GHSA-8mc5-7w9m-fqv6
Duplicate Advisory: Picklescan is missing detection when calling built-in python idlelib.pyshell.ModifiedInterpreter.runcommand
High
Withdrawn Sep 11, 2026
PyPI
- Severity
- 0.0 / 10
- High · CVSS 4.0
- Exploit chance (EPSS)
- —
- No score published
- Known exploited
- No
- Not in CISA's catalog
- Weakness
- CWE-502 Deserialization of Untrusted Data
- Fix
0.0.30- Upgrade picklescan to this version or later
Description
Duplicate Advisory
This advisory has been withdrawn because it is a duplicate of GHSA-j343-8v2j-ff7w. This link is maintained to preserve external references.
Original Description
picklescan before 0.0.30 fails to detect malicious pickle files using idlelib.pyshell.ModifiedInterpreter.runcommand in reduce methods. Attackers can embed undetected code in pickle files that executes remote commands when loaded by victims.
Affected versions
PyPI
| Package | Vulnerable | Fixed in |
|---|---|---|
| picklescan | < 0.0.30 |
0.0.30 |
How to fix
Move to the fixed version or later with your package manager, update the lockfile, and run your tests. If the package only arrives through another dependency, upgrade that dependency first. If none of its releases pulls a fixed version yet, force the version with your package manager's override.
picklescan PyPI → 0.0.30
- pip
pip install --upgrade "picklescan>=0.0.30"- poetry
poetry add "picklescan>=0.0.30"- uv
uv add "picklescan>=0.0.30"
Severity breakdown
CVSS 4.0 0.0
CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:P/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N
- Attack vector
- Network
- Attack complexity
- Low
- Attack requirements
- Present
- Privileges required
- None
- User interaction
- Passive
- Confidentiality (vulnerable system)
- High
- Integrity (vulnerable system)
- High
- Availability (vulnerable system)
- None
- Confidentiality (subsequent systems)
- None
- Integrity (subsequent systems)
- None
- Availability (subsequent systems)
- None
CVSS 3.1 8.1
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N
- Attack vector
- Network
- Attack complexity
- Low
- Privileges required
- None
- User interaction
- Required
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- High
- Availability
- None
Weakness
CWE-502: Deserialization of Untrusted Data
The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.
How to prevent it
- Architecture and Design, Implementation: If available, use the signing/sealing features of the programming language to assure that deserialized data has not been tainted. For example, a hash-based message authentication code (HMAC) could be used to ensure that data has not been modified.
- Implementation: When deserializing data, populate a new object rather than just deserializing. The result is that the data flows through safe input validation and that the functions are safe.
- Implementation: Explicitly define a final object() to prevent deserialization.
- Architecture and Design, Implementation: Make fields transient to protect them from deserialization. An attempt to serialize and then deserialize a class containing transient fields will result in NULLs where the transient data should be. This is an excellent way to prevent time, environment-based, or sensitive variables from being carried over and used improperly.
- Implementation: Avoid having unnecessary types or gadgets (a sequence of instances and method invocations that can self-execute during the deserialization process, often found in libraries) available that can be leveraged for malicious ends. This limits the potential for unintended or unauthorized types and gadgets to be leveraged by the attacker. Add only acceptable classes to an allowlist. Note: new gadgets are constantly being discovered, so this alone is not a sufficient mitigation.
- Architecture and Design, Implementation: Employ cryptography of the data or code for protection. However, it's important to note that it would still be client-side security. This is risky because if the client is compromised then the security implemented on the client (the cryptography) can be bypassed.
- Operation: Use an application firewall that can detect attacks against this weakness. It can be beneficial in cases in which the code cannot be fixed (because it is controlled by a third party), as an emergency prevention measure while more comprehensive software assurance measures are applied, or to provide defense in depth [REF-1481].
References
Advisories
Packages
Other links
Timeline
- Published
- Withdrawn
- Last updated by the source
Related advisories
| Advisory | Severity | Why it's related |
|---|---|---|
| GHSA-g38g-8gr9-h9xp PickleScan has multiple stdlib modules with direct RCE not in blocklist | Critical | Also affects picklescan |
| GHSA-vvpj-8cmc-gx39 PickleScan's pkgutil.resolve_name has a universal blocklist bypass | Critical | Also affects picklescan |
| GHSA-7wx9-6375-f5wh PickleScan's profile.run blocklist mismatch allows exec() bypass | Critical | Also affects picklescan |
| GHSA-97f8-7cmv-76j2 Picklescan (scan_pytorch) Bypass via dynamic eval MAGIC_NUMBER | High | Also affects picklescan |
| GHSA-m7j5-r2p5-c39r picklescan vulnerable to arbitrary file create using logging.FileHandler | Medium | Also affects picklescan |
| GHSA-9m3x-qqw2-h32h picklescan missing detection by simple obfuscation of a `builtins.eval` call | Critical | Also affects picklescan |
| GHSA-9726-w42j-3qjr picklescan has Arbitrary file read using `io.FileIO` | High | Also affects picklescan |
| GHSA-46h3-79wf-xr6c Picklescan is vulnerable to RCE via missing detection when calling built-in python _operator.attrgetter | High | Also affects picklescan |
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