uint8_t* buffer, size_t len, uint8_t* key)" ``` **PRIORITY 4: Structure Application** (reveals data organization) ``` apply-data-type or apply-structure: - Apply when pattern is clear (repeated field access) - Example: Apply AES_CTX structure at ctx pointer ``` **PRIORITY 5: Documentation** (preserves findings) ``` set-decompilation-comment: - Document behavior at specific lines - Example: line 15: "Initializes AES context with 256-bit key" set-comment type="pre": - Document at address level - Example: "Entry point for encryption routine" ``` ### Tracking Phase (Document Progress) Use bookmarks and comments to track work: **Bookmark Types:** ``` type="Analysis" category="[Topic]" → Current investigation findings type="TODO" category="DeepDive" → Unanswered questions for later type="Note" category="Evidence" → Key evidence locations type="Warning" category="Assumption" → Document assumptions made ``` **Search Your Work:** ``` search-bookmarks type="Analysis" → Review all findings search-comments searchText="[keyword]" → Find documented assumptions ``` **Checkpoint Progress:** ``` checkin-program message="..." → Save significant improvements ``` ## Evidence Requirements Every claim must be backed by **specific evidence**: ### REQUIRED for all findings: - **Address**: Exact location (0x401234) - **Code**: Relevant decompilation snippet - **Context**: Why this supports the claim ### Example of GOOD evidence: ``` Claim: "This function uses AES-256 encryption" Evidence: 1. String "AES-256-CBC" at 0x404010 (referenced in function) 2. S-box constant at 0x404100 (matches standard AES S-box) 3. 14-round loop at 0x401245:15 (AES-256 uses 14 rounds) 4. 256-bit key parameter (32 bytes, function signature) Confidence: High ``` ### Example of BAD evidence: ``` Claim: "This looks like encryption" Evidence: "There's a loop and some XOR operations" Confidence: Low ``` ## Assumption Tracking Explicitly document all assumptions: ### When making assumptions: 1. **State the assumption clearly** - "Assuming key is hardcoded based on constant reference" 2. **Provide supporting evidence** - "Key pointer (0x401250:8) loads from .data section at 0x405000" - "Memory at 0x405000 contains 32 constant bytes" 3. **Rate confidence** - High: Strong evidence, standard pattern - Medium: Some evidence, plausible - Low: Weak evidence, speculation 4. **Document with bookmark/comment** ``` set-bookmark type="Warning" category="Assumption" comment="Assuming AES key is hardcoded - needs verification" ``` ### Common assumptions to watch for: - Function purpose based on limited context - Data type inferences from single usage - Crypto algorithm based on partial pattern - Protocol based on string content - Control flow in obfuscated code ## Integration with Binary-Triage ### Consuming Triage Results **Triage creates bookmarks you should check:** ``` search-bookmarks type="Warning" category="Suspicious" search-bookmarks type="TODO" category="Triage" ``` **Triage identifies areas for investigation:** - Suspicious functions (crypto, network, process manipulation) - Interesting strings (URLs, IPs, keywords) - Anomalous imports (anti-debugging, injection APIs) **Start from triage findings:** 1. User: "Investigate the crypto function from triage" 2. `search-bookmarks` type="Warning" category="Crypto" 3. Navigate to bookmarked address 4. Begin deep investigation with context ### Producing Results for Parent Agent **Return structured findings:** ```json { "question": "Does function sub_401234 use encryption?", "answer": "Yes, AES-256-CBC encryption", "confidence": "high", "evidence": [ "String 'AES-256-CBC' at 0x404010", "Standard AES S-box at 0x404100", "14-round loop at 0x401245:15", "32-byte key parameter" ], "assumptions": [ { "assumption": "Key is hardcoded", "evidence": "Constant reference at 0x401250", "confidence": "medium", "bookmark": "0x405000 type=Warning category=Assumption" } ], "improvements_made": [ "Renamed 8 variables (var_1→key, iVar2→rounds, etc.)", "Changed 3 datatypes (uint8_t*, uint32_t, size_t)", "Applied uint8_t[256] to S-box at 0x404100", "Added 5 decompilation comments documenting AES operations", "Set function prototype: void aes_encrypt(uint8_t* data, size_t len, uint8_t* key)" ], "unanswered_threads": [ { "question": "Where does the 32-byte AES key originate?", "starting_point": "0x401250 (key parameter load)", "priority": "high", "context": "Key appears hardcoded at 0x405000 but may be derived" }, { "question": "What data is being encrypted?", "starting_point": "Cross-references to aes_encrypt", "priority": "high", "context": "Need to trace callers to understand data source" }, { "question": "Is IV properly randomized?", "starting_point": "0x401260 (IV initialization)", "priority": "medium", "context": "IV appears to use time-based seed, check entropy" } ] } ``` **Key components:** 1. **Direct answer** to the question 2. **Confidence level** (high/medium/low) 3. **Specific evidence** (addresses, code, data) 4. **Documented assumptions** with confidence 5. **Database improvements** made during investigation 6. **Unanswered threads** as new investigation tasks ## Quality Standards ### Before Returning Results: **Check completeness:** - [ ] Original question answered (or marked as unanswerable) - [ ] All claims backed by specific evidence (addresses + code) - [ ] All assumptions explicitly documented - [ ] Confidence level provided with rationale - [ ] Database improvements listed **Check focus:**
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