Case op23 · evaluated model Qwen359B · judges ClaudeAI, GeminiAI, OpenAI

Selection reason: disagreement_census

Understanding point

string hashing
Code snippet · op23/code1.txt
__int64 __fastcall unk_function(LPCSTR a1, int a0)
{
  HMODULE ModuleHandleA; // r10
  __int64 v5; // r8
  _DWORD *v6; // rcx
  char *v7; // rbx
  unsigned int *v8; // r9
  unsigned int v9; // r11d
  char *v10; // rsi
  int v11; // eax
  _BYTE *v12; // rcx
  int i; // edx

  ModuleHandleA = GetModuleHandleA(a1);
  if ( !ModuleHandleA )
    ModuleHandleA = LoadLibraryA(a1);
  v5 = 0;
  v6 = (ModuleHandleA + *(ModuleHandleA + *(ModuleHandleA + 0xF) + 0x88));
  v7 = ModuleHandleA + v6[7];
  v8 = (ModuleHandleA + v6[8]);
  v9 = v6[5];
  v10 = ModuleHandleA + v6[9];
  if ( !v9 )
    return 0;
  while ( 1 )
  {
    v11 = 0;
    v12 = ModuleHandleA + *v8;
    for ( i = *v12; *v12; i = *v12 )
    {
      ++v12;
      v11 = i + 65599 * v11;
    }
    if ( v11 == a0 )
      break;
    v5 = (v5 + 1);
    ++v8;
    if ( v5 >= v9 )
      return 0;
  }
  return ModuleHandleA + *&v7[4 * *&v10[2 * v5]];
}
Evaluated model output (what the LLM said about the code) · op23/result_Qwen359B1.txt
### 1. Functionality Description

This function performs **dynamic function resolution** within a loaded module (DLL or EXE). It takes a module name (`a1`) and an integer hash value (`a0`) as input.

1.  **Module Loading:** It attempts to retrieve a handle to the module specified by `a1`. If the module is not already loaded, it dynamically loads it using `LoadLibraryA`.
2.  **Memory Structure Access:** It performs complex pointer arithmetic to locate a specific data structure within the loaded module's memory space. This structure appears to contain a table of offsets or pointers (`v6`).
3.  **Hash Verification:** It iterates through a table of function pointers or data blocks (`v8`). For each entry, it calculates a custom checksum (hash) of the bytes at that address.
4.  **Lookup:** If the calculated checksum matches the input integer `a0`, the function returns a specific address derived from the module base and lookup tables (`v7`, `v10`).
5.  **Failure:** If no entry matches the hash after checking all entries, it returns `0`.

**Inferred Purpose:** This is likely used to locate a specific payload function or routine within a dynamically loaded library. By using a hash instead of a function name, the malware avoids static analysis tools that rely on symbol names. It also acts as an integrity check; if the code at the target address has been modified (e.g., by a debugger or patch), the hash will not match, and the function will fail to resolve.

### 2. Algorithms Identified

*   **Custom Polynomial Rolling Hash:**
    *   **Evidence:** The loop `v11 = i + 65599 * v11;` inside the `for` loop.
    *   **Analysis:** This is a polynomial hash calculation. `v11` is the accumulator, `i` is the current byte value, and `65599` (0xFFEF) is the multiplier.
    *   **Formula:** $H_{new} = (Byte + (Multiplier \times H_{old}))$.
    *   **Note:** This is not a standard CRC32 or MD5. It is a custom checksum designed to be unique to the specific byte sequence of the target function.

*   **PE Header/Structure Traversal:**
    *   **Evidence:** `ModuleHandleA + *(ModuleHandleA + *(ModuleHandleA + 0xF) + 0x88)`.
    *   **Analysis:** The code accesses memory offsets relative to the module base address (`ModuleHandleA`). This suggests it is navigating the PE header or a custom structure embedded in the binary to find the start of its internal function table.

### 3. Indicators of Compromise (IOCs)

*   **File Paths:**
    *   **None directly visible.** The variable `a1` (LPCSTR) is passed as a parameter. In a runtime context, this would contain the name of the DLL or EXE being loaded (e.g., `C:\Windows\System32\malware.dll`).
*   **IP Addresses / Domains:**
    *   **None.**
*   **Registry Keys:**
    *   **None.**
*   **Commands / Scripts:**
    *   **None.**
*   **Magic Numbers / Signatures:**
    *   **0x65599 (65599):** Used as the multiplier in the custom hash algorithm.
    *   **0xF, 0x88:** Offsets used to locate the internal data structure.

### 4. MITRE ATT&CK Mapping

| Technique ID | Technique Name | Justification |
| :--- | :--- | :--- |
| **T1055.004** | **Dynamic Code Loading** | The function uses `LoadLibraryA` to load a module and then resolves a specific function address within it at runtime based on a hash match, rather than using standard import resolution. |
| **T1027.004** | **Obfuscated Files or Information** | The use of a custom polynomial hash to locate code prevents static analysis tools from identifying the function by name. The complex pointer arithmetic (`ModuleHandleA + ...`) further obfuscates the memory layout. |
| **T1055.001** | **Process Injection** | While not explicitly injecting code, this function is a common component of injection frameworks (e.g., resolving the payload function address before injecting it into a target process). |

### 5. Obfuscation and Evasion Techniques

*   **Custom Hashing:** Instead of comparing function names (strings), the malware compares a calculated integer hash of the function's bytes. This hides the function's identity from static analysis.
*   **Pointer Arithmetic:** The code uses multiple layers of pointer arithmetic (`ModuleHandleA + *(ModuleHandleA + ...)`). This makes it difficult for a reverse engineer to determine the actual memory address of the function table without running the code or setting breakpoints.
*   **Indirect Return:** The function returns a pointer (`__int64`) rather than calling the function directly. This allows the malware to resolve the address first and call it later, potentially in a different context or after further obfuscation.
*   **Integrity Check:** The hash comparison (`if ( v11 == a0 )`) acts as a self-check. If the binary is modified (e.g., by a debugger or anti-virus patching), the hash will fail, potentially causing the malware to abort or behave differently (anti-debugging).

### 6. Observed Facts vs. Inferred Behavior

| Category | Details |
| :--- | :--- |
| **Observed Facts** | • The function signature is `unk_function(LPCSTR a1, int a0)`.<br>• `GetModuleHandleA` and `LoadLibraryA` are called with `a1`.<br>• A loop iterates through entries in `v8`.<br>• A calculation `v11 = i + 65599 * v11` is performed on bytes pointed to by `v12`.<br>• The return value is calculated using `v7`, `v10`, and `v5` (the index of the match). |
| **Inferred Behavior** | • `a1` is the name of a DLL or EXE to be loaded.<br>• `a0` is the expected hash value for the target function.<br>• The malware is attempting to locate a specific function address to execute.<br>• The custom hash is used to verify the integrity of the target function's code.<br>• The complex pointer math is intended to hide the location of the function table from static analysis. |
| **Observed Facts** | • `65599` is used as a multiplier in the hash loop.<br>• Offsets `0xF` and `0x88` are used to access memory structures. |
| **Inferred Behavior** | • `65599` is a custom constant chosen by the malware author to generate a unique signature.<br>• The offsets suggest a custom data structure is embedded in the binary, likely not part of the standard PE header. |

LLM judge panel

ClaudeAI judge verdict: satisfiedop23/judge_ClaudeAI_Qwen359B_up0_1.txt
{
  "understanding_point": "string hashing",
  "full_evaluation": "The understanding point is 'string hashing', referring to the technique of computing hashes of strings (e.g., function/API names) rather than comparing literal strings. The summary extensively describes a custom polynomial rolling hash using multiplier 65599, computed over bytes at target addresses. It states the function compares a calculated integer hash against an input hash to locate functions by hash instead of by name, explicitly: 'By using a hash instead of a function name, the malware avoids static analysis tools that rely on symbol names' and 'Instead of comparing function names (strings), the malware compares a calculated integer hash.' The 65599 multiplier is the classic sdbm/string hashing constant. The summary clearly describes hashing used in place of string name comparison, which is the essence of string hashing. It claims the hash is over function bytes rather than the name string, but it nonetheless conveys the concept of hashing being used instead of string names for resolution. The core idea of hash-based identification replacing string comparison is clearly present.",
  "explanation": "The summary clearly describes a custom polynomial hash (multiplier 65599) used to identify functions by hash instead of by name string, which conveys the string hashing concept used to evade static analysis.",
  "evidence": "Instead of comparing function names (strings), the malware compares a calculated integer hash of the function's bytes. This hides the function's identity from static analysis.",
  "support_strength": 3,
  "satisfied": "true"
}
GeminiAI judge verdict: not_satisfiedop23/judge_GeminiAI_Qwen359B_up0_1.txt
{
  "understanding_point": "string hashing",
  "full_evaluation": "The summary explicitly states that the malware uses a custom hash of \"the function's bytes\" and contrasts this with \"comparing function names (strings)\". It clarifies that the hash is of the code's bytes, not of a string (like a function name). Therefore, the summary indicates that string hashing is *not* what is being performed; rather, a hash of function bytes is used *instead* of string comparison.",
  "explanation": "The summary explicitly states that the malware uses a hash of \"the function's bytes\" and contrasts this with \"comparing function names (strings)\", indicating that string hashing is not being performed.",
  "evidence": "Custom Hashing: Instead of comparing function names (strings), the malware compares a calculated integer hash of the function's bytes.",
  "support_strength": 0,
  "satisfied": "false"
}
OpenAI judge verdict: not_satisfiedop23/judge_OpenAI_Qwen359B_up0_1.txt
{
  "understanding_point": "string hashing",
  "full_evaluation": "The candidate summary discusses hashing extensively, including a custom polynomial rolling hash and the use of hashes instead of names for dynamic resolution. However, it does not clearly state that strings are being hashed. In fact, it repeatedly characterizes the hash input as bytes at an address or the target function's code bytes, saying the function \"calculates a custom checksum (hash) of the bytes at that address\" and that the malware compares \"a calculated integer hash of the function's bytes.\" The phrase \"Instead of comparing function names (strings)\" mentions strings only to say they are not compared, and it does not commit to hashing those strings. Therefore, the specific understanding point \"string hashing\" is not clearly stated or implied, and the summary is at least materially weaker and arguably contradictory because it describes code/data byte hashing rather than string hashing.",
  "explanation": "The summary addresses hashing generally, but it describes hashing bytes or function code, not hashing strings. Mentioning that strings are not compared does not establish string hashing.",
  "evidence": "\"Instead of comparing function names (strings), the malware compares a calculated integer hash of the function's bytes.\"",
  "support_strength": 0,
  "satisfied": "false"
}

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