### Summary Using idlelib.debugobj.ObjectTreeItem.SetText, which is a built-in python 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 idlelib.debugobj.ObjectTreeItem.SetText 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 ``` class EvilDebugobjSetText: def __reduce__(self): from idlelib.debugobj import ObjectTreeItem # ObjectTreeItem(..., setfunction=print).SetText(cmd) return ObjectTreeItem("label", None, print).SetText, ("__import__('os').system('whoami')",) ``` ### 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. ### Corresponding https://github.com/FredericDT https://github.com/Qhaoduoyu
### Summary Using idlelib.debugobj.ObjectTreeItem.SetText, which is a built-in python 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 idlelib.debugobj.ObjectTreeItem.SetText 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 ``` class EvilDebugobjSetText: def __reduce__(self): from idlelib.debugobj import ObjectTreeItem # ObjectTreeItem(..., setfunction=print).SetText(cmd) return ObjectTreeItem("label", None, print).SetText, ("__import__('os').system('whoami')",) ``` ### 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. ### Corresponding https://github.com/FredericDT https://github.com/Qhaoduoyu
Update picklescan to 0.0.29 if you use the affected versions. Test the change in a non-production environment first.
Local check
hol-guard supply-chain scanPicklescan has a missing detection when calling built-in python idlelib.debugobj.ObjectTreeItem affects picklescan (pip). Severity is high. ### Summary Using idlelib.debugobj.ObjectTreeItem.SetText, which is a built-in python 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 idlelib.debugobj.ObjectTreeItem.SetText 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 ``` class EvilDebugobjSetText: def __reduce__(self): from idlelib.debugobj import ObjectTreeItem # ObjectTreeItem(..., setfunction=print).SetText(cmd) return ObjectTreeItem("label", None, print).SetText, ("__import__('os').system('whoami')",) ``` ### 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. ### Corresponding https://github.com/FredericDT https://github.com/Qhaoduoyu
AI coding agents often install or upgrade packages automatically in pip. A high vulnerability in a dependency can be pulled into a project through a normal install or update without a human reviewing the change, expanding the blast radius from a single package to every agent workspace that depends on it.
| Package | Affected range | Fixed version |
|---|---|---|
| picklescanpip | <0.0.29 | 0.0.29 |
Fixed versions are reported by the source feed; confirm compatibility before updating.
Reported by GitHub Security Advisories (ghsa).
HOL Guard can help your team review package activity against supported protection paths.
Explore HOL GuardUpdate picklescan to 0.0.29 if you use the affected versions. Test the change in a non-production environment first.
Local check
hol-guard supply-chain scanPicklescan has a missing detection when calling built-in python idlelib.debugobj.ObjectTreeItem affects picklescan (pip). Severity is high. ### Summary Using idlelib.debugobj.ObjectTreeItem.SetText, which is a built-in python 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 idlelib.debugobj.ObjectTreeItem.SetText 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 ``` class EvilDebugobjSetText: def __reduce__(self): from idlelib.debugobj import ObjectTreeItem # ObjectTreeItem(..., setfunction=print).SetText(cmd) return ObjectTreeItem("label", None, print).SetText, ("__import__('os').system('whoami')",) ``` ### 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. ### Corresponding https://github.com/FredericDT https://github.com/Qhaoduoyu
AI coding agents often install or upgrade packages automatically in pip. A high vulnerability in a dependency can be pulled into a project through a normal install or update without a human reviewing the change, expanding the blast radius from a single package to every agent workspace that depends on it.
| Package | Affected range | Fixed version |
|---|---|---|
| picklescanpip | <0.0.29 | 0.0.29 |
Fixed versions are reported by the source feed; confirm compatibility before updating.
Reported by GitHub Security Advisories (ghsa).
HOL Guard can help your team review package activity against supported protection paths.
Explore HOL Guard