Update from task 8997f467-9136-4c3c-93e9-e8611cfc9384 - #133
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…rPoint assistants * Modify zc_excel.py to replace string-based denylist with AST-based validation for generated code execution, preventing code injection attacks through encoding or obfuscation * Modify zc_powerpoint.py to implement identical AST-based security model as Excel assistant, using ast.parse and checking for forbidden nodes and attributes * Update zc_code.py to import shlex for proper command argument splitting in hook execution, enhancing subprocess security * Refactor .gitignore to use cleaner markdown-style code block formatting * Remove hardcoded example service token from .env.example, replacing with generation instruction for improved security posture The changes enhance security for local code execution features by moving from easily bypassed string denylists to robust AST-based validation, ensuring generated code cannot access forbidden modules or attributes.
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ECC bundle files are already tracked in this repository. Skipping generation of another bundle PR. |
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Code Review
This pull request replaces string-based denylists with AST-based validation in the Excel and PowerPoint services to prevent unsafe code execution, cleans up the .env.example file, and reorganizes .gitignore. Feedback indicates that the .gitignore file was accidentally wrapped in markdown code block backticks. Furthermore, the new AST-based validation is vulnerable to sandbox escapes using Python dunder attributes (such as dict or globals), which should be added to the forbidden attributes list to ensure robust security.
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| _FORBIDDEN_ATTRS = frozenset([ | ||
| "os", "sys", "subprocess", "socket", "shutil", "pathlib", | ||
| "open", "eval", "exec", "__import__", "compile", "globals", | ||
| "locals", "vars", "dir", "getattr", "setattr", "delattr", | ||
| ]) |
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The AST-based validation can be bypassed using Python's special double-underscore (dunder) attributes. For example, an attacker could use pd.__dict__['os'] or [].__class__.__base__.__subclasses__() to access forbidden modules and functions, bypassing the _FORBIDDEN_ATTRS check. To prevent sandbox escape, add dangerous dunder attributes to the forbidden list.
_FORBIDDEN_ATTRS = frozenset([
"os", "sys", "subprocess", "socket", "shutil", "pathlib",
"open", "eval", "exec", "__import__", "compile", "globals",
"locals", "vars", "dir", "getattr", "setattr", "delattr",
"__dict__", "__globals__", "__subclasses__", "__getattribute__",
"__class__", "__builtins__", "__code__", "__func__", "__self__",
"__base__", "__bases__", "__mro__"
])| _FORBIDDEN_ATTRS = frozenset([ | ||
| "os", "sys", "subprocess", "socket", "shutil", "pathlib", | ||
| "open", "eval", "exec", "__import__", "compile", "globals", | ||
| "locals", "vars", "dir", "getattr", "setattr", "delattr", | ||
| ]) |
There was a problem hiding this comment.
The AST-based validation can be bypassed using Python's special double-underscore (dunder) attributes. For example, an attacker could use slides.__class__.__init__.__globals__ or other dunder attributes to access forbidden modules and functions, bypassing the _FORBIDDEN_ATTRS check. To prevent sandbox escape, add dangerous dunder attributes to the forbidden list.
_FORBIDDEN_ATTRS = frozenset([
"os", "sys", "subprocess", "socket", "shutil", "pathlib",
"open", "eval", "exec", "__import__", "compile", "globals",
"locals", "vars", "dir", "getattr", "setattr", "delattr",
"__dict__", "__globals__", "__subclasses__", "__getattribute__",
"__class__", "__builtins__", "__code__", "__func__", "__self__",
"__base__", "__bases__", "__mro__"
])| ``` | ||
| # Environment variables |
| .mypy_cache/ | ||
| ``` No newline at end of file |
This PR was created by qwen-chat coder for task 8997f467-9136-4c3c-93e9-e8611cfc9384.